메뉴 건너뛰기




Volumn 48, Issue 2, 2015, Pages

Energy efficiency techniques in cloud computing: A survey and taxonomy

Author keywords

Cloud computing; Consolidation; Data center; Documentation; Energy efficiency; Information and Communication Technology (ICT); Multicores; Resource Management System (RMS); Resource scheduling; Theory; Virtual Machines (VMs); Virtualization

Indexed keywords

CLOUD COMPUTING; COMPUTATION THEORY; CONSOLIDATION; DISTRIBUTED COMPUTER SYSTEMS; ENERGY UTILIZATION; INFORMATION MANAGEMENT; SCHEDULING; SYSTEM PROGRAM DOCUMENTATION; TAXONOMIES;

EID: 84945913595     PISSN: 03600300     EISSN: 15577341     Source Type: Journal    
DOI: 10.1145/2742488     Document Type: Article
Times cited : (170)

References (151)
  • 1
    • 77952280810 scopus 로고    scopus 로고
    • Joint optimization of idle and cooling power in data centers while maintaining response time
    • March 2010
    • Faraz Ahmad and T. N. Vijaykumar. 2010. Joint optimization of idle and cooling power in data centers while maintaining response time. ACM SIGPLAN Notices 45, 3 (March 2010) 243-256. DOI: http://dx.doi.org/10.1145/1735971.1736048
    • (2010) ACM SIGPLAN Notices , vol.45 , Issue.3 , pp. 243-256
    • Ahmad, F.1    Vijaykumar, T.N.2
  • 3
    • 77951770504 scopus 로고    scopus 로고
    • Energy-efficient algorithms
    • Susanne Albers. 2010. Energy-efficient algorithms. Communications of the ACM 53, 5 (2010), 86-96. DOI: http://doi.acm.org/10.1145/1735223.1735245
    • (2010) Communications of the ACM , vol.53 , Issue.5 , pp. 86-96
    • Albers, S.1
  • 4
    • 84870310949 scopus 로고    scopus 로고
    • An economic and energy-aware analysis of the viability of outsourcing cluster computing to the cloud
    • Carlos De Alfonso, Miguel Caballer, Fernando Alvarruiz, and Germán Moltó. 2013. An economic and energy-aware analysis of the viability of outsourcing cluster computing to the cloud. Future Generation Computer Systems 29, 3 (2013) 704-712. DOI:http://dx.doi.org/10.1016/j.future.2012.08.014
    • Future Generation Computer Systems , vol.29 , Issue.3 , pp. 704-712
    • De Alfonso, C.1    Caballer, M.2    Alvarruiz, F.3    Germán Molto4
  • 5
    • 84888636596 scopus 로고    scopus 로고
    • An energy management system for cluster infrastructures
    • Carlos De Alfonso, Miguel Caballer, Fernando Alvarruiz, and Vicente Hernández. 2013. An energy management system for cluster infrastructures. Computers and Electrical Engineering 39, 8 (2013) 2579-2590. DOI:http://dx.doi.org/10.1016/j.compeleceng.2013.05.004
    • Computers and Electrical Engineering , vol.39 , Issue.8 , pp. 2579-2590
    • De Alfonso, C.1    Caballer, M.2    Alvarruiz, F.3    Hernández, V.4
  • 6
    • 84875452140 scopus 로고    scopus 로고
    • Efficient autonomic cloud computing using online discrete event simulation. 2013
    • Michele Amoretti, Francesco Zanichelli, and Gianni Conte. 2013. Efficient autonomic cloud computing using online discrete event simulation. 2013. Journal of Parallel and Distributed Computing 73, 6 (2013) 767-776. DOI:http://dx.doi.org/10.1016/j.jpdc.2013.02.008
    • (2013) Journal of Parallel and Distributed Computing , vol.73 , Issue.6 , pp. 767-776
    • Amoretti, M.1    Zanichelli, F.2    Conte, G.3
  • 9
    • 85019514248 scopus 로고    scopus 로고
    • Green cloud computing: Balancing energy in processing, storage, and transport
    • Jayant Baliga, Robert W. Ayre, Kerry Hinton, and Rodney. S. Tucker. (2011). Green cloud computing: Balancing energy in processing, storage, and transport. Proceedings of the IEEE 99, 1 (2011), 149-167. DOI:http://dx.doi.org/10.1109/jproc.2010.2060451
    • (2011) Proceedings of the IEEE , vol.99 , Issue.1 , pp. 149-167
    • Baliga, J.1    Ayre, R.W.2    Hinton, K.3    Tucker, R.S.4
  • 12
    • 79952812919 scopus 로고    scopus 로고
    • A taxonomy and survey of energy-efficient data centers and cloud computing systems
    • Anton Beloglazov, Rajkumar Buyya, Young C. Lee, and Albert Zomaya. 2011. A taxonomy and survey of energy-efficient data centers and cloud computing systems. Advances in Computers 82, 2 (2011), 47-111.
    • (2011) Advances in Computers , vol.82 , Issue.2 , pp. 47-111
    • Beloglazov, A.1    Buyya, R.2    Lee, Y.C.3    Zomaya, A.4
  • 13
    • 84857370722 scopus 로고    scopus 로고
    • Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
    • Anton Beloglazov, Jemal Abawajy, and Rajkumar Buyya. 2012. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing. Future Generation Computer Systems 28 (2012), 755-768. DOI:http://dx.doi.org/10.1016/j.future.2011.04.017
    • (2012) Future Generation Computer Systems , vol.28 , pp. 755-768
    • Beloglazov, A.1    Abawajy, J.2    Buyya, R.3
  • 14
    • 84864511735 scopus 로고    scopus 로고
    • Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
    • Anton Beloglazov and Rajkumar Buyya. 2012. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Concurrency and Computation: Practice and Experience 24, 13 (2012), 1397-1420. DOI:http://dx.doi.org/10.1002/cpe.1867
    • (2012) Concurrency and Computation: Practice and Experience , vol.24 , Issue.13 , pp. 1397-1420
    • Beloglazov, A.1    Buyya, R.2
  • 15
    • 84881598452 scopus 로고    scopus 로고
    • Using swarm intelligence to optimize the energy consumption for distributed systems
    • Neil Bergmann, Yuk Ying Chung, Xiangrui Yang, Zhe Chen, Wei Chang Yeh, Xiangjian He, and Raja Jurdak. 2013. Using swarm intelligence to optimize the energy consumption for distributed systems. Modern Applied Science 7, 6 (2013), 59-66. DOI:http://dx.doi.org/10.5539/mas.v7n6p59
    • (2013) Modern Applied Science , vol.7 , Issue.6 , pp. 59-66
    • Bergmann, N.1    Ying Chung, Y.2    Yang, X.3    Chen, Z.4    Chang Yeh, W.5    He, X.6    Jurdak, R.7
  • 17
    • 85032750874 scopus 로고    scopus 로고
    • A survey of multicore processors
    • Geoffrey Blake, Ronald G. Dreslinski, and Trevor Mudge. 2009. A survey of multicore processors. IEEE Signal Processing Magazine 26, 6 (2009) 26-37. DOI:http://dx.doi.org/10.1109/MSP.2009.934110
    • (2009) IEEE Signal Processing Magazine , vol.26 , Issue.6 , pp. 26-37
    • Blake, G.1    Dreslinski, R.G.2    Mudge, T.3
  • 18
    • 4444266445 scopus 로고    scopus 로고
    • Data centers revisited: Assessment of the energy impact of retrofits and technology trends in a high density computing facility
    • Sept. 2004
    • Michele Blazek, Huimin Chong, Woonsien Loh, and Jonathan G. Koomey. 2004. Data centers revisited: Assessment of the energy impact of retrofits and technology trends in a high density computing facility. Journal of Infrastructure Systems 10, 3 (Sept. 2004) 98-104. DOI:http://dx.doi.org/10.1061/(ASCE)1076-0342
    • (2004) Journal of Infrastructure Systems , vol.10 , Issue.3 , pp. 98-104
    • Blazek, M.1    Chong, H.2    Loh, W.3    Koomey, J.G.4
  • 20
    • 84876236065 scopus 로고    scopus 로고
    • Rumsey Engineers Federal Energy Management Program Report, U.S Department of Energy, March 2011. Retrieved October, 2012 from Error! Hyperlink reference not valid
    • John Bruschi, Peter Rumsey, Robin Anliker, Larry Chu, and Stuart Gregson. Rumsey Engineers. 2011. Best Practices Guide for Energy Efficient Data Center Design. Federal Energy Management Program Report, U.S Department of Energy, March 2011. Retrieved October, 2012 from Error! Hyperlink reference not valid.
    • (2011) Best Practices Guide for Energy Efficient Data Center Design
    • Bruschi, J.1    Rumsey, P.2    Anliker, R.3    Chu, L.4    Gregson, S.5
  • 22
    • 84945932606 scopus 로고    scopus 로고
    • Cloud Computing-The IT Solution for the 21st Century. Retrieved November 4, 2012 from
    • Carbon Disclosure Project Study Report. 2011. Cloud Computing-The IT Solution for the 21st Century. Retrieved November 4, 2012 from https://www.cdproject.net/Documents/Cloud-Computing-The-IT-Solution-for-the-21st-Century.pdf.
    • (2011) Carbon Disclosure Project Study Report
  • 23
    • 34548303984 scopus 로고    scopus 로고
    • Understanding the impact of multi-core architecture in cluster computing: A case study with Intel dual-core system
    • IEEE
    • Lei Chai, Qi Gao, and Dhabaleswar K. Panda. 2007. Understanding the impact of multi-core architecture in cluster computing: A case study with Intel dual-core system. 7th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'07). IEEE, 471-478. DOI:http://dx.doi.org/10.1109/CCGRID.2007.119.
    • (2007) 7th IEEE International Symposium on Cluster Computing and the Grid (CCGRID'07) , pp. 471-478
    • Chai, L.1    Gao, Q.2    Panda, D.K.3
  • 26
    • 4944224267 scopus 로고    scopus 로고
    • The next frontier for communications networks: Power management
    • Kenneth J. Christensen, Chamara Gunaratne, Bruce Nordman, and Alan D. George. 2004. The next frontier for communications networks: Power management. Computer Communications 27, 18 (2004), 1758-1770. DOI:http://dx.doi.org/10.1016/j.comcom.2004.06.012
    • (2004) Computer Communications , vol.27 , Issue.18 , pp. 1758-1770
    • Christensen, K.J.1    Gunaratne, C.2    Nordman, B.3    George, A.D.4
  • 28
    • 84945914711 scopus 로고    scopus 로고
    • Cloudcommons (18th November, 2010). Retrieved February 20, 2013 from
    • Cloudcommons. 2012. Top 10 Apps for cloud, private cloud implementation issues. (18th November, 2010). Retrieved February 20, 2013 from http://cloudcomputing.sys con.com/node/1653265.
    • (2012) Top 10 Apps for Cloud, Private Cloud Implementation Issues
  • 30
    • 84930461158 scopus 로고    scopus 로고
    • Energy-efficient scheduling scheme for virtual machines in cloud computing
    • Oct. 2012
    • Shailesh S. Deore, Ashok N. Patil, and Ruchira Bhargava. 2012. Energy-efficient scheduling scheme for virtual machines in cloud computing. International Journal of Computer Applications 56, 10 (Oct. 2012). DOI:http://dx.doi.org/10.5120/8926-2999
    • (2012) International Journal of Computer Applications , vol.56 , pp. 10
    • Deore, S.S.1    Patil, A.N.2    Bhargava, R.3
  • 32
    • 77949577760 scopus 로고    scopus 로고
    • A survey on bio-inspired networking
    • Falko Dressler and Ozgur B. Akan. 2010. A survey on bio-inspired networking. Computer Networks 54, 6 (2010), 881-900. DOI:http://dx.doi.org/10.1016/j.comnet.2009.10.024
    • (2010) Computer Networks , vol.54 , Issue.6 , pp. 881-900
    • Dressler, F.1    Akan, O.B.2
  • 33
    • 84945892583 scopus 로고    scopus 로고
    • June Retrieved August 5, 2014 from
    • Energy Sources in India. June 2014. Retrieved August 5, 2014 from http://en.wikipedia.org/wiki/Energy-policy-of-India.
    • (2014) Energy Sources in India
  • 34
    • 84945948720 scopus 로고    scopus 로고
    • Envantage Data by World Resources Institute. Retrieved September 9, 2013 from
    • Envantage. 2013a. World Carbon Dioxide Emissions by Country. Data by World Resources Institute. Retrieved September 9, 2013 from http://www.energy-awareness-training.co.uk/world-carbon-dioxide-emissions-by-country.
    • (2013) World Carbon Dioxide Emissions by Country
  • 35
    • 84945905810 scopus 로고    scopus 로고
    • Envantage Data by World Resources Institute. (14th August, 2013). Retrieved September 13, 2013 from
    • Envantage. 2013b. New Report Reveals Warehouses Overspend on Energy by £190m. Data by World Resources Institute. (14th August, 2013). Retrieved September 13, 2013 from http://www.en-mat.com/new-report-reveals-warehouses-overspend-on-energy-by-190m.
    • (2013) New Report Reveals Warehouses Overspend on Energy by £190m
  • 36
    • 84945920203 scopus 로고    scopus 로고
    • Envantage July 2013. Retrieved September 11, 2013 from
    • Envantage. 2013c. Cloud Computing Saves Energy On Huge Scale, Says New Study. (July 2013). Retrieved September 11, 2013 from http://envantage.co.uk/cloud-computing-saves-energy-on-huge-scale-says-new-study.html.
    • (2013) Cloud Computing Saves Energy on Huge Scale, Says New Study
  • 37
    • 77957706827 scopus 로고    scopus 로고
    • Effective use of cloud computing in educational institutions
    • Tuncay Ercan. 2010. Effective use of cloud computing in educational institutions. Procedia-Social and Behavioral Sciences 2, 2 (2010), 938-942. DOI:http://dx.doi.org/10.1016/j.sbspro.2010.03.130
    • (2010) Procedia-Social and Behavioral Sciences , vol.2 , Issue.2 , pp. 938-942
    • Ercan, T.1
  • 38
    • 84945921316 scopus 로고    scopus 로고
    • Survey Report, Retrieved October 22, 2013 from
    • Exxon Mobile 2013: The Outlook for Energy: A view to 2040. Survey Report, Retrieved October 22, 2013 from http://www.exxonmobil.com/Corporate/Files/news-pub-2013eo-us.pdf.
    • Exxon Mobile 2013: The Outlook for Energy: A View to 2040
  • 39
    • 84945916963 scopus 로고    scopus 로고
    • FAWN Project
    • FAWN Project. Available at http://www.cs.cmu.edu/fawnproj/.
  • 42
    • 84876745286 scopus 로고    scopus 로고
    • Planning considerations for Multicore processor technology
    • John Fruehe. 2005. Planning considerations for Multicore processor technology. Dell Power Solutions Report. Available at http://home.deib.polimi.it/brandole/pc/14-dell-multicore.pdf.
    • (2005) Dell Power Solutions Report
    • Fruehe, J.1
  • 43
    • 79955616336 scopus 로고    scopus 로고
    • Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers. 2011
    • Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, and Rajkumar Buyya. 2011. Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers. 2011. Journal of Parallel and Distributed Computing 71, 6 (2011), 732-749. DOI:http://dx.doi.org/10.1016/j.jpdc.2010.04.004
    • (2011) Journal of Parallel and Distributed Computing , vol.71 , Issue.6 , pp. 732-749
    • Garg, S.K.1    Shin Yeo, C.2    Anandasivam, A.3    Buyya, R.4
  • 45
    • 74949093980 scopus 로고    scopus 로고
    • The cost of a cloud: Research problems in data center networks
    • Albert Greenberg, James Hamilton, David A. Maltz, and Parveen Patel. 2008. The cost of a cloud: Research problems in data center networks. ACM SIGCOMM Computer Communication Review 39, 1 (2008) 68-73. DOI:http://dx.doi.org/10.1145/1496091.1496103
    • (2008) ACM SIGCOMM Computer Communication Review , vol.39 , Issue.1 , pp. 68-73
    • Greenberg, A.1    Hamilton, J.2    Maltz, D.A.3    Patel, P.4
  • 46
    • 84858671115 scopus 로고    scopus 로고
    • Cooperative expendable micro-slice servers (CEMS): Low cost, low power servers for internet-scale services
    • James Hamilton. 2009. Cooperative expendable micro-slice servers (CEMS): Low cost, low power servers for internet-scale services. In Conference on Innovative Data Systems Research (CIDR'09). Available at http://www.mvdirona.com/jrh/TalksAndPapers/JamesHamilton-CEMS.pdf.
    • (2009) Conference on Innovative Data Systems Research (CIDR'09)
    • Hamilton, J.1
  • 48
    • 84863052349 scopus 로고    scopus 로고
    • Server consolidation algorithms with bounded migration cost and performance guarantees in cloud computing
    • Yufan Ho, Pangfeng Liu, and Jan-Jan Wu. 2011. Server consolidation algorithms with bounded migration cost and performance guarantees in cloud computing. 4th IEEE International Conference on Utility and Cloud Computing (UCC). 154-161. DOI:http://doi.ieeecomputersociety.org/10.1109/UCC.2011.30.
    • (2011) 4th IEEE International Conference on Utility and Cloud Computing (UCC) , pp. 154-161
    • Ho, Y.1    Liu, P.2    Wu, J.-J.3
  • 49
    • 84889080162 scopus 로고    scopus 로고
    • Optimizing energy consumption with task consolidation in clouds
    • Feb. 2014
    • Ching-Hsien Hsu, Kenn Slagter, Shih-Chang Chen, and Yeh-Ching Chung. 2014. Optimizing energy consumption with task consolidation in clouds. Information Sciences 258 (Feb. 2014) 452-462. DOI:http://dx.doi.org/10.1016/j.ins.2012.10.041
    • (2014) Information Sciences , vol.258 , pp. 452-462
    • Hsu, C.-H.1    Slagter, K.2    Chen, S.-C.3    Chung, Y.-C.4
  • 50
    • 0002309809 scopus 로고    scopus 로고
    • Dig more coal-The PCs are coming
    • 31 May 1999) Retrieved August 10, 2014 from
    • Peter Huber and Mark P. Mills. 1999. Dig more coal-The PCs are coming. In Forbes (31 May 1999). 70-72. Retrieved August 10, 2014 from http://www.forbes.com/forbes/1999/0531/6311070a.html.
    • (1999) Forbes , pp. 70-72
    • Huber, P.1    Mills, M.P.2
  • 52
    • 84945945398 scopus 로고    scopus 로고
    • Retrieved January 22, 2013
    • IBM About. Retrieved January 22, 2013 from http://www-935.ibm.com/services/us/en/it-services/applications-on-demand2.html.
    • IBM about
  • 53
    • 84896871630 scopus 로고    scopus 로고
    • (July 25, 2013) Retrieved August 7, 2013 from
    • International Energy Outlook 2013 (IEO2013) (July 25, 2013). Retrieved August 7, 2013 from http://www.eia.gov/forecasts/ieo/pdf/0484(2013).pdf.
    • International Energy Outlook 2013 (IEO2013)
  • 54
    • 84878887163 scopus 로고    scopus 로고
    • State-of-the-art research study for green cloud computing
    • July 2013
    • Si-Yaun Jing, Shahzad Ali, Kun She, and Yi Zhong. 2013. State-of-the-art research study for green cloud computing. The Journal of Supercomputing 65, 1 (July 2013), 445-468.
    • (2013) The Journal of Supercomputing , vol.65 , Issue.1 , pp. 445-468
    • Jing, S.-Y.1    Ali, S.2    She, K.3    Zhong, Y.4
  • 55
    • 84945896888 scopus 로고    scopus 로고
    • Overview of data centers energy efficiency evolution
    • Chap. 43, Ishfaq Ahmad, Sanjay Ranka (Eds.). CRC Press, Taylor & Francis Group
    • Lennart Johnsson. 2012. Overview of Data Centers Energy Efficiency Evolution. Handbook of Energy Aware and Green Computing, Vol. 2, Chap. 43, Ishfaq Ahmad, Sanjay Ranka (Eds.). CRC Press, Taylor & Francis Group.
    • (2012) Handbook of Energy Aware and Green Computing , vol.2
    • Johnsson, L.1
  • 56
    • 84880953347 scopus 로고    scopus 로고
    • Existing load balancing techniques in cloud computing: A systematic review
    • Nidhi Jain Kansal and Inderveer Chana. 2012. Existing load balancing techniques in cloud computing: A systematic review. Journal of Information Systems and Communication 3, 1 (2012), 87-91.
    • (2012) Journal of Information Systems and Communication , vol.3 , Issue.1 , pp. 87-91
    • Jain Kansal, N.1    Chana, I.2
  • 57
    • 84901611522 scopus 로고    scopus 로고
    • Kavli Foundation Report of the Institute for Energy Efficiency, Santa Barbara, California (February 2012). Retrieved November 13, 2013 from
    • Kavli Foundation. 2012. Scalable, Energy-Efficient Data Centres and Clouds. Report of the Institute for Energy Efficiency, Santa Barbara, California (February 2012). Retrieved November 13, 2013 from http://iee.ucsb.edu/files/Institute%20for%20Energy%20Efficiency%20Data%20Center%20Report.pdf
    • (2012) Scalable, Energy-Efficient Data Centres and Clouds
  • 59
    • 0036498230 scopus 로고    scopus 로고
    • Electricity used by office equipment and network equipment in the U.S
    • March 2002
    • Kaoru Kawamoto, Jonathan Koomey, Bruce Nordman, Richard E. Brown, Maryann Piette, Michael Ting, and Alan Meier. 2002. Electricity used by office equipment and network equipment in the U.S. Energy 27, 3 (March 2002), 255-269. DOI:http://dx.doi.org/10.1016/S0360-5442(01)00084-6
    • (2002) Energy , vol.27 , Issue.3 , pp. 255-269
    • Kawamoto, K.1    Koomey, J.2    Nordman, B.3    Brown, R.E.4    Piette, M.5    Ting, M.6    Meier, A.7
  • 61
    • 84866990331 scopus 로고    scopus 로고
    • An energy-aware multi-start local search heuristic for scheduling VMs on the OpenNebula cloud distribution
    • Yacine Kessaci, Nouredine Melab, and El-Ghazali Talbi. 2012. An energy-aware multi-start local search heuristic for scheduling VMs on the OpenNebula cloud distribution. International Conference on High Performance Computing and Simulation (HPCS). 112-118. DOI:http://dx.doi.org/10.1109/HPCSim.2012.6266899
    • (2012) International Conference on High Performance Computing and Simulation (HPCS) , pp. 112-118
    • Kessaci, Y.1    Melab, N.2    Talbi, E.-G.3
  • 63
    • 84869424350 scopus 로고    scopus 로고
    • Virtual machine scheduling for multicores considering effects of shared on-chip last level cache interference
    • Shin-gyu Kim, Hyeonsang Eom, and Heon Y. Yeom. 2012. Virtual machine scheduling for multicores considering effects of shared on-chip last level cache interference. International Green Computing Conference (IGCC). IEEE, 1-6. DOI:http://dx.doi.org/10.1109/IGCC.2012.6322250
    • (2012) International Green Computing Conference (IGCC). IEEE , pp. 1-6
    • Kim, S.-G.1    Eom, H.2    Yeom, H.Y.3
  • 64
    • 84874811393 scopus 로고    scopus 로고
    • DENS: Data center energy-efficient network-aware scheduling
    • Dzmitry Kliazovich, Pascal Bouvry, and Samee U. Khan. 2013. DENS: Data center energy-efficient network-aware scheduling. Cluster Computing 16, 1 (2013), 65-75, 2013. DOI:http://dx.doi.org/10.1007/s10586-011-0177-4
    • (2013) Cluster Computing , vol.16 , Issue.1 , pp. 65-75
    • Kliazovich, D.1    Bouvry, P.2    Khan, S.U.3
  • 66
    • 84866697288 scopus 로고    scopus 로고
    • Fundamentals of green communications and computing: Modeling and simulation
    • 2012
    • Murat Kocaoglu, Derya Malak, and Ozgur Akan. 2012. Fundamentals of green communications and computing: Modeling and simulation. Computer 45, 9 (2012), 40-46. DOI:http://dx.doi.org/10.1109/MC.2012.248
    • (2012) Computer , vol.45 , Issue.9 , pp. 40-46
    • Kocaoglu, M.1    Malak, D.2    Akan, O.3
  • 69
    • 4444308939 scopus 로고    scopus 로고
    • Network electricity use associated with wireless personal digital assistants
    • Sept. 2004
    • Jonathan Koomey, Huimin Chong, Woonsien Loh, Bruce Nordman, and Michele Blazek. 2004. Network electricity use associated with wireless personal digital assistants. The ASCE Journal of Infrastructure Systems 10, 3 (Sept. 2004), 131-137. DOI:http://dx.doi.org/10.1061/(ASCE)1076-0342(2004)10:3(131)
    • (2004) The ASCE Journal of Infrastructure Systems , vol.10 , Issue.3 , pp. 131-137
    • Koomey, J.1    Chong, H.2    Loh, W.3    Nordman, B.4    Blazek, M.5
  • 70
    • 84887592982 scopus 로고    scopus 로고
    • Growth in data center electricity use 2005 to 2010
    • (2011). Retrieved June 25, 2014 from
    • Jonathan Koomey. 2011. Growth in data center electricity use 2005 to 2010. A Report by Analytical Press, Completed at the Request of The New York Times. (2011). Retrieved June 25, 2014 from http://www.missioncriticalmagazine.com/ext/resources/MC/Home/Files/PDFs/Koomey-Data-Center.pdf.
    • (2011) A Report by Analytical Press, Completed at the Request of the New York Times
    • Koomey, J.1
  • 71
    • 60549096461 scopus 로고    scopus 로고
    • Power and performance management of virtualized computing environments via lookahead control
    • March 2009
    • Dara Kusic, Jeffrey O. Kephart, James E. Hanson, Nagarajan Kandasamy, and Guofei Jiang. 2009. Power and performance management of virtualized computing environments via lookahead control. Cluster Computing 12, 1 (March 2009), 1-15. DOI:http://dx.doi.org/10.1007/s10586-008-0070-y
    • (2009) Cluster Computing , vol.12 , Issue.1 , pp. 1-15
    • Kusic, D.1    Kephart, J.O.2    Hanson, J.E.3    Kandasamy, N.4    Jiang, G.5
  • 72
    • 0036525157 scopus 로고    scopus 로고
    • Information technology and U.S. Energy consumption energy HOG, productivity tool, or both?
    • (2003). Retrieved June 29, 2014 from
    • John A. "Skip" Laitner. 2003. Information Technology and U.S. Energy Consumption Energy Hog, Productivity Tool, or Both?. Journal of Industrial Ecology 6, 2 (2003). Retrieved June 29, 2014 from http://www.biblioite.ethz.ch/downloads/Information-Technology-Energy-Laitner.pdf.
    • (2003) Journal of Industrial Ecology , vol.6 , pp. 2
    • Laitner, J.A.1
  • 74
    • 85027919535 scopus 로고    scopus 로고
    • Energy efficient utilization of resources in Cloud computing systems
    • 2012
    • Young C. Lee and Albert Y. Zomaya. 2012. Energy efficient utilization of resources in Cloud computing systems. Journal of Supercomputing 60, 2 (2012), 268-280.
    • (2012) Journal of Supercomputing , vol.60 , Issue.2 , pp. 268-280
    • Lee, Y.C.1    Zomaya, A.Y.2
  • 75
    • 77951252807 scopus 로고    scopus 로고
    • Designing and evaluating an energy efficient Cloud
    • 2010
    • Laurent Lefèvrem and Anne-Cecile Orgerie. 2010. Designing and evaluating an energy efficient Cloud. Journal of Supercomputing 51, 3 (2010), 352-373. DOI:http://dx.doi.org/10.1007/s11227-010-0414-2
    • (2010) Journal of Supercomputing , vol.51 , Issue.3 , pp. 352-373
    • Lefèvrem, L.1    Orgerie, A.-C.2
  • 76
    • 74349115721 scopus 로고    scopus 로고
    • EnaCloud: An energy-saving application live placement approach for cloud computing environments
    • Bo Li, Jianxin Li, Jinpeng Huai, Tianyu Wo, Qin Li, and Liang Zhong. 2009. EnaCloud: An energy-saving application live placement approach for cloud computing environments. IEEE International Conference on Cloud Computing (CLOUD'09). 17-24. DOI:http://dx.doi.org/10.1109/CLOUD.2009.72
    • (2009) IEEE International Conference on Cloud Computing (CLOUD'09) , pp. 17-24
    • Li, B.1    Li, J.2    Huai, J.3    Wo, T.4    Li, Q.5    Zhong, L.6
  • 77
    • 79955980382 scopus 로고    scopus 로고
    • An energy-efficient scheduling approach based on private clouds
    • 2011
    • Jiandun Li, Junjie Peng, Zhou Lei, and Wu Zhang. 2011. An energy-efficient scheduling approach based on private clouds. Journal of Information and Computational Science 8, 4 (2011), 716-724.
    • (2011) Journal of Information and Computational Science , vol.8 , Issue.4 , pp. 716-724
    • Li, J.1    Peng, J.2    Lei, Z.3    Zhang, W.4
  • 80
    • 34347330120 scopus 로고    scopus 로고
    • Energy efficiency in data centers: A new policy frontier
    • 2007
    • Joe Loper and Sara Parr. 2007. Energy efficiency in data centers: A new policy frontier. Environmental Quality Management 16, 4 (2007), 83-97. DOI:http://dx.doi.org/10.1002/tqem.20144
    • (2007) Environmental Quality Management , vol.16 , Issue.4 , pp. 83-97
    • Loper, J.1    Parr, S.2
  • 81
    • 84869466983 scopus 로고    scopus 로고
    • A resource scheduling algorithm of cloud computing based on energy efficient optimization methods
    • Liang Luo, Wenjun Wu, Dichen Di, Fei Zhang, Yizhou Yan, and Yaokuan Mao. 2012. A resource scheduling algorithm of cloud computing based on energy efficient optimization methods. International Green Computing Conference (IGCC'12). IEEE, 1-6. DOI:http://dx.doi.org/10.1109/IGCC.2012.6322251
    • (2012) International Green Computing Conference (IGCC'12). IEEE , pp. 1-6
    • Luo, L.1    Wu, W.2    Di Fei Zhang, D.3    Yan, Y.4    Mao, Y.5
  • 82
    • 79951515545 scopus 로고    scopus 로고
    • Cloud computing-The business perspective
    • 2011
    • Sean Marston, Zhi Li, Subhajyoti Bandyopadhyay, Juheng Zhang, and Anand Ghalsasi. 2011. Cloud computing-The business perspective. Decision Support Systems 51, 1 (2011), 176-189. DOI:http://dx.doi.org/10.1016/j.dss.2010.12.006
    • (2011) Decision Support Systems , vol.51 , Issue.1 , pp. 176-189
    • Marston, S.1    Li, Z.2    Bandyopadhyay, S.3    Zhang, J.4    Ghalsasi, A.5
  • 84
    • 67049116276 scopus 로고    scopus 로고
    • A tale of clouds: Paradigm comparisons and some thoughts on research issues
    • IEEE
    • Lijun Mei, Wing Kwong Chan, and T. H. Tse. 2008. A tale of clouds: Paradigm comparisons and some thoughts on research issues. In Asia-Pacific Services Computing Conference (APSCC'08). IEEE, 464-469. DOI:http://dx.doi.org/10.1109/APSCC.2008.168
    • (2008) Asia-Pacific Services Computing Conference (APSCC'08) , pp. 464-469
    • Mei, L.1    Kwong Chan, W.2    Tse, T.H.3
  • 85
    • 77949656755 scopus 로고    scopus 로고
    • A taxonomy of biologically inspired research in computer networking
    • 2010
    • Michael Meisel, Vasileios Pappas, and Lixia Zhang. 2010. A taxonomy of biologically inspired research in computer networking. Computer Networks 54, 6 (2010), 901-916. DOI:http://dx.doi.org/10.1016/j. comnet.2009.08.022
    • (2010) Computer Networks , vol.54 , Issue.6 , pp. 901-916
    • Meisel, M.1    Pappas, V.2    Zhang, L.3
  • 86
    • 34748913622 scopus 로고    scopus 로고
    • Balancing power consumption in multiprocessor systems
    • 2006)
    • Andreas Merkel and Frank Bellosa. 2006. Balancing power consumption in multiprocessor systems. ACM SIGOPS Operating Systems Review 40, 4 (2006) 403-414. DOI:http://dx.doi.org/10.1145/1217935.1217974
    • (2006) ACM SIGOPS Operating Systems Review , vol.40 , Issue.4 , pp. 403-414
    • Merkel, A.1    Bellosa, F.2
  • 89
    • 84945963682 scopus 로고    scopus 로고
    • (May 2010). Retrieved August, 2012 from
    • Rich Miller. 2010. Cloud Computing as an Energy Saving Tool. (May 2010). Retrieved August, 2012 from http://www.datacenterknowledge.com/archives/2010/05/17/cloud-computing-as-an-energy-saving-tool/.
    • (2010) Cloud Computing As An Energy Saving Tool
    • Miller, R.1
  • 92
    • 0037409656 scopus 로고    scopus 로고
    • Data center power requirements: Measurements from silicon valley
    • June 2003
    • Jennifer Mitchell-Jackson, Jonathan Koomey, Bruce Nordman, and Michele Blazek. 2003. Data Center Power Requirements: Measurements from Silicon Valley. Energy-The International Journal 28, 8 (June 2003), 837-850. DOI:http://dx.doi.org/10.1016/S0360-5442(03)00009-4
    • (2003) Energy-The International Journal , vol.28 , Issue.8 , pp. 837-850
    • Mitchell-Jackson, J.1    Koomey, J.2    Nordman, B.3    Blazek, M.4
  • 94
    • 85076414429 scopus 로고    scopus 로고
    • Making scheduling "cool": Temperature-aware workload placement in data centers
    • 2005
    • Justin D. Moore, Jeffrey S. Chase, Parthasarathy Ranganathan, and Ratnesh K. Sharma. 2005. Making scheduling "Cool": Temperature-aware workload placement in data centers. In USENIX Annual Technical Conference, General Track, (2005), 61-75. Retrieved from https://www.usenix.org/legacy/events/usenix05/tech/general/full-papers/moore/moore.pdf.
    • (2005) USENIX Annual Technical Conference, General Track , pp. 61-75
    • Moore, J.D.1    Chase, J.S.2    Ranganathan, P.3    Sharma, R.K.4
  • 95
    • 84945978437 scopus 로고    scopus 로고
    • Featured research article
    • News by EECS Retrieved December 16, 2012 from
    • News by EECS. 2011. Featured Research Article. Green Computing: Higher Energy Efficiency from Silicon to the Cloud. Retrieved December 16, 2012 from http://www.eecs.umich.edu/eecs/about/articles/2011/GreenComputing.pdf.
    • (2011) Green Computing: Higher Energy Efficiency from Silicon to the Cloud
  • 98
    • 68649102859 scopus 로고    scopus 로고
    • Energy issues confronting the information and communications society-Need to reduce the power consumed by the communications infrastructure
    • October 2006
    • Atsushi Ogasawara, 2006. Energy issues confronting the information and communications society-Need to reduce the power consumed by the communications infrastructure. Science and Technology Trends. Quarterly Review 21 (October 2006). Retrieved from http://www.nistep.go.jp/achiev/ftx/eng/stfc/stt021e/qr21pdf/STTqr2102.pdf.
    • (2006) Science and Technology Trends. Quarterly Review , vol.21
    • Ogasawara, A.1
  • 99
    • 78449281205 scopus 로고    scopus 로고
    • Demystifying energy consumption in Grids and Clouds
    • IEEE
    • Anne-Cecile Orgerie, Laurent Lefevre, and Jean-Patrick Gelas. 2010. Demystifying energy consumption in Grids and Clouds. International Green Computing Conference. IEEE, 335-342. DOI:http://dx.doi.org/10.1109/GREENCOMP.2010.5598295
    • (2010) International Green Computing Conference , pp. 335-342
    • Orgerie, A.-C.1    Lefevre, L.2    Gelas, J.-P.3
  • 102
    • 77953094934 scopus 로고    scopus 로고
    • Temperature-aware dynamic resource provisioning in a power-optimized datacenter
    • European Design and Automation Association
    • Ehsan Pakbaznia, Mohammad Ghasemazar, and Massoud Pedram. 2010. Temperature-aware dynamic resource provisioning in a power-optimized datacenter. Proceedings of the Conference on Design, Automation and Test in Europe. European Design and Automation Association. 124-129. DOI: http://dx.doi.org/10.1109/DATE.2010.5457223
    • (2010) Proceedings of the Conference on Design, Automation and Test in Europe , pp. 124-129
    • Pakbaznia, E.1    Ghasemazar, M.2    Pedram, M.3
  • 107
    • 0036793482 scopus 로고    scopus 로고
    • The grey side of ICT
    • October, 2002
    • Andrius Plepys. 2002. The grey side of ICT. Environmental Impact Assessment Review 22, 5 (October, 2002), 509-523. DOI:http://dx.doi.org/10.1016/S0195-9255(02)00025-2
    • (2002) Environmental Impact Assessment Review , vol.22 , Issue.5 , pp. 509-523
    • Plepys, A.1
  • 109
    • 84862916721 scopus 로고    scopus 로고
    • A quantitative analysis of cooling power in container-based data centers
    • Amer Qouneh, Chao Li, and Tao Li. 2011. A quantitative analysis of cooling power in container-based data centers. In IEEE International Symposium on Workload Characterization (IISWC). 61-71. DOI:http://doi.ieeecomputersociety.org/10.1109/IISWC.2011.6114197
    • (2011) IEEE International Symposium on Workload Characterization (IISWC) , pp. 61-71
    • Qouneh, A.1    Li, C.2    Li, T.3
  • 110
    • 84867871194 scopus 로고    scopus 로고
    • Energy usage and carbon emission optimization mechanism for federated data centers
    • (2012). Springer, Berlin
    • Dang Minh Quan, Andrey Somov, and Corentin Dupont. 2012. Energy usage and carbon emission optimization mechanism for federated data centers. In Energy Efficient Data Centres. Lecture Notes in Computer Science, Vol. 7396 (2012). Springer, Berlin, 129-140. DOI:http://dx.doi.org/10.1007/978-3-642-33645-4-12
    • (2012) Energy Efficient Data Centres. Lecture Notes in Computer Science , vol.7396 , pp. 129-140
    • Minh Quan, D.1    Somov, A.2    Dupont, C.3
  • 112
    • 84857368698 scopus 로고    scopus 로고
    • T-Alloc: A practical energy efficient resource allocation algorithm for traditional data centers
    • 2012
    • Dang Minh Quan, Federico Mezza, Domenico Sannenli, and Raffaele Giafreda. 2012. T-Alloc: A practical energy efficient resource allocation algorithm for traditional data centers. Future Generation Computer Systems 18;28, 5 (2012), 791-800. DOI:http://dx.doi.org/10.1016/j.future.2011.04.020
    • (2012) Future Generation Computer Systems , vol.18 , Issue.5 , pp. 791-800
    • Minh Quan, D.1    Mezza, F.2    Sannenli, D.3    Giafreda, R.4
  • 113
    • 84945927559 scopus 로고    scopus 로고
    • Renewable Energy Outlook Retrieved on August 5, 2014 from
    • Renewable Energy Outlook. 2013. World Energy Outlook published by International Energy Association. Retrieved on August 5, 2014 from http://www.worldenergyoutlook.org/media/weowebsite/2013/WEO2013-Ch06-Renewables.pdf
    • (2013) World Energy Outlook Published by International Energy Association
  • 114
    • 84945910164 scopus 로고    scopus 로고
    • Retrieved June 25, 2014 from
    • Resource Throttling. Retrieved June 25, 2014 from http://en.wikipedia.org/wiki/Throttling-process-(computing).
    • Resource Throttling
  • 115
    • 78449273675 scopus 로고    scopus 로고
    • Energy-efficient application-aware online provisioning for virtualized clouds and data centers
    • Ivan Rodero, Juan Jaramillo, Andres Quiroz, Manish Parashar, Francesc Guim, and Stephen Poole. 2010. Energy-efficient application-aware online provisioning for virtualized clouds and data centers. International Green Computing Conference. 31-45. DOI:http://dx.doi.org/10.1109/GREENCOMP.2010.5598283
    • (2010) International Green Computing Conference. , pp. 31-45
    • Rodero, I.1    Jaramillo, J.2    Quiroz, A.3    Parashar, M.4    Guim, F.5    Poole, S.6
  • 116
    • 84866296786 scopus 로고    scopus 로고
    • Energy-efficient thermal-aware autonomic management of virtualized HPC cloud infrastructure
    • 2012
    • Ivan Rodero, Hariharasudhan Viswanathan, Eun Kyung Lee, Marc Gamell, Dario Pompili, and Manish Parashar. 2012. Energy-efficient thermal-aware autonomic management of virtualized HPC cloud infrastructure. Journal of Grid Computing 10, 3 (2012), 447-473.
    • (2012) Journal of Grid Computing , vol.10 , Issue.3 , pp. 447-473
    • Rodero, I.1    Viswanathan, H.2    Kyung Lee, E.3    Gamell, M.4    Pompili, D.5    Parashar, M.6
  • 121
    • 83755167375 scopus 로고    scopus 로고
    • Multicore processors-A necessity
    • Bryan Schauer. 2008. Multicore processors-A necessity. ProQuest Discovery Guides 1-14. http://www.csa.com/discovery guides/multicore/review.pdf
    • (2008) ProQuest Discovery Guides , pp. 1-14
    • Schauer, B.1
  • 122
    • 84880538727 scopus 로고    scopus 로고
    • Towards an energy-proportional storage system using a cluster of Wimpy Nodes
    • Daniel Schall and Theo Härder. 2013. Towards an energy-proportional storage system using a cluster of Wimpy Nodes. In BTW (2013), 311-325.
    • (2013) BTW (2013) , pp. 311-325
    • Schall, D.1    Härder, T.2
  • 123
    • 80955130224 scopus 로고    scopus 로고
    • An energy-efficient scheme for cloud resource provisioning based on CloudSim
    • IEEE
    • Yuxiang Shi, Xiaohong Jiang, and Kejiang Ye. 2011. An energy-efficient scheme for cloud resource provisioning based on CloudSim. International Conference on Cluster Computing (CLUSTER'11). IEEE, 595-599. DOI:http://dx.doi.org/10.1109/CLUSTER.2011.63
    • (2011) International Conference on Cluster Computing (CLUSTER'11) , pp. 595-599
    • Shi, Y.1    Jiang, X.2    Ye, K.3
  • 125
    • 84945891832 scopus 로고    scopus 로고
    • Union of Concerned Scientists. Retrieved August 7, 2014
    • Smart Energy Solutions: Decrease Coal Use. Union of Concerned Scientists. Retrieved August 7, 2014 from http://www.ucsusa.org/clean-energy/smart-energy-solutions/decrease-coal/.
    • Smart Energy Solutions: Decrease Coal Use
  • 129
    • 77958115309 scopus 로고    scopus 로고
    • Low-power Amdahl-balanced blades for data intensive computing
    • 2010
    • Alexander S. Szalay, Gordon C. Bell, Howie Huang, Andreas Terzis, and Alainna White. 2010. Low-power Amdahl-balanced blades for data intensive computing. ACM SIGOPS Operating Systems Review 44, 1 (2010), 71-75. DOI:http://dx.doi.org/10.1145/1740390.1740407
    • (2010) ACM SIGOPS Operating Systems Review , vol.44 , Issue.1 , pp. 71-75
    • Szalay, A.S.1    Bell, G.C.2    Huang, H.3    Terzis, A.4    White, A.5
  • 130
    • 84875492443 scopus 로고    scopus 로고
    • Energy efficient scheduling of HPC-jobs on virtualize clusters using host and VM dynamic configuration
    • 2012
    • Ibrahim Takouna, Wesam Dawoud, and Christoph Meinel. 2012. Energy efficient scheduling of HPC-jobs on virtualize clusters using host and VM dynamic configuration. ACM SIGOPS Operating Systems Review 46, 2 (2012), 19-27. DOI:http://dx.doi.org/10.1145/2331576.2331580
    • (2012) ACM SIGOPS Operating Systems Review , vol.46 , Issue.2 , pp. 19-27
    • Takouna, I.1    Dawoud, W.2    Meinel, C.3
  • 131
    • 54249125817 scopus 로고    scopus 로고
    • Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: A cyber-physical approach
    • 2008
    • Qinghui Tang, Sandeep K. S. Gupta, and Georgios Varsamopoulos. 2008. Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: A cyber-physical approach. IEEE Transactions on Parallel and Distributed Systems 19, 11 (2008), 1458-1472. DOI:http://dx.doi.org/10.1109/TPDS.2008.111
    • (2008) IEEE Transactions on Parallel and Distributed Systems , vol.19 , Issue.11 , pp. 1458-1472
    • Tang, Q.1    Gupta, S.K.S.2    Varsamopoulos, G.3
  • 135
    • 85092638207 scopus 로고    scopus 로고
    • FAWNdamentally power-efficient clusters
    • 2009
    • Vijay Vasudevan, Jason Franklin, David G. Andersen, Amar Phanishayee, Lawrence Tan, Michael Kaminsky, and Iulian Moraru. 2009. FAWNdamentally power-efficient clusters. In HotOS 9 (2009), 22-22. Available at https://www.cs.cmu.edu/dga/papers/fawn-hotos2009.pdf.
    • (2009) HotOS , vol.9 , pp. 22-22
    • Vasudevan, V.1    Franklin, J.2    Andersen, D.G.3    Phanishayee, A.4    Tan, L.5    Kaminsky, M.6    Moraru, I.7
  • 137
    • 85017313616 scopus 로고    scopus 로고
    • Cloud computing-Issues, research and implementations
    • 2008
    • Mladen A. Vouk. 2008. Cloud computing-Issues, research and implementations. Journal of Computing and Information Technology 16, 4 (2008), 235-246. DOI:http://dx.doi.org/10.1109/ITI.2008.4588381
    • (2008) Journal of Computing and Information Technology , vol.16 , Issue.4 , pp. 235-246
    • Vouk, M.A.1
  • 139
    • 84861624563 scopus 로고    scopus 로고
    • Design and implementation of an efficient load-balancing method for virtual machine cluster based on cloud service
    • Rui Wang, Wei Le, and Xuejie Zhang. 2011. Design and implementation of an efficient load-balancing method for virtual machine cluster based on cloud service. In 4th International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN'11). 321-324. DOI:http://dx.doi.org/10.1049/cp.2011.1015
    • (2011) 4th International Conference on Wireless, Mobile and Multimedia Networks (ICWMMN'11). , pp. 321-324
    • Wang Wei Le, R.1    Zhang, X.2
  • 140
    • 84863236988 scopus 로고    scopus 로고
    • Energy-efficient multi-job scheduling model for cloud computing and its genetic algorithm
    • Xiaoli Wang, Yuping Wang, and Hai Zhu. 2012. Energy-efficient multi-job scheduling model for cloud computing and its genetic algorithm. Mathematical Problems in Engineering (2012).
    • (2012) Mathematical Problems in Engineering (2012)
    • Wang, X.1    Wang, Y.2    Zhu, H.3
  • 141
    • 84863012735 scopus 로고    scopus 로고
    • Energy-aware and revenue-enhancing combinatorial scheduling in virtualized of cloud datacenter
    • 2012
    • Zhiming Wang, Kai Shuang, Long Yang, and Fangchun Yang. 2012. Energy-aware and revenue-enhancing combinatorial scheduling in virtualized of cloud datacenter. Journal of Convergence Information Technology, AICIT 7, 1 (2012), 62-70. DOI:http://dx.doi.org/10.4156/jcit.vol7.issue1.8
    • (2012) Journal of Convergence Information Technology, AICIT , vol.7 , Issue.1 , pp. 62-70
    • Wang, Z.1    Shuang, K.2    Yang, L.3    Yang, F.4
  • 142
    • 49149119622 scopus 로고    scopus 로고
    • Computing in the clouds
    • 2007
    • Aaron Weiss. 2007. Computing in the clouds. Networker 11, 4 (2007), 16-25. DOI:http://dx.doi.org/10.1145/1327512.1327513
    • (2007) Networker , vol.11 , Issue.4 , pp. 16-25
    • Weiss, A.1
  • 143
    • 77952261804 scopus 로고    scopus 로고
    • Dynamic heterogeneity and the need for multicore virtualization
    • 2009
    • Philip M. Wells, Koushik Chakraborty, and Gurindar S. Sohi. 2009. Dynamic heterogeneity and the need for multicore virtualization. ACM SIGOPS Operating Systems Review 43, 2 (2009), 5-14. DOI:http://dx.doi.org/10.1145/1531793.1531797
    • (2009) ACM SIGOPS Operating Systems Review , vol.43 , Issue.2 , pp. 5-14
    • Wells, P.M.1    Chakraborty, K.2    Sohi, G.S.3
  • 144
    • 34547309654 scopus 로고    scopus 로고
    • Energy-aware scheduling for real-time multiprocessor systems with uncertain task execution time
    • ACM
    • Changjiu Xian, Yung-Hsiang Lu, and Zhiyuan Li. 2007. Energy-aware scheduling for real-time multiprocessor systems with uncertain task execution time. In Proceedings of the 44th Annual Design Automation Conference. ACM, 664-669.
    • (2007) Proceedings of the 44th Annual Design Automation Conference , pp. 664-669
    • Xian, C.1    Lu, Y.-H.2    Li, Z.3
  • 145
    • 84866774504 scopus 로고    scopus 로고
    • Survivable virtual infrastructure mapping in virtualized data centers
    • Jielong Xu, Jian Tang, Kevin Kwiat, Weiyi Zhang, and Guoliang Xue. 2012. Survivable virtual infrastructure mapping in virtualized data centers. In IEEE 5th International Conference on Cloud Computing. 196-203. DOI:http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.100
    • (2012) IEEE 5th International Conference on Cloud Computing. , pp. 196-203
    • Xu, J.1    Tang, J.2    Kwiat, K.3    Zhang, W.4    Xue, G.5
  • 148
    • 84869490853 scopus 로고    scopus 로고
    • Energy-efficient networking: Past, present, and future
    • 2012
    • Sherali Zeadally, Samee U. Khan, and Naveen Chilamkurti. 2012. Energy-efficient networking: Past, present, and future. The Journal of Supercomputing 62, 3 (2012), 1093-1118. DOI:http://dx.doi.org/10.1007/s11227-011-0632-2
    • (2012) The Journal of Supercomputing , vol.62 , Issue.3 , pp. 1093-1118
    • Zeadally, S.1    Khan, S.U.2    Chilamkurti, N.3
  • 149
    • 84873719404 scopus 로고    scopus 로고
    • On architecture design, congestion notification, TCP incast and power consumption in data centers
    • Yan Zhang and Nirwan Ansari. 2013. On architecture design, congestion notification, TCP incast and power consumption in data centers. In Proceedings of IEEE Communications Surveys and Tutorials. 39-64. DOI:http://dx.doi.org/10.1109/SURV.2011.122211.00017
    • (2013) Proceedings of IEEE Communications Surveys and Tutorials. , pp. 39-64
    • Zhang, Y.1    Ansari, N.2
  • 150
    • 84871210971 scopus 로고    scopus 로고
    • Survey of scheduling techniques for addressing shared resources in multicore processors
    • Article 4 (Nov. 2012)
    • Sergey Zhuravlev, Juan Carlos Saez, Sergey Blagodurov, Alexandra Fedorova, and Manuel Prieto. 2012. Survey of scheduling techniques for addressing shared resources in multicore processors. ACM Computing Surveys 45, 1, Article 4 (Nov. 2012). DOI:http://dx.doi.org/10.1145/2379776.2379780
    • (2012) ACM Computing Surveys , vol.45 , pp. 1
    • Zhuravlev, S.1    Carlos Saez, J.2    Blagodurov, S.3    Fedorova, A.4    Prieto, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.