GreeDi: An energy efficient routing algorithm for big data on cloud

Ad Hoc Networks

Volumn 35, Issue , 2015, Pages 83-96

  Baker, T ^a   Al Dawsari, B ^a   Tawfik, H ^b   Reid, D ^b   Ngoko, Y ^c  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b LIVERPOOL HOPE UNIVERSITY   (United Kingdom)

^c Laboratoire DInformatique de Paris 6   (France)

Author keywords

Big data; Cloud computing; Data centre; Routing algorithm

Indexed keywords

ALGORITHMS; CALCULATIONS; CARBON; CARBON DIOXIDE; CLOUD COMPUTING; DATA HANDLING; DISTRIBUTED COMPUTER SYSTEMS; DYNAMIC PROGRAMMING; ELECTRIC NETWORK TOPOLOGY; ENERGY EFFICIENCY; ENERGY UTILIZATION; GLOBAL WARMING; INTERNET SERVICE PROVIDERS; NETWORK ARCHITECTURE; ROUTING ALGORITHMS;

DATA CENTRES; ENERGY EFFICIENT; ENERGY EFFICIENT ROUTING; EXPONENTIAL GROWTH; GEOGRAPHICAL LOCATIONS; PHYSICAL NETWORK TOPOLOGIES; SHORTEST PATH ALGORITHMS; SITUATION CALCULUS;

BIG DATA;

EID: 84960800474     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2015.06.008     Document Type: Article

References (40)

1. E. Gleeson, Computing industry set for a shocking change. http://moneyweek.com/computing-industry-set-for-a-shocking-change-43226/, online 07, 2013.
2. T.A. Luxembourg, Vat aspects of cloud computing in luxembourg, online 07, 2013.
3. K. Flinders, University of Salford makes £5.7m cloud computing investment. http://www.computerweekly.com/news/1280095022/University-of-Salford-makes-57m-cloud-computing-investment, online 07, 2013.
4. L. Zyga, How energy-efficient is cloud computing?. http://phys.org/news/2010-10-energy-efficient-cloud.html, online 07, 2013.
5. L.C. Yee, Google to invest $300 million in hong kong data center. http://www.reuters.com/article/2011/12/08/us-google-hongkong-idUSTRE7B70BU20111208, online 07,2013.
6. P. Seybold, Cloud computing/mobile computing/network bandwidth, green data centers and telehousing. http://outsideinnovation.blogs.com/pseybold/2010/09/cloud-computingmobile-computingnetwork-bandwidth-green-data-centers-and-telehousing.html, online 07,2013.
7. J.G. Olivier, G. Janssens-Maenhout, J.A. Peters, and J. Wilson Background Study: Long-term Trend in Global CO2 Emissions, PBL Netherlands Environmental Assessment Agency and JRC European Commission 2011
8. P. Baer, Exploring the 2020 global emissions mitigation gap. http://www.ippr.org/uploadedFiles/globalclimatenetwork/Exploring-the-Mitigation-Gap%5b1%5d.pdf, 2008.
9. S. Kuma, R. Buyya, Green Cloud Computing and Environmental Sustainability, John Wiley and Sons, Ltd., pp. 315-339. 10.1002/9781118305393.ch16
10. X. Wang, Jinhua Zhu, and Chunming Qiao A comprehensive minimum energy routing scheme for wireless ad hoc networks Proceedings of the 23rd Conference of the IEEE Communications Society on Computer Communications, IEEE INFOCOM 2004 2004 IEEE
11. X.W. Jinhua Zhu Model and protocol for energy-efficient routing over mobile ad hoc networks IEEE Trans. Mob. Comput. 10 11 2011 1546 1557
12. A.M. Suman Banerjee Minimum energy paths for reliable communication in multi-hop wireless networks Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc Networking & Computing: MobiHoc'12 2002 ACM New York, NY, USA 146 156
13. N.B. Keith Scott Routing and channel assignment for low power transmission in pcs Proceedings of the 5th IEEE International Conference on Universal Personal Communications vol. 2 1996 IEEE Xplore
14. T.H.M. Volkan Rodoplu Minimum energy mobile wireless networks IEEE J. Sel. Areas Commun. 17 8 1999 1333 1344
15. L. Zhang, C. Wu, Z. Li, C. Guo, M. Chen, and F.C.M. Lau Moving big data to the cloud Proceedings of the IEEE Conference on Computer Communications, IEEE INFOCOM 2013 405 409
16. L. Zhang, C. Wu, Z. Li, C. Guo, M. Chen, and F.C.M. Lau Moving big data to the cloud: an online cost-minimizing approach IEEE J. Sel. Areas Commun 31 2013 2710 2721
17. M. Gattulli, M. Tornatore, R. Fiandra, and A. Pattavina Low-carbon routing algorithms for cloud computing services in IP-over-WDM networks Proceedings of the IEEE International Conference on Communication (ICC) 2012 2999 3003
18. H. Kantarci, and B. Mouftah Optimal reconfiguration of the cloud network for maximum energy savings Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2012 835 840
19. L. Liu, H. Wang, X. Liu, X. Jin, W.B. He, Q.B. Wang, and Y. Chen Greencloud: a new architecture for green data center Proceedings of the 6th International Conference Industry Session on Autonomic Computing and Communications Industry Session, ICAC-INDST'09 2009 ACM New York, NY, USA 29 38 10.1145/1555312.1555319
20. J. Conejero, O.F. Rana, P. Burnap, J. Morgan, C. Carrion, and B. Caminero Characterising the power-performance trade off in hadoop clouds: a social media analysis case study Proceedings of the 3rd International Conference on Cloud Computing and Services Science 2013 1 12 (Volume to appear).
21. H.N. Van, F.D. Tran, and J.-M. Menaud Performance and power management for cloud infrastructures IEEE International Conference on Cloud Computing, CLOUD 2010 IEEE Miami, FL, USA 329 336
22. G. Laszewski, and L. Wang Greenit service level agreements P. Wieder, R. Yahyapour, W. Ziegler, Grids and Service-Oriented Architectures for Service Level Agreements 2010 Springer US 77 88 10.1007/978-1-4419-7320-7-8
23. F. Satoh, H. Yanagisawa, H. Takahashi, and T. Kushida Total energy management system for cloud computing IEEE International Conference on Cloud Engineering (IC2E) 2013 233 240
24. C.-C. Lin, P. Liu, and J.-J. Wu Energy-efficient virtual machine provision algorithms for cloud systems IEEE 4th International Conference on Utility and Cloud Computing, UCC 2011, Melbourne, Australia, December 5-8, 2011 2011 IEEE Computer Society 81 88
25. H. Al-Daoud, I. Al-Azzoni, and D.G. Down Power-aware linear programming based scheduling for heterogeneous computer clusters Future Gener. Comp. Syst. 28 5 2012 745 754
26. T. Baker, O.F. Rana, R. Calinescu, R. Tolosana-Calasanz, and J.A.B. nares Towards autonomic cloud services engineering via intention workflow model Proceedings of the 10th International Conference on Economic of Grids, Clouds, Systems and Services vol. 8193 2013 212 227
27. Kaoru Kawamoto, JonathanG. Koomey, Bruce Nordman, RichardE. Brown, MaryAnn Piette, Michael Ting, and AlanK. Meier Electricity used by office equipment and network equipment in the US: detailed report and appendices Proceedings of the ACEEE Summer Study Conference on Energy Efficiency in Buildings, LBNL-45917 2000
28. C. Barthel, S. Lechtenb÷hmer, and S. Thomas GHG emission trends of the internet in Germany Proceedings of the International Climate Policy and IT Sector Joint Workshop with IGES and the Wuppertal Institute 2001
29. T. Volker Assessing the Resource Intensity of the Internet Infrastructure: Data Analysis for a Material-flow Oriented Approach and First Results on Electricity Consumption (M. Sc. thesis at the Lund University) 2001 IIIEE Sweden
30. S. Lanzisera, B. Nordman, and R. Brown Data network equipment energy use and savings potential in buildings ACEEE Summer Study on Energy Efficiency in Buildings 2010
31. J. Baliga, R.W.A. Ayre, K. Hinton, W.V. Sorin, and R.S. Tucker Energy consumption in optical IP networks J. Lightw. Technol. 27 13 2009 2391 2403
32. D.C. Kilper, G. Atkinson, S.K. Korotky, G. Goyal, P. Vetter, D. Suvakovic, and O. Blume Power trends in communication networks IEEE J. Sel. Top. Quantum Electron. 17 2 2010 275 284
33. Kerry Hinton, Jayant Baliga, Michael Feng, Robert Ayre, and RodneyS. Tucker IEEE Netw. 25 2 2011 6 12
34. J. Baliga, R. Ayre, K. Hinton, and R. Tucker Green cloud computing: Balancing energy in processing, storage, and transport Proc. IEEE 99 1 2011 149 167
35. H. Levesque, F. Pirri, and R. Reiter Foundations for the situation calculus Linkoping Electron. Artic. Comput. Inf. Sci. 3 18 1998
36. R. Cohen, S. Havlin, and D. ben Avraham Efficient immunization strategies for computer networks and populations Phys. Rev. Lett. 91 24 2003 5
37. Thar Baker, Yanik Ngoko, Rafael Tolosana-Calasanz, OmerF. Rana, and Martin Randles Energy efficient cloud computing environment via autonomic meta-director framework Proceedings of the Sixth International Conference on Developments in eSystems Engineering (DeSE'13) 2013 IEEE 198 203
38. Spring-nextel applied research group ipmon project. http://ipmon.sprint.com, January 2005 (cited 10.12.14).
39. L. Ceuppens Planning for energy efficiencyvnetworking in numbers Optical Fiber Communication Workshop Energy Networks 2009
40. C. Panarello, A. Lombardo, G. Schembra, L. Chiaraviglio, and M. Mellia Energy saving and network performance: a trade-off approach Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, e-Energy'10 2010 ACM New York, NY, USA 41 50