State-of-the-art research study for green cloud computing

Journal of Supercomputing

Volumn 65, Issue 1, 2013, Pages 445-468

  Jing, Si Yuan ^a   Ali, Shahzad ^a   She, Kun ^a   Zhong, Yi ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Cloud computing; Data center; Energy efficiency; IaaS; Virtualization

Indexed keywords

COMPUTING PARADIGM; DATA CENTERS; DESIGN CHALLENGES; IAAS; SAAS (SOFTWARE AS A SERVICE); SOFTWARE FRAMEWORKS; STATE-OF-THE-ART TECHNIQUES; VIRTUALIZATIONS;

CLOUD COMPUTING; COMPUTER SYSTEMS; ENERGY EFFICIENCY; ENERGY MANAGEMENT; QUALITY OF SERVICE; RESEARCH; UBIQUITOUS COMPUTING;

INFRASTRUCTURE AS A SERVICE (IAAS);

EID: 84878887163     PISSN: 09208542     EISSN: 15730484     Source Type: Journal    
DOI: 10.1007/s11227-011-0722-1     Document Type: Conference Paper

References (88)

1. Buyya R, Yeo CS, Venugopa S (2008) Market-oriented cloud computing: vision, hype, and reality for delivering it services as computing utilities. In: 10th IEEE international conference on high performance computing and communications (HPCC'08), Dalian, China, 2008, pp 5-13
2. Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Internet Serv Appl 1(1):7-18
3. Hamilton J (2009) Cooperative expendable micro-slice servers (CEMS): low cost, low power servers for internet-scale services. In: Proceedings of CIDR'09, California, USA
4. NIST Definition of Cloud Computing v15. http://csrc.nist.gov/groups/SNS/ cloud-computing/cloud-def-v15.doc
5. Opennebula. http://www.opennebula.org/
6. Eucalyptus. www.eucalyptus.com
7. Markoff J, Hansell S (2006) Hiding in plain sight, google seeks more power. New York Times, 14 June 2006
8. Ministry of economy, trade and industry, government of Japan (2008) Establishment of the Japan Data Center Council, Press Release
9. The Green Grid Consortium. http://www.thegreengrid.org
10. Berl A, Gelenbe E, Di Girolamo M et al (2009) Energy-efficient cloud computing. Comput J 53(7):1045-1051
11. Sweeney J, Bradfield J (2008) Reducing data center's power and energy consumption: saving money and go 'Green'. White paper
12. Sawyer R (2004) Calculating total power requirements for data centers. White paper
13. Intel Corporation (2009) Why the Intel® Xeon® processor 5500 series is the ideal foundation for cloud computing. White paper
14. Farre T, Bulkeley (2009) Energy-efficient servers: a bright spot in the cloud. AMD online
15. ACPI Standard. http://www.acpi.info/
16. IEEE 802.3 Standard (2006) http://standards.ieee.org/getieee802/802.3. html
17. Jejurikar R, Pereira C, Gupta RK (2004) Leakage aware dynamic voltage scaling for real-time embedded systems. In: Proceedings of the 41st design automation conference (DAC'04), San Diego, USA, pp 275-280
18. Benini L, Bogliolo A, Micheli GD (2000) A survey of design techniques for system-level dynamic power management. IEEE Trans Very Large Scale Integr (VLSI) 8(3):299-316
19. Yao F, Demers A, Shenker S (1995) A scheduling model for reduced CPU energy. In: Proceedings of the 36th annual symposium on foundations of computer science (FOCS'95), Milwaukee, Wisconsin, pp 374-382
20. Scordino C, Lipari G (2006) A resource reservation algorithm for power-aware scheduling of periodic and aperiodic real-time tasks. IEEE Trans Comput 55(12):1509-1522
21. Qiu M, Sha EH-M (2009) Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems. ACM Trans Des Autom Electron Syst 14(2):1-30
22. Cheng H, Goddard S (2006) Online energy-aware i/o device scheduling for hard real-time systems. In: Proceedings of design, automation and test in Europe (DATE'06), Munich, Germany, pp 1055-1060
23. Aydin H, Devadas V, Zhu D (2006) System-level energy management for periodic real-time tasks. In: Proceedings of the 27th IEEE real-time systems symposium (RTSS'06), Rio de Janeiro, pp 313-322
24. Yan L, Luo J, Jha NK (2005) Joint dynamic voltage scaling and adaptive body biasing for heterogeneous distributed real-time embedded systems. IEEE Trans Comput-Aided Des Integr Circuits Syst 24(7):1030-1041
25. Qiu M, Yang LT, Shao Z et al (2010) Dynamic and leakage energy minimization with soft real-time loop scheduling and voltage assignment. IEEE Trans Very Large Scale Integr (VLSI) Syst 18(3):501-504
26. Aydin H, Qi Y (2003) Energy-aware partitioning for multiprocessor real-time systems. In: Proceedings of the 17th international parallel and distributed processing symposium, 113b
27. Baruah SK (2004) Optimal utilization bounds for the fixed-priority scheduling of periodic task systems on identical multiprocessors. IEEE Trans Comput 53(6):781-784
28. Zhu D, Melhem R, Childers BR (2003) Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real time systems. IEEE Trans Parallel Distrib Syst 14(7):686-699
29. Chen JJ, Hsu HR, Chuang KH et al (2004) Multiprocessor energy-efficient scheduling with task migration considerations. In: 16th EuroMicro conference on real-time systems (ECRTS'04), pp 101-108
30. Chen JJ, Hsu HR, Kuo TW (2006) Leakage-aware energy-efficient scheduling of real-time tasks in multiprocessor systems. In: 12th IEEE real-time and embedded technology and applications symposium (RTAS'06), pp 408-417
31. Barroso LA, Holzle U (2007) The case for energy-proportional computing. Computer 41(12):33-37
32. Ranganathan P, Leech P, Irwin D et al (2006) Ensemble-level power management for dense blade. In: Proceedings of the 33rd annual international symposium on computer architecture (ISCA'06), Boston, USA, pp 66-77
33. Elnozahy EN, Kistler M, Rajamony R (2002) Energy-efficient server clusters. In: Proceedings of the 2nd workshop on power-aware computing systems, pp 179-197
34. Pinheiro E, Bianchini R, Carrera EV et al (2001) Load balancing and unbalancing for power and performance in cluster-based systems. In: Proceedings of the international workshop on compilers and operating systems for low power
35. Chase JS, Anderson DC, Thakar PN et al (2001) Managing energy and server resources in hosting centers. In: Proceedings of the 18th ACM symposium on operating systems principles (SOSP'01), Banff, Canada, pp 103-116
36. Heath T, Diniz B, Carrera EV et al (2005) Energy conservation in heterogeneous server clusters. In: Proceedings of the 10th ACM SIGPLAN symposium on principles and practice of parallel programming (PPoPP'05), Chicago, USA, pp 186-195
37. Barham P, Dragovic B, Fraser K et al (2003) Xen and the art of virtualization. In: Proceedings of the 19th ACM symposium on operating systems principles (SOSP'03), Bolton Landing, USA, pp 164-177
38. VMware. http://www.vmware.com/
39. Microsoft Hyper-V. http://www.microsoft.com/hyper-v-server/en/us/default. aspx
40. Somani G, Chaudhary S (2009) Application performance isolation in virtualization. In: IEEE international conference on cloud computing (Cloud'09), Bangalore, pp 41-48
41. Stoess J, Lang C, Bellosa F (2007) Energy management for hypervisor-based virtual machines. In: Proceedings of the USENIX annual technical conference (ATC'07)
42. Kim KH, Beloglazov A, Buyya R (2009) Power-aware provisioning of cloud resources for real-time services. In: Proceedings of the 7th international workshop on middleware for grids, clouds and e-science (MGC'09), Champaign, USA
43. Kusic D, Kephart JO, Hanson JE et al (2009) Power and performance management of virtualized computing environments via lookahead control. Clust Comput 12(1):1-15
44. Laszewski G, Wang L, Younge AJ et al (2009) Power-aware scheduling of virtual machines in dvfs-enabled clusters. In: IEEE international conference on cluster computing and workshop, New Orleans, LA, pp 1-10
45. Younge AJ, Laszewski G, Wang L et al (2010) Efficient resource management for cloud computing environments. In: International conference on green computing, Chicago, USA, pp 357-364
46. Rodero I, Jaramillo J, Quiroz A et al (2010) Energy-efficient application-aware online provisioning for virtualized clouds and data centers. In: International conference on green computing, Chicago, USA, pp 31-45
47. Meisner D, Gold BT, Wenisch TF (2009) PowerNap: eliminating server idle power. In: Proceedings of the 14th international conference on architectural support for programming languages and operating systems (ASPLOS'09), Washington, USA, pp 205-216
48. Lee YC, Zomaya AY (2010) Energy efficient utilization of resources in cloud computing systems. J Supercomput. doi: 10.1007/s11227-010-0421-3
49. Fan X, Weber WD, Barroso LA (2007) Power provisioning for a warehouse-sized computer. In: Proceedings of the 34th annual international symposium on computer architecture (ISCA'), NY, USA, pp 13-23
50. Colarelli D, Grunwald D (2002) Massive arrays of idle disks for storage archives. In: Proceedings of the ACM/IEEE conference on supercomputing (SC'02), Baltimore, USA, pp 1-11
51. Son SW, Chen G, Kandemir M (2005) Disk layout optimization for reducing energy consumption. In: Proceedings of the 19th annual international conference on supercomputing (ICS'05), Cambridge, USA, pp 274-283
52. Narayanan D, Donnelly A, Rowstron A (2008) Write off-loading: practical power management for enterprise storage. ACM Trans Storage 4(3):1-23
53. Carrera EV, Pinheiro E, Bianchini R (2003) Conserving disk energy in network servers. In: Proceedings of the 17th annual international conference on supercomputing (ICS'03), San Francisco, USA, pp 86-97
54. Pinheiro E, Bianchini R (2004) Energy conservation techniques for disk array-based servers. In: Proceedings of the 18th annual conference on supercomputing (ICS'04), Saint-Malo, France, pp 68-78
55. Pinheiro E, Bianchini R, Dubnicki C (2006) Exploiting redundancy to conserve energy in storage systems. In: Proceedings of ACM SIGMETRIC'06, Saint Malo, France, pp 15-26
56. Huang H, Hung W, Shin KG (2005) FS2: dynamic data replication in free disk space for improving disk performance and energy consumption. In: Proceedings of the 20th ACM symposium on operating systems principles (SOSP'05), Brighton, UK, pp 263-276
57. Weddle C, Oldham M, Qian J et al (2007) PARAID: The gear-shifting power-aware RAID. ACM Trans Storage 3(13):245-260
58. Chou J, Kim J, Rotem D (2011) Energy-aware scheduling in disk storage systems. In: 31st international conference on distributed computing systems (ICDCS'11), pp 423-433
59. Kim J, Rotem D (2010) Using replication for energy conservation in RAID systems. In: Parallel and distributed processing techniques and applications conference (PDPTA'10)
60. Liao XL, Bai S, Wang YP et al (2011) ISRA-based grouping: a disk reorganization approach for disk energy conservation and disk performance enhancement. IEEE Trans Comput 60(2):292-304
61. Gurumurthi S, Sivasubramaniam A, Kandemir M et al (2003) DRPM: dynamic speed control for power management in server class disk. In: Proceedings of the 30th annual international symposium on computer architecture (ISCA'03), San Diego, USA, pp 169-181
62. Zhu Q, Shankar A, Zhou Y (2004) PB-LRU: a self tuning power aware storage cache replacement algorithm for conserving disk energy. In: Proceedings of the 18th annual international conference on supercomputing (ICS'04), Saint Malo, France, pp 79-88
63. Zhu Q, David FM, Devaraj CF et al (2004) Reducing energy consumption of disk storage using power-aware cache management. In: 10th international symposium on high performance computer architecture (HPCA'04)
64. Zhu Q, Chen Z, Tan L et al (2005) Hibernator: helping disk arrays sleep through the winter. In: Proceedings of the 20th ACM symposium on operating systems principles (SOSP'05), Brighton, UK, pp 177-190
65. Zhu Q, Zhou Y (2005) Power-aware storage cache management. IEEE Trans Comput 54(5):587-602
66. EMC Symmetrix 3000 and 5000 Enterprise Storage Systems product description guide. http://www.emc.com/products/productpdfs/pdg/symm-3-5-pdg.pdf
67. Ganesh L, Weatherspoon H, Balakrishnan M et al (2007) Optimizing power consumption in large scale storage systems. In: Proceedings of the 11th USENIX workshop on hot topics in operating systems (HotOS'07), CA, USA
68. Brunschwiler T, Smith B, Ruetsche E et al (2009) Toward zero-emission data centers through direct reuse of thermal energy. IBM J Res Dev 53(3):11.1-11.13
69. Hamann HF, Kessel TG, Iyengar M et al (2009) Uncovering energy efficiency opportunities in data centers. IBM J Res Dev 53(3):10.1-10.12
70. Ahmad F, Vijaykumar TN (2010) Joint optimization of idle and cooling power in data centers while maintaining response time. In: Proceedings of the 15th international conference on architectural support for programming languages and operating systems (ASPLOS'10), Pittsburgh, USA, pp 243-256
71. Chen Y, Gmach D, Hyser C et al (2010) Integrated management of application performance, power and cooling in data centers. In: Network operations and management symposium (NOMS'10), Osaka, Japan, pp 615-622
72. Pakbaznia E, Ghasemazar M, Pedram M (2010) Temperature-aware dynamic resource provisioning in a power-optimized datacenter. In: Proceedings of the conference on design, automation and test in Europe (DATE'10), Dresden, Germany, pp 124-129
73. Tang Q, Kumar S, Gupta S (2008) Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data center: a cyber-physical approach. IEEE Trans Parallel Distrib Syst 19(11):1458-1472
74. Moore J, Chase J, Ranganathan P (2006) Weatherman: automated, online, and predictive thermal mapping and management for data center. In: International conference on autonomic computing (ICAC'06), pp 155-164
75. Moore J, Chase J, Ranganathan P (2005) Making scheduling cool: temperature-aware workload placement in data centers. In: Proceedings of the annual conference on USENIX annual technical conference (ATC'05)
76. Kim MG, Choi JY, Kang M et al (2008) Adaptive power saving mechanism considering the request period of each initiation of awakening in the IEEE 802.16e system. IEEE Commun Lett 12(2):106-108
77. He Y, Yuan R (2009) A novel scheduled power saving mechanism for 802.11 wireless LANs. IEEE Trans Mob Comput 18(10):1368-1383
78. Kliazovich D, Bouvry P, Khan SU (2010) DENS: data center energy-efficient network-aware scheduling. In: ACM/IEEE international conference on green computing and communications, Hangzhou, China, pp 69-75
79. Kliazovich D, Bouvry P, Khan SU (2011) GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. J Supercomput. doi: 10.1007/s11227-010-0504-1
80. Mahadevan P, Sharma P, Banerjee S et al (2009) Energy aware network operations. In: Proceedings of IEEE INFOCOM'09, Rio de Janeiro, pp 1-6
81. Gunaratne C, Christensen K, Nordman B et al (2008) Reducing the energy consumption of Ethernet with adaptive link rate (ALR). IEEE Trans Comput 57(4):448-461
82. Chabarek J, Sommers J, Barford P et al (2008) Power awareness in network design and routing. In: Proceedings of IEEE INFOCOM'08, Phoenix, AZ, pp 457-465
83. Gupta M, Singh S (2003) Greening of the internet. In: Proceedings of ACM SIGCOMM'03, Karlsruhe, Germany, pp 19-26
84. Nedevschi S, Popa L, Iannaccone G et al (2008) Reducing network energy consumption via rate-adaptation and sleeping. In: Proceedings of the 7th USENIX conference on networked systems design and implementation (NSDI'08), San Francisco, USA
85. Heller B, Seetharaman S, Mahadevan P et al (2010) ElasticTree: saving energy in data center networks. In: Proceedings of the 7th USENIX conference on networked systems design and implementation (NSDI'10), Boston, USA
86. Gupta M, Singh S (2007) Using low-power modes for energy conservation in Ethernet LANs. In: Proceedings of IEEE INFOCOM'07, Anchorage, AK, pp 2451-2455
87. Gupta M, Singh S (2007) Dynamic Ethernet link shutdown for energy conservation on Ethernet links. In: IEEE international conference on communications (ICC'07), Glasgow, pp 6156-6161
88. Gunaratne C, Christensen K, Nordman B (2005) Managing energy consumption costs in desktop PCs and LAN switches with proxying, split TCP connections, and scaling of link speed. Int J Netw Manag 15(5):297-310