Reducing electricity cost through virtual machine placement in high performance computing clouds

Proceedings of 2011 SC - International Conference for High Performance Computing, Networking, Storage and Analysis

Volumn , Issue , 2011, Pages

  Le, Kien ^a   Zhang, Jingru ^a   Meng, Jiandong ^a   Bianchini, Ricardo ^a   Jaluria, Yogesh ^a   Nguyen, Thu D ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Computing cloud; Cooling; Energy; Multi data center

Indexed keywords

CLOUD SERVICES; COOLING STRATEGY; COST SAVING; DATA CENTERS; DISTRIBUTED DATA; DYNAMIC LOAD DISTRIBUTION; ELECTRICITY COSTS; ENERGY; EVALUATION STUDY; HIGH PERFORMANCE COMPUTING; LOAD MIGRATION; MULTI-DATA-CENTER; PARAMETER SETTING; TRANSIENT COOLING; VIRTUAL MACHINES;

CLOUD COMPUTING; COMPUTER SOFTWARE SELECTION AND EVALUATION; COOLING; COSTS; DYNAMIC LOADS; ELECTRICITY; POWER QUALITY;

COST BENEFIT ANALYSIS;

EID: 83155184560     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063384.2063413     Document Type: Conference Paper

References (52)

1. Energy Information Administration. Average Retail Price of Electricity to Ultimate Customers by End-Use Sector, by State. http://www.eia.doe.gov/cneaf/ electricity/epm/table5-6-b.html.
2. Amazon. High Performance Computing Using Amazon EC2. http://aws.amazon. com/ec2/hpc-applications.
3. ANSYS. ANSYS FLUENT. http://www.ansys.com/Products/Simulation+Technology/ Fluid+Dynamics/ANSYS+FLUENT.
4. ASHRAE. Environmental Guidelines for Datacom Equipment, 2008. American Society of Heating, Refrigeration, and Air-Conditioning Engineers.
5. L.A. Barroso and U. Hölzle. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Synthesis Lectures on Computer Architecture, 4(1), 2009.
6. R. Bradford et al. Live Wide-Area Migration of Virtual Machines Including Local Persistent State. In Proceedings of the 3rd International Conference on Virtual Execution Environments, 2007.
7. R. Buyya et al. Scheduling Parameter Sweep Applications on Global Grids: A Deadline and Budget Constrained Cost-Time Optimization Algorithm. Software Practice and Experience, 35(5), 2005.
8. J. Chase et al. Managing Energy and Server Resources in Hosting Centers. In Proceedings of the 8th Symposium on Operating Systems Principles, 2001.
9. G. Chen et al. Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services. In Proceedings of the 5th Symposium on Networked Systems Design and Implementation, 2008.
10. Y. Chen et al. Managing Server Energy and Operational Costs in Hosting Centers. In Proceedings of the International Conference on Measurement and Modeling of Computer Systems, 2005.
11. J. Choi et al. Modeling and Managing Thermal Profiles of Rack-mounted Servers with Thermo Stat. In Proceedings of the 13th International Symposium on High Performance Computer Architecture, 2007.
12. SARA Computing and Networking Services. High Performance Compute Cloud. http://www.sara.nl/index-eng.html.
13. K. Coughlin et al. The Tariff Analysis Project: A Database and Analysis Platform for Electricity Tariffs, 2006. http://repositories.cdlib.org/lbnl/LBNL- 55680.
14. Dror Feitelson. Parallel Workloads Archive. http://www.cs.huji.ac.il/ labs/parallel/workload/.
15. Duke Energy. North Carolina Electric Rates. http://www.duke-energy.com/ north-carolina.asp.
16. E. N. Elnozahy, M. Kistler, and R. Rajamony. Energy Conservation Policies for Web Servers. In Proceedings of the 4th Symposium on Internet Technologies and Systems, 2003.
17. A.P. Ferreira, D. Mosse, and J.C. Oh. Thermal Faults Modeling using a RC model with an Application to Web Farms. In Proceedings of the 19th Euromicro Conference on Real-Time Systems, 2007.
18. S.K. Garg, R. Buyya, and HJ Siegel. Scheduling Parallel Applications on Utility Grids: Time and Cost Trade-off Management. In Proceedings of the 32nd Australasian Conference on Computer Science, 2009.
19. R. Ge, X. Feng, and K.W. Cameron. Performance-Constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters. In Proceedings of the 17th International Conference on High Performance Computing and Communications, 2005.
20. Georgia Power. Business Pricing - Georgia Power. http://www.georgiapower. com/.
21. I. Goiri et al. Energy-aware Scheduling in Virtualized Datacenters. In Proceedings of the International Conference on Cluster Computing, 2010.
22. I. Goiri, J. Guitart, and J. Torres. Characterizing Cloud Federation for Enhancing Providers'Profit. In Proceedings of the 3rd International Conference on Cloud Computing, 2010.
23. S. Govindan, A. Sivasubramaniam, and B. Urgaonkar. Benefits and Limitations of Tapping into Stored Energy for Datacenters. In Proceedings of the International Symposium on Computer Architecture, 2011.
24. Eric Harney et al. The Efficacy of Live Virtual Machine Migrations Over the Internet. In Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, 2007.
25. T. Heath et al. Energy Conservation in Heterogeneous Server Clusters. In Proceedings of the 10th Symposium on Principles and Practice of Parallel Programming, 2005.
26. T. Heath et al. Mercury and Freon: Temperature Emulation and Management for Server Systems. In Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems, 2006.
27. F. Hermenier et al. Entropy: A Consolidation Manager for Clusters. In Proceedings of the 5th International Conference on Virtual Execution Environments, 2009.
28. Data Center Knowledge. Google: Raise Your Data Center Temperature. http://www.datacenterknowledge.com/archives/2008/10/14/google-raise-your-data- center-temperature/.
29. K. Kurowski et al. Dynamic Grid Scheduling with Job Migration and Rescheduling in the GridLab Resource Management System. Scientific Programming, 12(4), 2004.
30. K. Le et al. A Cost-Effective Distributed File Service with QoS Guarantees. In Proceedings of the International Middleware Conference, 2007.
31. K. Le et al. Cost- And Energy-Aware Load Distribution Across Data Centers. In Proceedings of the Workshop on Power Aware Computing and Systems, 2009.
32. K. Le et al. Capping the Brown Energy Consumption of Internet Services at Low Cost. In Proceedings of the International Conference on Green Computing, 2010.
33. M.Y. Lim et al. Adaptive, Transparent Frequency and Voltage Scaling of Communication Phases in MPI Programs. In Proceedings of the 18th International Conference on High Performance Computing and Communications, 2006.
34. Z. Liu et al. Greening Geographical Load Balancing. In Proceedings of the International Conference on Measurement and Modeling of Computer Systems, 2011.
35. R.S. Montero, E. Huedo, and I.M. Llorente. Grid Resource Selection for Opportunistic Job Migration. Proceedings of Euro-Par International Conference on Parallel and Distributed Computing, 2004.
36. J. Moore et al. Making Scheduling Cool: Temperature-Aware Workload Placement in Data Centers. In Proceedings of the Annual USENIX Technical Conference, 2005.
37. J. Moore et al. Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers. In Proceedings of the International Conference on Autonomic Computing, 2006.
38. A.W. Mu'alem and D.G. Feitelson. Utilization, Predictability, Workloads, and User Runtime Estimates in Scheduling the IBM SP2 with Backfilling. IEEE Transactions on Parallel and Distributed Systems, 12, 2001.
39. T. Mukherjee et al. Software Architecture for Dynamic Thermal Management in Datacenters. In Proceedings of the 2nd International Conference on Communication Systems Software and Middleware, 2007.
40. NREL. Best Practices Guide for Energy-Efficient Data Center Design, 2010. National Renewable Energy Laboratory (NREL), U.S. Department of Energy.
41. Department of Energy and Climate Change. Quarterly Energy Prices. http://stats.berr.gov.uk/uksa/energy/sa20090625b.htm.
42. Pacific Gas and Electric. ELECTRIC SCHEDULES. http://www.pge.com/.
43. E. Pinheiro et al. Dynamic Cluster Reconfiguration for Power and Performance. Compilers and Operating Systems for Low Power, 2003. Earlier version published in COLP'01, September 2001.
44. A. Qureshi et al. Cutting the Electric Bill for Internet-Scale Systems. In Proceedings of SIGCOMM, 2009.
45. L. Ramos and R. Bianchini. C-Oracle: Predictive Thermal Management for Data Centers. In Proceedings the 14th International Symposium on High Performance Computer Architecture, 2008.
46. B. Rountree et al. Adagio: Making DVS Practical for Complex HPC Applications. In Proceedings of the 23rd International Conference on Supercomputing, 2009.
47. E. Samadiani et al. Adaptable Robust Design of Multi-Scale Convective Systems Applied to Energy Efficient Data Centers. Numerical Heat Transfer, 57(2), 2010.
48. R. Sharma et al. Balance of Power: Dynamic Thermal Management for Internet Data Centers. In Technical Report HPL-2003-5, HP Labs, 2003.
49. D. Tsafrir, Y. Etsion, and D. Feitelson. Modeling User Runtime Estimates. In Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing. Springer-Verlag, 2005.
50. Weather Underground. Weather Underground. http://www.wunderground.com/.
51. A. Weissel and F. Bellosa. Dynamic Thermal Management in Distributed Systems. In Proceedings of the 1st Workshop on Temperature-Aware Computer Systems, 2004.
52. T. Wood et al. CloudNet: Dynamic Pooling of Cloud Resources by Live WAN Migration of Virtual Machines. In Proceedings of the 7th International Conference on Virtual Execution Environments, 2011.