Optimizing Cloud Data Center Energy Efficiency via Dynamic Prediction of CPU Idle Intervals

Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015

Volumn , Issue , 2015, Pages 985-988

  Duan, Lide ^a   Zhan, Dongyuan ^b   Hohnerlein, Justin ^a  

^a University of Texas at San Antonio   (United States)

^b ADVANCED MICRO DEVICES   (United States)

Author keywords

Cloud data centers; CPU idle power; Dynamic prediction; Energy efficiency; Sleep states

Indexed keywords

CLOUD COMPUTING; COST BENEFIT ANALYSIS; COST EFFECTIVENESS; ELECTRIC POWER UTILIZATION; ENERGY UTILIZATION; FORECASTING; LEAKAGE CURRENTS; PROGRAM PROCESSORS; SLEEP RESEARCH;

CLOUD DATA CENTERS; CLOUD SIMULATION; CURRENT CLOUD COMPUTING; DYNAMIC PREDICTION; EVALUATION PLATFORMS; INTERVAL PREDICTION; SLEEP STATE; TECHNOLOGY NODES;

ENERGY EFFICIENCY;

EID: 84960171593     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2015.133     Document Type: Conference Paper

References (21)

1. http://www. Acpi. info/
2. M. Arora, S. Manne, Y. Eckert, I. Paul, N. Jayasena, and D. Tullsen, "A Comparison of Core Power Gating Strategies Implemented in Modern Hardware, " in SIGMETRICS 2014.
3. L. Barroso and U. Holzle, "The Case for Energy-Proportional Computing, " in Computer, Vol. 40, No. 12, pp. 33-37, 2007.
4. L. Barroso, J. Clidaras, and U. Holzle, "The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, " Second Edition, Morgan & Claypool Publishers, 2013.
5. A. Beloglazov, and R. Buyya, "Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers, " in Concurrency and Computation: Practice and Experience, Vol. 24, No. 13, pp. 1397-1420, 2012
6. R. Calheiros, R. Ranjan, A. Beloglazov, C. F. De Rose, and R. Buyya, "CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms, " in SPE, Vol. 41, No. 1, pp. 23-50, 2011.
7. L. Duan, B. Li, and L. Peng, "Versatile Prediction and Fast Estimation of Architectural Vulnerability Factor from Processor Performance Metrics, " In HPCA 2009.
8. J. Friedman, "Greedy Function Approximation: A Gradient Boosting Machine, " The Annals of Statistics, Vol. 29, pp. 1189-1232, 2001.
9. A. Greenberg, J. Hamilton, D. Maltz, and P. Patel, "The Cost of a Cloud: Research Problems in Data Center Networks, " in ACM SIGCOMM Computer Communications Review, Vol. 39, No. 1, pp. 68-73, 2008.
10. Intel, "Intel Xeon Processor E5-1600/E5-2600/E5-4600 Product Families, " in Intel Producet Documents, 2012.
11. S. Kaxiras and M. Martonosi, "Computer Architecture Techniques for Power-Efficiency, " Morgan & Claypool Publishers, 2008.
12. T. Kidd, "Power Management Stats: P-States, C-States, and Package C-States, " in Intel Development Resources, 2014.
13. Jonathan Koomey, "Growth in Data Center Electricity Use 2005 to 2010, " A Report by Analytical Press, Completed at the Request of The New York Times, 2011.
14. Y. Liu, S. Draper, and N. Kim, "SleepScale: Runtime Joint Speed Scaling and Sleep States Management for Power Efficient Data Centers, " in ISCA 2014.
15. D. Meisner, J. Wu, and T. Wenisch, "BigHouse: A Simulation Infrastructure for Data Center Systems, " in ISPASS 2012.
16. C. Xu, S. Gamage, H. Lu, R. Kompella, D. Xu, "vTurbo: Accelerating Virtual Machine I/O Processing Using Designated Turbo-Sliced Core, " in USENIX ATC 2013.
17. D. Zhan, H. Jiang, S. Seth, "Exploiting Set-Level Non-Uniformity of Capacity Demand to Enhance CMP Cooperative Caching, " in IPDPS 2010.
18. D. Zhan, H. Jiang, S. Seth, "STEM: Spatiotemporal Management of Capacity for Intra-Core Last Level Caches, " in MICRO 2010.
19. D. Zhan, H. Jiang, S. Seth, "Locality & Utility Co-optimization for Practical Capacity Management of Shared Last Level Caches, " in ICS 2012.
20. D. Zhan, "Spatiotemporal Capacity Management for the Last Level Caches of Chip Multiprocessors, " Ph. D. Dissertation, Dept. of Computer Science & Engineering, Univ. of Nebraska-Lincoln, Lincoln, Nebraska, Dec. 2012.
21. D. Zhan, H. Jiang, S. Seth, "CLU: Co-optimizing Locality and Utility in Thread-Aware Capacity Management for Shared Last Level Caches, " in IEEE Transactions on Computers, Vol. 63, No. 7, pp. 1656-1667, 2013.