Energy-efficient real-time heterogeneous server clusters

Real-Time Technology and Applications - Proceedings

Volumn , Issue , 2006, Pages 418-428

  Rusu, Cosmin ^a   Ferreira, Alexandre ^a   Scordino, Claudio ^a,b,c   Watson, Aaron ^a   Melhem, Rami ^a   Mosse, Daniel ^a  

^a University of Pittsburgh   (United States)

^b UNIVERSITY OF PISA   (Italy)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY EFFICIENCY; ENERGY UTILIZATION; GREEN COMPUTING; VOLTAGE SCALING;

DYNAMIC VOLTAGE SCALING (DVS); ENERGY EFFICIENT; HETEROGENEOUS CLUSTERS; HETEROGENEOUS SERVERS; INCREASING COSTS; REAL-TIME APPLICATION; REDUCE ENERGY CONSUMPTION; SERVER CLUSTER;

QUALITY OF SERVICE;

EID: 84884406969     PISSN: 10801812     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RTAS.2006.16     Document Type: Conference Paper

References (29)

1. Linux kernel CPUfreq subsystem. http//www.kernel.org/pub/linux/utils/ kernel/cpufreq/cpufreq.html.
2. The Backhand Project. http//www.backhand.org/.
3. T. F. Abdelzaher and C. Lu. Schedulability Analysis and Utilization Bounds for Highly Scalable Real-Time Services. In Proceedings of the 7th IEEE Real-Time Technology and Applications Symposium (RTAS'01), Taiwan, June 2001.
4. Apache. HTTP Server Project. http//httpd. apache.org/.
5. L. A. Barroso, J. Dean, and U. Holzle. Web Search for a Planet The Google Cluster Architecture. IEEE Micro, 23(2) 22-28, 2003.
6. R. Bianchini and R. Rajamony. Power and EnergyManagement for Server Systems. Computer, 37(11) 68-74, 2004.
7. P. Bohrer, E. N. Elnozahy, T. Keller, M. Kistler, C. Lefurgy, C. McDowell, and R. Rajamony. The case for power management in web servers. Kluwer Academic Publishers, 2002.
8. V. Cardellini, M. Colajanni, and P. S. Yu. Redirection Algorithms for Load Sharing in Distributed Web-server Systems. In 19th IEEE International Conference on Distributed Computing Systems (ICDCS'99), Austin, TX, June 1999.
9. M. Elnozahy,M. Kistler, andR. Rajamony. Energy-Efficient Server Clusters. In Workshop on Power-Aware Computer Systems (PACS'02), 2002.
10. M. Elnozahy,M. Kistler, and R. Rajamony. Energy Conservation Policies for Web Servers. In 4th USENIX Symposium on Internet Technologies and Systems, Seattle, Mar. 2003.
11. W. Felter, K. Rajamani, T. Keller, and C. Rusu. A performance-conserving approach for reducing peak power consumption in server systems. In International Conference on Supercomputing (ICS'05), pages 293-302, Cambridge, Massachusetts, June 2005.
12. K. Flautner and T. Mudge. Vertigo Automatic Performance-Setting for Linux. In 5th Symposium on Operating Systems Design and Implementation, Dec. 2002.
13. S. Gleason. Power Aware Operating Systems Task Specific CPU Throttling. http//www.cs.pitt.edu/PARTS/implementation/.
14. T. Heath, B. Diniz, E. V. Carrera, W. M. Jr., and R. Bianchini. Self-Configuring Heterogeneous Server Clusters. In Workshop on Compilers and Operating Systems for Low Power (COLP'03), September 2003.
15. T. Heath, B. Diniz, E. V. Carrera, W. M. Jr., and R. Bianchini. Energy Conservation in Heterogeneous Server Clusters. In 10th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, June 2005.
16. C. Lefurgy, K. Rajamani, F. Rawson, W. Felter, M. Kistler, and T. W. Keller. Energy management for commercial servers. IEEE Computer, 36(12) 39-48, Dec. 2003.
17. J. Lorch and A. Smith. Improving Dynamic Voltage Scaling Algorithms with PACE. In ACM SIGMETRICS, June 2001.
18. J. Moore, R. Sharma, R. Shih, J. Chase, C. Patel, and P. Ranganathan. Going Beyond CPUs The Potential of Temperature-AwareData Center Architectures. In 1st Workshop on Temperature-Aware Computer Systems, 2004.
19. PARTS. Power Efficiency Test. http//www.cs. pitt.edu/PARTS/demos/ efficient.
20. E. Pinheiro, R. Bianchini, E. V. Carrera, and T. Heath. Load Balancing and Unbalancing for Power and Performance in Cluster-Based Systems. In Workshop on Compilers and Operating Systems for Low Power (COLP'01), Sept 2001.
21. C. Rusu, R. Xu, R.Melhem, and D.Mosse. Energy-Efficient Policies for Request-Driven Soft Real-Time Systems. In Euromicro Conference on Real-Time Systems (ECRTS'04), Catania, Italy, July 2004.
22. S. Saewong and R. Rajkumar. Practical Voltage-Scaling for Fixed-Priority RT-Systems. In Proceedings of the 9th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'03), May 2003.
23. C. Scordino and E. Bini. Optimal Speed Assignment for Probabilistic Execution Times. In 2nd Workshop on Power-Aware Real-Time Computing (PARC'05), NJ, Sept. 2005.
24. C. Scordino and G. Lipari. Using resource reservation techniques for power-aware scheduling. In 4th ACM International Conference on Embedded Software, Pisa, Italy, 2004.
25. Seasonic. Power Angel. http//www.seasonicusa. com/products.php?lineId=8.
26. V. Sharma, A. Thomas, T. Abdelzaher, K. Skadron, and Z. Liu. Power-aware QoS Management in Web Servers. In Proceedings of the 24th IEEE Real-Time Systems Symposium (RTSS'03), Cancun,Mexico, December 2003.
27. M. Xiong, S. Han, and K.-Y. Lam. A Deferrable Scheduling Algorithm for Real-Time TransactionsMaintaining Data Freshness. In IEEE Real-Time System Symposium, Miami, Florida, Dec. 2005.
28. R.Xu, D. Zhu, C. Rusu,R.Melhem, andD.Mosse. Energy-Efficient Policies for Embedded Clusters. In ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES'05), June 2005.
29. F. Yao, A. Demers, and S.Shankar. A Scheduling Model for Reduced CPU Energy. In IEEE Annual Foundations of Computer Science, pages 374-382, 1995.