Temperature-aware scheduling: When is system-throttling good enough?

Proceedings - The 9th International Conference on Web-Age Information Management, WAIM 2008

Volumn , Issue , 2008, Pages 397-404

  Rajan, Deepak ^a   Yu, Philip S ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CHLORINE COMPOUNDS; COMPUTER SOFTWARE; INFORMATION SCIENCE; MANAGEMENT INFORMATION SYSTEMS; REAL TIME SYSTEMS; SCHEDULING; SPEED;

CLOCK SPEEDS; COMPLEX SCHEDULING; EFFECTIVE TEMPERATURE; INTERNATIONAL CONFERENCES; IS SYSTEMS; MAXIMUM LOADS; OPERATING SPEEDS; POWER-AWARE OPERATING SYSTEMS; SIMPLE SYSTEMS; SYSTEM LOADS; TEMPERATURE MODELLING; TEMPERATURE-AWARE SCHEDULING;

INFORMATION MANAGEMENT;

EID: 51849104784     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAIM.2008.63     Document Type: Conference Paper

References (27)

1. N. Bansal, T. Kimbrel, and K. Pruhs. Dynamic speed scaling to manage energy and temperature. In FOCS, pages 520-529. IEEE Computer Society, 2004.
2. N. Bansal and K. Pruhs. Speed scaling to manage temperature. In V. Diekert and B. Durand, editors, STACS, volume 3404 of Lecture Notes in Computer Science, pages 460-471. Springer, 2005.
3. N. Bansal, K. Pruhs, and C. Stein. Speed scaling for weighted flow time. In SODA, 2007.
4. C. Belady. Cooling and power consideration for semiconductors into the next century. In E. Macii, V. De, and M. J. Irwin, editors, ISLPED, pages 100-105. ACM, 2001.
5. C. Belady and W. Vinson. Power-hungry data centers must develop a plan for curbing costs, increasing efficiency. Enterprise Networks & Servers, February 2007.
6. F. Bellosa, A. Weissel, M. Waitz, and S. Refiner. Eventdriven energy accounting for dynamic thermal management. In Proceedings of the Workshop on Compilers and Operating Systems for Low Power (COLP'03), New Orleans, LA. Sept. 27 2003.
7. R. Bianchini and R. Rajamony. Power and energy management for server systems. Computer, 37:68-74, 2004.
8. D. J. Bradley, R. E. Harper, and S. W. Hunter. Workloadbased power management for parallel computer systems. IBM J. Res. Dev., 47(5-6):703-718, 2003.
9. D. Brooks and M. Martonosi. Dynamic thermal management for high-performance microprocessors. In HPCA, 2001.
10. D. M. Brooks, P. Bose, S. E. Schuster, H. Jacobson, P. N. Kudva, A. Buyuktosunoglu, J.-D. Wellman, V. Zyuban, M. Gupta, and P. W. Cook. Power-aware microarchitecture: Design and modeling challenges for next-generation microprocessors. IEEE Micro, 20(6):26-44, 2000.
11. D. P. Bunde. Power-aware scheduling for makespan and flow. In P. B. Gibbons and U. Vishkin, editors, SPAA, pages 190-196. ACM, 2006.
12. K. Flautner and T. Mudge. Vertigo: Automatic performance setting for linux. In OSDI'02: Proceedings of the 5th symposium on Operating systems design and implementation, pages 105-116. ACM Press, 2002.
13. M. Gomaa, M. D. Powell, and T. N. Vijaykumar. Heatand-run: Leveraging SMT and CMP to manage power density through the operating system. In ASPLOS-XI: Proceedings of the 11th international conference on Architectural support for programming languages and operating systems, pages 260-270. ACM Press, 2004.
14. C. Hsu and W. Feng. Reducing overheating-induced failures via performance-aware CPU power management. In The 6th International Conference on Linux Clusters: The HPC Revolution 2005, April 2005.
15. J. Lorch and A. J. Smith. PACE: A new approach to dynamic voltage scaling. IEEE Transactions on Computers, 53(7):856-869, 2004.
16. M. Ma, S. H. Gunther, B. Greiner, N. Wolff, C. Deutschle, and T. Arabi. Enhanced thermal management for future processors. In 2003 Symposium on VLSI Circuits, pages 201-204, 2003.
17. A. Merkel and F. Bellosa. Balancing power consumption in multiprocessor systems. In First Association for Computing Machinery (ACM) SIGOPS EuroSys Conference, pages 403-414. ACM Press, Apr. 18-21 2006.
18. J. D. Moore, J. S. Chase, P. Ranganathan, and R. K. Sharma. Making scheduling "Cool": Temperature-aware workload placement in data centers. In USENIX Annual Technical Conference, General Track, pages 61-75. USENIX, 2005.
19. A. D. Polyanin and V. F. Zaitsev. Handbook of Exact Solutions for Ordinary Differential Equations. Chapman & Hall/CRC Press, 2003.
20. K. Pruhs, J. Sgall, and E. Torng. Online scheduling. In Handbook of Scheduling: Algorithms, Models, and Performance Analysis, chapter 15. CRC Press, Inc., Boca Raton, FL, USA, 2004.
21. K. Rajamani and C. Lefurgy. On evaluating request distribution schemes for saving energy in server clusters. In ISPASS, pages 111-122. IEEE Computer Society, 2003.
22. D. Rajan and P. S. Yu. On temperature-aware scheduling for single-processor systems. In HiPC, pages 342-355, 2007.
23. D. Rajan and P. S. Yu. Temperature-aware scheduling: When is system-throttling good enough? Technical Report RC24331, IBM T. J. Watson Research Center, 2007.
24. J. E. Seargeant and A. Krum. Thermal Management Handbook. McGraw-Hill, 1998.
25. D. A. Solomon. The windows nt kernel architecture. Computer, 31(10):40-47, 1998.
26. A. Weissel and F. Bellosa. Process cruise control: Eventdriven clock scaling for dynamic power management. In Proceedings of the International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES 2002), Grenoble, France, Oct. 8-11 2002.
27. F. Yao, A. Demers, and S. Shenker. A scheduling model for reduced cpu energy. In FOCS'95: Proceedings of the 36th Annual Symposium on Foundations of Computer Science (FOCS'95), page 374, Washington, DC, USA, 1995. IEEE Computer Society.