Resource allocation to conserve energy in distributed computing

International Journal of Grid and Utility Computing

Volumn 2, Issue 1, 2011, Pages 1-10

  Lynar, Timothy M ^a   Herbert, Ric D ^a   Simon, ^a   Chivers, William J ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Distributed computing; Energy conservation; Energy consumption; Grid; Resource allocation

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY CONSERVATION; ENERGY UTILIZATION; GREEN COMPUTING; POWER MANAGEMENT; RESOURCE ALLOCATION;

ALLOCATION MECHANISM; CONSERVE ENERGY; DIFFERENT MECHANISMS; GRID; GRID RESOURCE; GRID RESOURCE ALLOCATION; PERFORMANCE DATA; TOTAL ENERGY CONSUMPTION;

GRID COMPUTING;

EID: 79955829323     PISSN: 1741847X     EISSN: 17418488     Source Type: Journal    
DOI: 10.1504/IJGUC.2011.039976     Document Type: Article

References (21)

1. Anoep, S., Dumitrescu, C., Epema, D., Iosup, A., Jan, M., Li, H. and Wolters, L. (2009) 'The grid workloads archive', available at http://gwa.ewi.tudelft.nl (accessed on 3 March).
2. Aziz, A. and El-Rewini, H. (2009) 'Power aware scheduling in computational grids', in The 2009 International Conference on Parallel and Distributed Processing Techniques and Applications, CSREA Press, Las Vegas, NV, USA.
3. Chase, J. and Doyle, R. (2001) 'Energy management for server clusters', in HOTOS '01: Proceedings of the Eighth Workshop on Hot Topics in Operating Systems, p.165, IEEE Computer Society, Washington, DC, USA. (Pubitemid 34099939)
4. Costa, G.D., Gelas, J-P., Georgiou, Y., Lefevre, L., Orgerie, A-C., Pierson, J-M., Richard, O. and Sharma, K. (2009) 'The green-net framework: Energy efficiency in large scale distributed systems', in Parallel and Distributed Processing Symposium, International, pp.1-8.
5. Elnozahy, E., Kistler, M. and Rajamony, R. (2003) Energy-efficient Server Clusters, ser. Lecture Notes in Computer Science, Power-Aware Computer Systems, pp.179-197, Springer Berlin/Heidelberg.
6. Frachtenberg, E. and Feitelson, D.G. (2005) 'Pitfalls in parallel job scheduling evaluation', in 11th Workshop on Job Scheduling Strategies for Parallel Processing, June, pp.257-282, Cambridge, MA.
7. Freeh, V.W., Pan, F., Kappiah, N., Lowenthal, D.K. and Springer, R. (2005) 'Exploring the energy-time tradeoff in MPI programs on a power-scalable cluster', in IPDPS '05: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05), IEEE Computer Society, p.4.1, Washington, DC, USA.
8. Gode, D.K. and Sunder, S. (1993) 'Allocative efficiency of markets with zero-intelligence traders: Market as a partial substitute for individual rationality', The Journal of Political Economy, February, Vol. 101, No. 1, pp.119-138.
9. Harada, F., Ushio, T. and Nakamoto, Y. (2006) 'Power-aware resource allocation with fair QoS guarantee', in RTCSA '06: Proceedings of the 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, IEEE Computer Society, pp.287-293, Washington, DC, USA. (Pubitemid 47131246)
10. Heath, T., Diniz, B., Carrera, E.V., Meira, W., Jr. and Bianchini, R. (2005) 'Energy conservation in heterogeneous server clusters', in PPoPP '05: Proceedings of the Tenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp.186-195, ACM, New York, NY, USA. (Pubitemid 43182845)
11. Hsu, C. and Feng, W. (2005a) 'A feasibility analysis of power awareness in commodity-based high-performance clusters', in 7th IEEE International Conference on Cluster Computing (CLUSTER'05), September, Boston, Massachusetts.
12. Hsu, C. and Feng, W. (2005b) 'A power-aware run-time system for high-performance computing', in ACM/IEEE SC2005: The International Conference on High-Performance Computing, Networking, and Storage, November, Seattle, Washington.
13. Hsu, C., Feng, W. and Archuleta, J.S. (2005) 'Towards efficient supercomputing: A quest for the right metric', in 1st IEEE Workshop on High-Performance, Power-Aware Computing (in Conjunction with the 19th International Parallel & Distributed Processing Symposium), April, Denver, Colorado.
14. Khan, S.U. (2009) 'A game theoretical energy efficient resource allocation technique for large distributed computing systems', in The 2009 International Conference on Parallel and Distributed Processing Techniques and Applications, CSREA Press, Las Vegas, NV, USA.
15. Khargharia, B., Hariri, S. and Yousif, M.S. (2008) 'Autonomic power and performance management for computing systems', Cluster Computing, Vol. 11, No. 2, pp.167-181. (Pubitemid 351411542)
16. Patel, C., Sharma, R., Bash, C. and Graupner, S. (2002) 'Energy aware grid: Global workload placement based on energy efficiency', Hewlett Packard, HP Laboratories Palo Alto, Tech. Rep. HPL-2002-329, November.
17. Pinheiro, E., Bianchini, R.Çarrera, E. and Heath, T. (2001) 'Load balancing and unbalancing for power and performance in cluster-based systems', in Proceedings of the Workshop on Compilers and Operating Systems for Low Power, September.
18. Rusu, C., Ferreira, A., Scordino, C. and Watson, A. (2006) 'Energy-efficient real-time heterogeneous server clusters', in RTAS '06: Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium, pp.418-428, IEEE Computer Society, Washington, DC, USA.
19. Shah, A.J. and Krishnan, N. (2008) 'Optimization of global data center thermal management workload for minimal environmental and economic burden', IEEE Transactions on Components and Packaging Technologies, March, Vol. 31, No. 1, pp.39-45. (Pubitemid 351447596)
20. Springer, R., Lowenthal, D.K., Rountree, B. and Freeh, V.W. (2006) 'Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster', in PPoPP '06: Proceedings of the eleventh ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp.230-238, ACM, New York, NY, USA. (Pubitemid 44758693)
21. Subrata, R., Zomaya, A.Y. and Landfeldt, B. (2010) 'Cooperative power-aware scheduling in grid computing environments', Journal of Parallel and Distributed Computing, February, Vol. 70, No. 2, pp.84-91.