SLA-based advance reservations with flexible and adaptive time QoS parameters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4749 LNCS, Issue , 2007, Pages 119-131

  Netto, Marco A S ^a   Bubendorfer, Kris ^b   Buyya, Rajkumar ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SERVICES; PARALLEL PROCESSING SYSTEMS; PARAMETER ESTIMATION; QUALITY OF SERVICE; SCHEDULING ALGORITHMS; USER INTERFACES;

COMPUTATION SERVICES; COMPUTATIONAL RESOURCES; MULTIPLE SERVICES; SERVICE LEVEL AGREEMENTS (SLAS);

ADAPTIVE SYSTEMS;

EID: 38349071048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74974-5_10     Document Type: Conference Paper

References (12)

1. Auyoung, A., Grit, L., Wiener, J., Wilkes, J.: Service contracts and aggregate utility functions. In: HPDC. Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, Paris, France, June 19-23 2006, pp. 119-131. IEEE Computer Society Press, Los Alamitos (2006)
2. Naiksatam, S., Figueira, S.; Elastic reservations for efficient bandwidth utilization in lambdagrids. Future Generation Computer Systems 23(1), 1-22 (2007)
3. Chen, Y.T., Lee, K.H.: A flexible service model for advance reservation. Computer Networks 37(3/4), 251-262 (2001)
4. Kaushik, N.R., Figueira, S.M., Chiappari, S.A.: Flexible time-windows for advance reservation scheduling. In: MASCOTS. Proceedings of the 14th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Monterey, USA, September 11-14 2006, pp. 218-225 (2006)
5. Röblitz, T., Schintke, F., Reinefeld, A.: Resource reservations with fuzzy requests. Concurrency and Computation: Practice and Experience 18(13), 1681-1703 (2006)
6. Farooq, U., Majumdar, S., Parsons, E.W.: A framework to achieve guaranteed QoS for applications and high system performance in multi-institutional grid computing. In: ICPP. Proceedings of the 35th International Conference on Parallel Processing, Columbus, USA, August 14-18 2006, pp. 373-380. IEEE Computer Society Press, Los Alamitos (2006)
7. Wu, Y.L., Huang, W., Lau, S.C., Wong, C.K., Young, G.H.: An effective quasi-human based heuristic for solving the rectangle packing problem. European Journal of Operational Research 141(2), 341-358 (2002)
8. Netto, M.A.S., Buyya, R.: Impact of adaptive resource allocation requests in utility cluster computing environments. In: CCGRID. Proceedings of the 7th IEEE International Symposium on Cluster Computing and the Grid, Rio de Janeiro, Brazil, 14-17 May 2007, IEEE Computer Society Press, Los Alamitos (2007)
9. Chiang, S.H., Arpaci-Dusseau, A.C., Vernon, M.K.: The impact of more accurate requested runtimes on production job scheduling performance. In: Feitelson, D.G., Rudolph, L., Schwiegelshohn, U. (eds.) JSSPP 2002. LNCS, vol. 2537, pp. 103-127. Springer, Heidelberg (2002)
10. Lee, C.B., Snavely, A.: On the user-scheduler dialogue: Studies of user-provided runtime estimates and utility functions. International Journal of High Performance Computing Applications 20(4), 495-506 (2006)
11. Snell, Q., Clement, M.J., Jackson, D.B., Gregory, C.: The performance impact of advance reservation meta-scheduling. In: Feitelson, D.G., Rudolph, L. (eds.) IPDPS-WS 2000 and JSSPP 2000. LNCS, vol. 1911, pp. 137-153. Springer, Heidelberg (2000)
12. Castillo, C., Rouskas, G., Harfoush, K.: On the design of online scheduling algorithms for advance reservations and QoS in grids. In: IPDPS. Proceedings of the 21st IEEE International Parallel & Distributed Processing Symposium, Long Beach, USA, March 26-30 2007, IEEE Computer Society Press, Los Alamitos (2007)