Provisioning spot market cloud resources to create cost-effective virtual clusters

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

Volumn 7016 LNCS, Issue PART 1, 2011, Pages 395-408

  Voorsluys, William ^a   Garg, Saurabh Kumar ^a   Buyya, Rajkumar ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

cloud computing; spot market; virtual clusters

Indexed keywords

AMAZON WEB SERVICES; ESTIMATION METHODS; PRICE VARIATION; RESOURCE ALLOCATION POLICY; RUNTIMES; SPOT MARKET; TRACE-BASED SIMULATION; VIRTUAL CLUSTERS; VIRTUAL MACHINES;

ALGORITHMS; CLOUD COMPUTING; COMPUTER RESOURCE MANAGEMENT; LAKES; USER INTERFACES; WEB SERVICES;

COSTS;

EID: 80455140362     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24650-0_34     Document Type: Conference Paper

References (11)

1. Hill, Z., Humphrey, M.: A Quantitative Analysis of High Performance Computing with Amazon's EC2 Infrastructure: The Death of the Local Cluster? In: Proceedings of the 10th IEEE/ACM International Conference on Grid Computing (October 2009)
2. de Assuncao, M.D., di Costanzo, A., Buyya, R.: Evaluating the Cost-Benefit of Using Cloud Computing to Extend the Capacity of Clusters. In: Proceedings of the 18th ACM International Symposium on High Performance Distributed Computing. HPDC 2009. ACM, New York (2009)
3. Yi, S., Kondo, D., Andrzejak, A.: Reducing Costs of Spot Instances via Check-pointing in the Amazon Elastic Compute Cloud. In: 2010 IEEE 3rd International Conference on Cloud Computing, pp. 236-243. IEEE, Los Alamitos (2010)
4. Mattess, M., Vecchiola, C., Buyya, R.: Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market. In: Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, pp. 180-188. IEEE Computer Society, Los Alamitos (2010)
5. Andrzejak, A., Kondo, D., Yi, S.: Decision Model for Cloud Computing under SLA Constraints. Technical report, INRIA (2010)
6. Tsafrir, D.: Using inaccurate estimates accurately. In: Frachtenberg, E., Schwiegelshohn, U. (eds.) JSSPP 2010. LNCS, vol. 6253, pp. 208-221. Springer, Heidelberg (2010)
7. Downey, A.B.: A Model For Speedup of Parallel Programs. Technical report, Berkeley, CA, USA (1997)
8. Cirne, W., Berman, F.: AModel for Moldable Supercomputer Jobs. In: Proceedings of the 15th International Parallel and Distributed Processing Symposium. IEEE Computer Society, Los Alamitos (2001)
9. Buyya, R., Ranjan, R., Calheiros, R.: Modeling and Simulation of Scalable Cloud Computing Environments and the Cloudsim Toolkit: Challenges and Opportunities. In: Proceeding of the International Conference on High Performance Computing & Simulation, HPCS 2009, pp. 1-11. IEEE, Los Alamitos (2009)
10. Feitelson, D.: Parallel workloads archive, http://www.cs.huji.ac.il/labs/ parallel/workload
11. Tsafrir, D., Etsion, Y., Feitelson, D.G.: Modeling User Runtime Estimates. In: Feitelson, D.G., Frachtenberg, E., Rudolph, L., Schwiegelshohn, U. (eds.) JSSPP 2005. LNCS, vol. 3834, pp. 1-35. Springer, Heidelberg (2005)