Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments

Marco A. S. Netto, Rajkumar Buyya
2007 Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)  
Maximizing resource provider profit and satisfying user requirements at the same time is a challenging problem in utility computing environments. In this paper, we introduce adaptive resource allocation requests and investigate the impact of using them in utility cluster computing environments. The Service Level Agreements established between users and resource providers rely not only on fixed values, but also on functions that associate allocation parameters. In addition, the resource provider
more » ... scheduler can automatically modify the number of resources and usage time of allocation requests, as well as split them into subrequests. Users may receive incentives for supplying flexible requests which produce more scheduling options. By using rescheduling, resource providers are able to prioritize the most profitable requests dynamically and still satisfy the requirements of the already accepted user requests. From our experimental results we observed an increase of 14% in the resource provider profit and a reduction of 20% in the average response time of user requests when compared to traditional approaches.
doi:10.1109/ccgrid.2007.61 dblp:conf/ccgrid/NettoB07 fatcat:t6hmy6pb4rhnlejh3zhcblidqe