Title
SLA based resource allocation policies in autonomic environments
Abstract
Nowadays, large service centers provide computational capacity to many customers by sharing a pool of IT resources. The service providers and their customers negotiate utility based Service Level Agreement (SLA) to determine the costs and penalties on the base of the achieved performance level. The system is often based on a multi-tier architecture to serve requests and autonomic techniques have been implemented to manage varying workload conditions. The service provider would like to maximize the SLA revenues, while minimizing its operating costs. The system we consider is based on a centralized network dispatcher which controls the allocation of applications to servers, the request volumes at various servers and the scheduling policy at each server. The dispatcher can also decide to turn ON or OFF servers depending on the system load. This paper designs a resource allocation scheduler for such multi-tier autonomic environments so as to maximize the profits associated with multiple class SLAs. The overall problem is NP-hard. We develop heuristic solutions by implementing a local-search algorithm. Experimental results are presented to demonstrate the benefits of our approach.
Year
DOI
Venue
2007
10.1016/j.jpdc.2006.10.006
J. Parallel Distrib. Comput.
Keywords
Field
DocType
system load,large service center,sla revenue,resource allocation scheduler,multi-tier architecture,resource allocation policy,centralized network dispatcher,service provider,it resource,autonomic technique,multi-tier autonomic environment,quality of service,load balance,autonomic computing,profitability,local search algorithm,load balancing,resource allocation
Autonomic computing,Service quality,Scheduling (computing),Computer science,Service-level agreement,Server,Quality of service,Service provider,Resource allocation,Distributed computing
Journal
Volume
Issue
ISSN
67
3
Journal of Parallel and Distributed Computing
Citations 
PageRank 
References 
55
2.36
17
Authors
3
Name
Order
Citations
PageRank
danilo ardagna11944112.08
Marco Trubian259451.20
Li Zhang32052122.06