MasnidaHussin, AbdullahMuhammed and NorAsilahWatiAbd Hamid
Department of Communication Technology and Network, Faculty of Computer Science
and Information Technology, University of Putra Malaysia, 43400 UPM Serdang,
Selangor, Malaysia
ABSTRACT
The appearance of infinite computing resources that available on demand and fast enough to adapt with
load surges makes Cloud computing favourable service infrastructure in IT market. Core feature in Cloud
service infrastructures is Service Level Agreement (SLA) that led seamless service at high quality of service
to client. One of the challenges in Cloud is providing heterogeneous computing services for the clients.
With the increasing number of clients/tenants in the Cloud, unsatisfied agreement is becoming a critical
factor. In this paper, we present an adaptive resource allocation policy which attempts to improve
accountable in Cloud SLA while aiming for enhancing system performance. Specifically, our allocation
incorporates dynamic matching SLA rules to deal with diverse processing requirements from
tenants.Explicitly, it reduces processing overheadswhile achieving better service agreement. Simulation
experiments proved the efficacy of our allocation policy in order to satisfy the tenants; and helps improve
reliable computing.
KEYWORDS
Resource allocation, Cloud computing, Service Level Agreement (SLA), Adaptive Service Agreement
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