SLA-based resource allocation in cluster computing systems

TLDR: This paper presents an approach for computer resource allocation in such an environment that minimizes the total cost of computer resources used by a service provider for an e-business application while satisfying the quality of service (QoS) defined in an SLA.

Abstract: Resource allocation is a fundamental but challenging problem due to the complexity of cluster computing systems. In enterprise service computing, resource allocation is often associated with a service level agreement (SLA) which is a set of quality of services and a price agreed between a customer and a service provider. The SLA plays an important role in an e-business application. A service provider uses a set of computer resources to support e-business applications subject to an SLA. In this paper, we present an approach for computer resource allocation in such an environment that minimizes the total cost of computer resources used by a service provider for an e-business application while satisfying the quality of service (QoS) defined in an SLA. These QoS metrics include percentile response time, cluster utilization, packet loss rate and cluster availability. Simulation results show the applicability of the approach and validate its accuracy.