FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL
(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170
keywords: Cloud computing, energy conservation, load balancing, migration, workload consolidation
Cloud Computing is a model for enabling ubiquitous and on-demand access to shared resource pool. It represents a paradigm shift from traditional personal computing to computing as a pay-per-use utility. Cloud Computing is not without its challenges and despite tremendous progress in recent years, issues relating to security, resource provisioning and high availability still continue to plague it. In this paper, we focus on multi-objective resource management schemes; which are schemes that seek to manage multiple system or user requirements with little or no compromises. Multi-objective in Cloud Computing may include guaranteeing resource availability while adhering to Service Level Agreements or effectively utilizing resources while conserving energy. These objectives are usually divergent and prove a challenge for researchers as an improvement in one objective usually results in a corresponding wane in another or several others. We therefore propose a new approach using class-based migration policy for resource management, which is able to evenly balance workloads among systems and better conserve energy. Results of simulations carried out and compared to the state of the art, show that the proposed approach conserved energy and balances workloads better.
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