A Fuzzy Grid-QoS Framework for Obtaining Higher Grid Resources Availability

A computational grid ensures the on-demand delivery of computing resources, in a security-aware, shared, scalable, and standardsbased computing environment. A major concern is how to evolve a general and an encompassing framework that guarantees users' satisfaction for using grid computing resources measured as Quality of Services (QoS). To obtain a higher QoS, effective QoS perceived by subscribers (users) must conform to specified QoS agreements in the Service Level Agreements (SLAs) document - a legal contract between the Grid Services Provider (GSP) and users. Sometimes, the effective user QoS does not conform to the specifications in the SLA because of the vagueness in linguistic definitions in the SLA. Existing approaches overcommitted grid resources to satisfy QoS requirement in SLA. In this paper, we propose a fuzzy logic framework for calibrating a user QoS that addresses the vagueness in linguistic definitions of the SLA document without overcommitting grid resources.