A fuzzy Grid-QoS framework for obtaining higher grid resources availability

作者：Allenotor David; Thulasiram Ruppa K^*

来源：Journal of Supercomputing, 2013, 66(3): 1231-1242.

DOI：10.1007/s11227-011-0728-8

• Grid computing
• Quality of service
• Service level agreement
• Resources availability
• Fuzzy logic
• Fuzzy inference engine

A computational grid ensures the on-demand delivery of computing resources, in a security-aware, shared, scalable, and standards-based computing environment. A major concern is how to evolve a general and an encompassing framework that guarantees users%26apos; satisfaction 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 resources to meet QoS. In this paper, we propose a fuzzy logic framework for calibrating a grid resources user-QoS that addresses the vagueness in linguistic definitions of the SLA document without overcommitting grid resources.

• 出版日期2013-12