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http://dx.doi.org/10.9709/JKSS.2013.22.1.077

Fuzzy Logic-driven Virtual Machine Resource Evaluation Method for Cloud Provisioning Service  

Kim, Jae-Kwon (인하대학교 정보공학과)
Lee, Jong-Sik (인하대학교 정보공학과)
Publication Information
Journal of the Korea Society for Simulation / v.22, no.1, 2013 , pp. 77-86 More about this Journal
Abstract
Cloud computing is one of the distributed computing environments and utilizes several computing resources. Cloud environment uses a virtual machine to process a requested job. To balance a workload and process a job rapidly, cloud environment uses a provisioning technique and assigns a task with a status of virtual machine. However, a scheduling method for cloud computing requires a definition of virtual machine availabilities, which have an obscure meaning. In this paper, we propose Fuzzy logic driven Virtual machine Provisioning scheduling using Resource Evaluation(FVPRE). FVPRE analyzes a state of every virtual machine and actualizes a value of resource availability. Thus FVPRE provides an efficient provisioning scheduling with a precise evaluation of resource availability. FVPRE shows a high throughput and utilization for job processing on cloud environments.
Keywords
Cloud Service; Virtual Machine Provisioning; Job Scheduling; Fuzzy Logic; FVPRE;
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