What is it about?
This study focuses on four objectives cost, response time, availability, and reliability for VM assignment in task scheduling and proposes a four-tier structure, Observe, Orient, Decide, and Act, where (1) Observe is responsible for continuous monitoring users' requests and characteristics of data centers and VMs, (2) Orient is responsible for clustering data centers using fuzzy c-means and based of the four quality of services (SLA's factors) and then the selection of the most suitable data center cluster for the VM selection, (3) Decide is responsible for making decision on the most suitable VMs using multi-objective linear programming, and (4) Act is responsible for the execution of the decision. The proposed structure was implemented, and its effectiveness was evaluated through considering the number of SLA violations.
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Why is it important?
Because of widespread distribution of resources in the geographically distributed cloud environment, optimal selection of virtual machines (VMs) is one of the most important challenges for the structure of the network. This is due to the high number of data centers and VMs with different qualities of service parameters. Because of redundancy in the VMs and the high number of service parameters, optimal selection of VMs is an NP-hard problem. Therefore, a method is required, which can suggest the best VMs on the basis of the user's request and on the service-level agreements (SLAs).
Perspectives
Resource selection is one of the most important aspects of managing clouds, especially if the clouds are distributed geographically. Many small data centers with different geographical dispersions create the geographically distributed cloud. The goal of this study was to select the best VMs according to the SLA agreement and the user's requirements, from the geographically distributed data centers. The proposed method was a combination of a clustering method called FCM and an optimization method called MOLP.
Dr Seyed Morteza Babamir
University of Kashan
Read the Original
This page is a summary of: Optimal selection of VMs for resource task scheduling in geographically distributed clouds using fuzzy c-mean and MOLP, Software Practice and Experience, July 2018, Wiley,
DOI: 10.1002/spe.2601.
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