International Journal of Mathematics Trends and Technology
Volume 54 | Number 4 | Year 2018 | Article Id. IJMTT-V54P540 | DOI : https://doi.org/10.14445/22315373/IJMTT-V54P540
This paper presents a HMM and Fuzzy controller based combine approach for cloud incoming job queue prediction and managing VM status and configuration of VMs inside of cloud environment. The approach is aimed to efficiently serve the task requests with minimal resource and power utilization. The proposed technique uses HMM based approach to predict the job queue and applies it alongside with information of currently running VM’s, VM’s configurations, resource availability in the cloud, future jobs resource requirements, current job execution status etc. to a fuzzy logic based controller which then after controls the VM’s status and configurations to serve the aimed purpose. The controlling in such way reduces the active physical resources which ultimately reduces the power requirements of the cloud. To validate the concept the proposed controller is tested against standard controlling algorithm for different load conditions. The test results obtained shows that the proposed fuzzy logic controller based technique outperforms standard techniques in terms of QoS, resource management, and power savings.
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Vikash Goswami,Dr.R.K.Shrivastava, "HMM and Fuzzy Logic Based Algorithm for Efficient Task Scheduling and Resource Management in Cloud Systems," International Journal of Mathematics Trends and Technology (IJMTT), vol. 54, no. 4, pp. 341-354, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V54P540
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