Optimization Based Host Detection Technique for VM Consolidation in Cloud Computing

  • P. Nithya, Dr. L. Jayasimman
Keywords: Cloud computing, Optimization algorithm, Host Detection, Overload, Underload, Service Level Agreement (SLA), Virtual Machine.

Abstract

Because of its scalable and dynamic features, cloud computing has gotten a lot of attention from the research community and IT management. Cloud computing allows businesses to outsource their IT infrastructure by providing on-demand access to a shared pool of computing resources. Cloud providers are constructing data centres to meet the ever-increasing demands of cloud consumers. As a result, these cloud data centres use a lot of energy and have the potential to squander a lot of it. Consolidation of Virtual Machines (VMs) aids in resource optimization and, as a result, lowers energy consumption in a cloud data centre. When it comes to VM consolidation, VM placement is crucial. Cloud computing is a new paradigm for provisioning virtual resources on a pay-as-you-go basis. When users' work needs are received, they are mapped to virtual resources operating on datacenter hosts. It is necessary to detect overloaded hosts in order to achieve workload consolidation. Overloaded host detection is carried out for workload balancing, creating a list of overloaded hosts that will be useful when placing VMs (by not putting a VM on an already overloaded host) to avoid Service Level Agreement (SLA) violations, and when checking the underloaded host, the overloaded hosts are omitted to save computational cost. An optimization-based Host Detection methodology is proposed in this research study to analyse the host based on CPU, Bandwidth, and RAM utilizations in order to find overloaded and underloaded hosts.

Published
2021-08-07
How to Cite
Dr. L. Jayasimman, P. N. (2021). Optimization Based Host Detection Technique for VM Consolidation in Cloud Computing. Design Engineering, 7083-7098. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/3224
Section
Articles