• Mrs. O.DEVIPRIYA
• Dr. K. KUNGUMARAJ

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. A new revolution for providing pay-as-you-go virtual resources is cloud computing. 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. In order to avoid Service Level Agreement (SLA) violations, overloaded host detection is done for workload balancing, creating a list of overloaded hosts that will be helpful when placing virtual machines (VMs). By omitting the overloaded hosts when checking the underloaded host, computational costs are reduced. 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.

Cloud Computing, Virtual Machine, Host Detection, Overload, Underload, Energy Consumption, Service Level Agreement

"HOST DETECTION APPROACH USING OPTIMIZATION AND BOOSTING CLASSIFIER IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.117-122, March-2023, Available :http://www.jetir.org/papers/JETIRFV06023.pdf

"HOST DETECTION APPROACH USING OPTIMIZATION AND BOOSTING CLASSIFIER IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp117-122, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06023.pdf