Presenter: Manar Bani Issa

Date: Wednesday, July 19, 2017

Time: 2:30PM

Location: P1103​

Abstract:
Cloud computing (CC) is a computing model that enables the customers to access, when needed, a shared pool of resources (e.g., storage, network, servers, etc.) through the internet with a pay-per-use pricing model. Different service models are employed including the Platform-as-a-Service (PaaS) model, in which the costumers request a certain set of resouces and the cloud service provides them in the form of a virtual machine (VM). Where to “place” VMs, how to “excute” them and whether there is a need to “move/migrate” them are important decisions that affect the overall power consumption in the hosting data center and the utilization of its resources. This study aims to optimize energy efficiency and resource utilization in cloud data centers by applying a VM consolidation technique. VM consolidation is a technique of migrating and consolidating the VMs in order to reduce the number of active physical machines and increase the utilization of these machines. Therefore, this study presents a system for resource monitoring, planning, and optimizing depending on Logistic Regression (LR). In addition, a new algorithm is proposed for host overloading detection, which have been evaluated on a dynamic workload using the CloudSim tool, whereas the simulation results show that the proposed algorithm outperforms the rest of the known algorithms.
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