Leveraging Fog Computing for Virtual Machine Placement in the Cloud Computing Environment

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Vipin Kumar Jaiswal, Jameel Ahmad, Kiran Deep Singh

Abstract

In the era of cloud computing, the allocation of virtual machines to physical machines within a data center is a critical issue that involves the decision-making process of determining the optimal strategy. It involves optimizing resource usage of CPU and RAM, reducing latency, reducing energy consumption, and ensuring the completion of tasks. Fog computing addresses these challenges by extending processing and storage resources to the edge of the network. Similar to the cloud, it may employ virtual machines for efficient resource utilization. In this paper, the capability of fog computing is leveraged for efficient virtual machine placement. A comprehensive solution is presented for optimum resource utilization in the fog/cloud environment. iFogSim toolkit is used that address the challenges of reducing latency, increasing energy consumption, and increasing resource utilization in fog/cloud computing environments. Results show the effectiveness of the solution by indicating reduced latency, efficient CPU utilization at about 67.5% with other important  metrices.

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