Swarm-Inspired Task Scheduling Strategy in Cloud Computing

Cloud computing is the most emerging technology which provides sharing of computing resources and data storage through virtualization concept. However, managing plenty of virtualized resources made scheduling a difficult task in cloud computing. Task scheduling must be done in such a way that it must satisfy customer requirements and maintain the quality of service (QoS). In this paper, we proposed a method for resource allocation based on particle swarm optimization (PSO) algorithm and with two objectives which produce optimal task scheduling. The first objective is related to virtual machine processing, and the second objective is related to the time elapsed to complete the given task. Based on the throughput of these objectives, the virtual machines are allotted to the resources.

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