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Simulation of QoS-Based Task Scheduling Policy for Dependent and Independent Tasks in a Cloud Environment

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 159))

Abstract

Virtualization allows the cloud computing environment to execute several tasks with high efficiency. Using quality of service factors, namely makespan, time, cost, and CPU utilization and availability, many algorithms are used in the cloud to measure the service of the cloud service provider. In this paper, a new hybrid task scheduling algorithm is proposed to schedule dependent and independent tasks in a cloud environment. Min-Min task scheduling algorithm can be used to schedule dependent tasks whereas independent TS algorithm can be used to schedule the independent tasks. These two algorithms are compared with hybrid tasks scheduling algorithm by varying the number of tasks. New hybrid QoS-based task scheduling algorithm is giving better results when compared with Min-Min and TS algorithms. These algorithms are implemented and analyzed by using CloudSim simulator.

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Correspondence to Sirisha Potluri .

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Potluri, S., Rao, K.S. (2020). Simulation of QoS-Based Task Scheduling Policy for Dependent and Independent Tasks in a Cloud Environment. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_49

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