A novel hybrid algorithm for workflow scheduling in cloud

Abstract

Cloud computing is a service that provides its users all the computing facilities which can be accessed anywhere, at any time through the internet on a pay-per-use basis. There is a huge number of cloud service providers receiving a large number of requests from multiple users around the world, scheduling plays a vital role in assigning those requests to its requested resources. Task scheduling is an NP-hard problem in cloud environments due to which many heuristics and metaheuristics algorithms have been used for obtaining an optimised mapping. In this paper, we designed a hybrid Jaya-particle swarm optimisation (PSO) algorithm. The proposed algorithm combines both the Jaya and PSO to provide us better quality results. Our algorithm is evaluated in terms of execution cost and execution time and achieved better results in comparison with genetic algorithm (GA), PSO, honey bee, cat swarm optimisation (CSO), ant colony optimisation (ACO) and Jaya. Copyright © 2023 Inderscience Enterprises Ltd.