Multi-objective Scheduling Policy for Workflow Applications in Cloud Using Hybrid Particle Search and Rescue Algorithm

Cloud has been developed as a prominent distributed computing model over the last few years because of its wide array of resources and services that are virtualized, scalable, and on demand. In a distributed environment, coordination of workflow applications is an accepted NP-complete problem; hence...

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Bibliographic Details
Published in:	Service oriented computing and applications Vol. 16; no. 1; pp. 45 - 65
Main Authors:	Kakkottakath Valappil Thekkepurayil, Jabir, Suseelan, David Peter, Keerikkattil, Preetha Mathew
Format:	Journal Article
Language:	English
Published:	London Springer London 01.03.2022 Springer Nature B.V
Subjects:	Algorithms Cloud computing Clustering Computer Appl. in Administrative Data Processing Computer networks Computer Science Computer Systems Organization and Communication Networks Distributed processing e-Commerce/e-business Evacuations & rescues Exact solutions IT in Business Management of Computing and Information Systems Multiple objective analysis Neural networks Optimization algorithms Original Research Paper Particle swarm optimization Scheduling Searching Software Engineering/Programming and Operating Systems Task scheduling Workflow software Cloud computing Multi-objective optimization Scientific workflows Workflow scheduling Task encryption Resource clustering
ISSN:	1863-2386, 1863-2394
Online Access:	Get full text
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