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Journal of Theoretical and Applied Information Technology Yadav, C. , Gupta, Y.K.
Volume 85, Issue 2, 20 March 2016, Pages 124-135 Cost effective ant colony
optimization in cloud
A dynamic approach to task scheduling in cloud computing using genetic computing
algorithm (Article)
(2019) International Journal of
Durga Lakshmi, R., Srinivasu, N. Innovative Technology and
Exploring Engineering
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Uma Maheswara Rao, I. , Sastry,
J.K.R.
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Scheduling under open stack –
a
Department of Computer Science, K L University, Vijayawada, India The current state and future
b
Department of Computer Science and Engineering, K L University, Vijayawada, India enhancements
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(2019) International Journal of
Recent Technology and
Abstract Engineering
Cloud computing is one of device technology trends in the future since it combines the advantages of both device Asif, R. , Alam, K.A. , Jamil, A.
computing and cloud, Recent years have seen the massive migration of enterprise applications to the cloud. Cloud Workflow application
computing used in business organizations and educational institutions. One of the challenges posed by cloud scheduling in cloud computing:
applications is Quality-of-Service (QoS) management, which is the problem of allocating resources to the application A systematic literature review
to guarantee a service level along dimensions such as performance, availability and reliability. To improve the QoS in a (SLR)
system one must need to reduce the waiting time of the system. Genetic Algorithm (GA) is a heuristic search
(2019) ACM International
technique which produces the optimal solution of the tasks. This work produces one scheduling algorithm based on Conference Proceeding Series
GA to optimize the waiting time of overall system. The cloud environment is divided into two parts mainly, one is
Cloud User (CU) and another is Cloud Service Provider (CSP). CU sends service requests to the CSP and all the View details of all 8 citations
requests are stored in a Request Queue (RQ) inside CSP which directly communicates with GA Module Queue
Sequencer (GAQS). GAQS perform background operation, like daemon, with extreme dedication and selects the best Inform me when this document
sequence of jobs to be executed which minimize the Waiting time (WT) of the tasks using Round Robin (RR) is cited in Scopus:
scheduling Algorithm and store them into Buffer Queue (BQ). Then the jobs must be scheduled by the Job Scheduler Set citation Set citation
(JS) and select the particular resource from resource pool (RP) which it needs for execution. © 2005 - 2016 JATIT & alert ▻ feed ▻
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SciVal Topic Prominence
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Topic: Cloud computing | Clouds | Workflow scheduling
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Prominence percentile: 98.242 Scopus based on:
Authors ▻ Keywords ▻
Author keywords
Buffer Queue Cloud computing Cloud Service Provider Cloud User GA Module Queue Sequencer
Genetic Algorithm Quality of Service Request Queue Resource Pool Round Robin Scheduling Algorithm
Waiting Time
ISSN: 19928645 Document Type: Article
Source Type: Journal Publisher: Asian Research Publishing Network
Original language: English
Srinivasu, N.; Department of Computer Science and Engineering, K L University, Vijayawada, India
© Copyright 2016 Elsevier B.V., All rights reserved.
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