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Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment

A. Aggarwal1 , P. Dimri2 , A. Agarwal3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 565-570, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.565570

Online published on Jun 30, 2019

Copyright © A. Aggarwal, P. Dimri, A. Agarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Aggarwal, P. Dimri, A. Agarwal, “Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.565-570, 2019.

MLA Style Citation: A. Aggarwal, P. Dimri, A. Agarwal "Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment." International Journal of Computer Sciences and Engineering 7.6 (2019): 565-570.

APA Style Citation: A. Aggarwal, P. Dimri, A. Agarwal, (2019). Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment. International Journal of Computer Sciences and Engineering, 7(6), 565-570.

BibTex Style Citation:
@article{Aggarwal_2019,
author = {A. Aggarwal, P. Dimri, A. Agarwal},
title = {Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {565-570},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4592},
doi = {https://doi.org/10.26438/ijcse/v7i6.565570}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.565570}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4592
TI - Survey on Scheduling Algorithms for Multiple Workflows in Cloud Computing Environment
T2 - International Journal of Computer Sciences and Engineering
AU - A. Aggarwal, P. Dimri, A. Agarwal
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 565-570
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

Cloud computing has been the buzzword of the ICT industry lately and has been widely accepted because of its pay-as-you-go pricing model and ease of use. Hence the bigger scientific applications which are generally represented as workflow or DAG are also moving on the cloud. Scheduling workflows on the cloud was becoming a problem as the existing traditional workflow scheduling algorithms (for Grid) were not perfectly suitable for cloud environment because of its dynamic nature. This paper tries to explore the existing algorithms for scheduling multiple workflows in cloud computing environment and presents a comparative analysis in tabular form of some existing algorithms along with their parameters, methods and tools used.

Key-Words / Index Term

Scheduling, Cloud Computing, Multiple Workflow

References

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