Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing : A Systematic Review. / Kaur, Simranjit; Bagga, Pallavi; Hans, Rahul; Kaur, Harjot.

In: Arabian Journal for Science and Engineering, Vol. 44, No. 4, 04.2019, p. 2867-2897.

Research output: Contribution to journalArticle

Published

Standard

Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing : A Systematic Review. / Kaur, Simranjit; Bagga, Pallavi; Hans, Rahul; Kaur, Harjot.

In: Arabian Journal for Science and Engineering, Vol. 44, No. 4, 04.2019, p. 2867-2897.

Research output: Contribution to journalArticle

Harvard

Kaur, S, Bagga, P, Hans, R & Kaur, H 2019, 'Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing: A Systematic Review', Arabian Journal for Science and Engineering, vol. 44, no. 4, pp. 2867-2897. https://doi.org/10.1007/s13369-018-3614-3

APA

Kaur, S., Bagga, P., Hans, R., & Kaur, H. (2019). Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing: A Systematic Review. Arabian Journal for Science and Engineering, 44(4), 2867-2897. https://doi.org/10.1007/s13369-018-3614-3

Vancouver

Author

Kaur, Simranjit ; Bagga, Pallavi ; Hans, Rahul ; Kaur, Harjot. / Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing : A Systematic Review. In: Arabian Journal for Science and Engineering. 2019 ; Vol. 44, No. 4. pp. 2867-2897.

BibTeX

@article{c56d3ddf58e24d5b858c8a59c5302c5e,
title = "Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing: A Systematic Review",
abstract = "Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking into account various Quality of Service (QoS) requirements. In virtue of continuous proliferation in the exploration of cloud computing, it has become stringent to find the proper scheduling scheme for the execution of workflowunder user specifications. Moreover, till the date, there exists no systematic review of the existing numerous techniques for this NP-complete problem in the cloud. Taking this into account, the present study seeks to address this gap and spotlights the comprehensive taxonomy of various scheduling schemes as well asextensively compares them by illuminating their objectives, features, merits, and demerits. This paper also highlights the future research challenges with an aim to foster more research in the realm of workflow scheduling as an optimization task.",
author = "Simranjit Kaur and Pallavi Bagga and Rahul Hans and Harjot Kaur",
year = "2019",
month = "4",
doi = "10.1007/s13369-018-3614-3",
language = "English",
volume = "44",
pages = "2867--2897",
journal = "Arabian Journal for Science and Engineering",
number = "4",

}

RIS

TY - JOUR

T1 - Quality of Service (QoS) Aware Workflow Scheduling (WFS) in Cloud Computing

T2 - A Systematic Review

AU - Kaur, Simranjit

AU - Bagga, Pallavi

AU - Hans, Rahul

AU - Kaur, Harjot

PY - 2019/4

Y1 - 2019/4

N2 - Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking into account various Quality of Service (QoS) requirements. In virtue of continuous proliferation in the exploration of cloud computing, it has become stringent to find the proper scheduling scheme for the execution of workflowunder user specifications. Moreover, till the date, there exists no systematic review of the existing numerous techniques for this NP-complete problem in the cloud. Taking this into account, the present study seeks to address this gap and spotlights the comprehensive taxonomy of various scheduling schemes as well asextensively compares them by illuminating their objectives, features, merits, and demerits. This paper also highlights the future research challenges with an aim to foster more research in the realm of workflow scheduling as an optimization task.

AB - Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking into account various Quality of Service (QoS) requirements. In virtue of continuous proliferation in the exploration of cloud computing, it has become stringent to find the proper scheduling scheme for the execution of workflowunder user specifications. Moreover, till the date, there exists no systematic review of the existing numerous techniques for this NP-complete problem in the cloud. Taking this into account, the present study seeks to address this gap and spotlights the comprehensive taxonomy of various scheduling schemes as well asextensively compares them by illuminating their objectives, features, merits, and demerits. This paper also highlights the future research challenges with an aim to foster more research in the realm of workflow scheduling as an optimization task.

U2 - 10.1007/s13369-018-3614-3

DO - 10.1007/s13369-018-3614-3

M3 - Article

VL - 44

SP - 2867

EP - 2897

JO - Arabian Journal for Science and Engineering

JF - Arabian Journal for Science and Engineering

IS - 4

ER -