A budget constrained scheduling algorithm for executing workflow application in infrastructure as a service clouds

A budget constrained scheduling algorithm for executing workflow application in infrastructure as... Cloud computing technology, which is a new model of service provisioning in distributed systems, has been raised as a way to execute workflow applications. To profit from this technology for executing workflow applications, it is necessary to develop workflow scheduling algorithms that consider different QoS parameters such as execution time and cost. Therefore, in this paper, we focus on two criteria: makespan (completion time) and execution cost of workflow application and propose a scheduling algorithm named CB-DT (Constrained Budget-Decreased Time) which aims to create a schedule that decreases the makespan while satisfying the budget constraint of the workflow application. In the proposed algorithm, the ideas of back-tracking heuristic and scheduling of critical and non-critical tasks are combined together. In order to have smaller makespan, the proposed algorithm tries to select faster and more expensive machines for critical tasks as much as possible using the back-tracking method. Moreover, it tries to schedule non-critical tasks on the low cost machines as far as possible without increasing the makespan. The proposed algorithm is evaluated by a simulation process using WorkflowSim which is based on CloudSim. To evaluate the proposed algorithm, the results of proposed algorithm are compared with the results of IC-Loss http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Peer-to-Peer Networking and Applications Springer Journals

A budget constrained scheduling algorithm for executing workflow application in infrastructure as a service clouds

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Engineering; Communications Engineering, Networks; Information Systems and Communication Service; Computer Communication Networks; Signal,Image and Speech Processing
ISSN
1936-6442
eISSN
1936-6450
D.O.I.
10.1007/s12083-018-0662-0
Publisher site
See Article on Publisher Site

Abstract

Cloud computing technology, which is a new model of service provisioning in distributed systems, has been raised as a way to execute workflow applications. To profit from this technology for executing workflow applications, it is necessary to develop workflow scheduling algorithms that consider different QoS parameters such as execution time and cost. Therefore, in this paper, we focus on two criteria: makespan (completion time) and execution cost of workflow application and propose a scheduling algorithm named CB-DT (Constrained Budget-Decreased Time) which aims to create a schedule that decreases the makespan while satisfying the budget constraint of the workflow application. In the proposed algorithm, the ideas of back-tracking heuristic and scheduling of critical and non-critical tasks are combined together. In order to have smaller makespan, the proposed algorithm tries to select faster and more expensive machines for critical tasks as much as possible using the back-tracking method. Moreover, it tries to schedule non-critical tasks on the low cost machines as far as possible without increasing the makespan. The proposed algorithm is evaluated by a simulation process using WorkflowSim which is based on CloudSim. To evaluate the proposed algorithm, the results of proposed algorithm are compared with the results of IC-Loss

Journal

Peer-to-Peer Networking and ApplicationsSpringer Journals

Published: Jun 2, 2018

References

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