A Cost-Optimized Data Parallel Task Scheduling in Multi-Core Resources Under Deadline and Budget Constraints

Saravanan Krishnan and Rajalakshmi N. R.
Additional contact information
Saravanan Krishnan: Anna University, Tirunelveli, India
Rajalakshmi N. R.: Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India

International Journal of Cloud Applications and Computing (IJCAC), 2022, vol. 12, issue 2, 1-16

Abstract: Large-scale distributed systems have advantages of high processing speeds and large communication bandwidths over the network. The processing of huge real-world data through distributed computing system becomes obscure because the major concern in large-scale distributed systems is to guarantee the completion of data processing task to be done within a budget and time constraints. This paper proposes a cost-optimized data parallel task scheduling in multi-core resources to address the above issue. By running concurrent executions on a multi-core resource, the number of parallel executions could be increased correspondingly, thereby it is able to finish the task within the deadline. A model is developed here to optimize the operational cost of data parallel task by feasibly assigning load fractions to each multi-core resource. This work experimented with data parallel task. The outcome of the work gives better solutions in terms of processing task by deadline at optimised computational cost.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.305857 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:12:y:2022:i:2:p:1-16

Access Statistics for this article

International Journal of Cloud Applications and Computing (IJCAC) is currently edited by B. B. Gupta

More articles in International Journal of Cloud Applications and Computing (IJCAC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().