Computational Model for Hybrid Job Scheduling in Grid Computing
- Title
- Computational Model for Hybrid Job Scheduling in Grid Computing
- Creator
- Sinha P.; Aeishel G.; Jayapandian N.
- Description
- Grid computing the job scheduling is the major issue that needs to be addressed prior to the development of a grid system or architecture. Scheduling is the users job to apropos resources in the grid environment. Grid computing has got a very wide domain in its application and thus induces various research opportunities that are generally spread over many areas of distributed computing and computer science. The cardinal point of scheduling is being attaining apex attainable performance and to satisfy the application requirements with computing resources at exposure. This paper posits techniques of using different scheduling techniques for increasing the efficacy of the grid system. This hybrid scheduler could enable the grid system to reduce the execution time. This paper also proposes an architecture which could be implemented ensuring the optimal results in the grid environment. This adaptive scheduler would possibly combine the pros of two scheduling strategies to produce a hybrid scheduling strategy which could cater the ever changing workload encountered by the gird system. The main objective of the proposed system is to reduce to overall job execution time and processor utilization time. 2020, Springer Nature Switzerland AG.
- Source
- Lecture Notes on Data Engineering and Communications Technologies, Vol-33, pp. 387-394.
- Date
- 2020-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Distributed computing; Dynamic scheduling; Grid Computing; Parallel computing; Scheduling
- Coverage
- Sinha P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Aeishel G., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 23674512
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Sinha P.; Aeishel G.; Jayapandian N., “Computational Model for Hybrid Job Scheduling in Grid Computing,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18853.