Optimizing scientific workflow scheduling in cloud computing: a multi-level approach using whale optimization algorithm

Xiaowen Zhang

doi:10.1186/s44147-024-00512-9

ScienceGate Book Chapters

JOURNAL ARTICLE

Optimizing scientific workflow scheduling in cloud computing: a multi-level approach using whale optimization algorithm

Xiaowen Zhang

Year: 2024 Journal: Journal of Engineering and Applied Science Vol: 71 (1) Publisher: Springer Nature

DOI: 10.1186/s44147-024-00512-9

Get Full-Text PDF Get Analytical Report

Keywords:

Whale Workflow Cloud computing Computer science Scheduling (production processes) Optimization algorithm Distributed computing Algorithm Mathematical optimization Database Mathematics Fishery Operating system

Metrics

Cited By

12.22

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Scientific Computing and Data Management

Social Sciences → Decision Sciences → Information Systems and Management

Optimizing scientific workflow scheduling in cloud computing: a multi-level approach using whale optimization algorithm

Metrics

Citation History

Topics

Related Documents

Efficient Workflow Scheduling algorithm in cloud computing using Whale Optimization

Scientific workflow scheduling in multi-cloud computing using a hybrid multi-objective optimization algorithm

Multi Objective Task Scheduling Algorithm for Cloud Computing Using Whale Optimization Technique

Regressive Whale Optimization for Workflow Scheduling in Cloud Computing

Optimizing multi objective based workflow scheduling in cloud computing using black hole algorithm