A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling

Ali Mohammadzadeh; Mohammad Masdari; Farhad Soleimanian Gharehchopogh; Ahmad Jafarian

doi:10.1007/s10586-020-03205-z

ScienceGate Book Chapters

JOURNAL ARTICLE

A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling

Ali Mohammadzadeh Mohammad Masdari Farhad Soleimanian Gharehchopogh Ahmad Jafarian

Year: 2020 Journal: Cluster Computing Vol: 24 (2)Pages: 1479-1503 Publisher: Springer Science+Business Media

DOI: 10.1007/s10586-020-03205-z

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Job shop scheduling Cloud computing Workflow Algorithm Virtual machine Distributed computing Scheduling (production processes) Mathematical optimization Routing (electronic design automation) Embedded system Database

Metrics

Cited By

11.61

FWCI (Field Weighted Citation Impact)

Refs

0.98

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

A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling

Metrics

Citation History

Topics

Related Documents

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

Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds

A Hybrid Metaheuristic for Multi-Objective Scientific Workflow Scheduling in a Cloud Environment

A hybrid multi-objective Particle Swarm Optimization for scientific workflow scheduling

A Hybrid Algorithm for Multi-Objective Scientific Workflow Scheduling in IaaS Cloud