Authors:
Seyyed Mohammad Javadi Moghaddam Department of Computer Engineering, Bozorgmehr University of Qaenat, Qaen, Iran

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Ali Khazaeli Department of Computer Engineering, Azad University of Birjand, Iran

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Abstract

The task scheduling is to map and arrange the execution of tasks on resources to optimize one or more efficient criteria. This paper tries to provide an improved model for scheduling workflow tasks of the cloud, which simultaneously considers three aspects of optimizing: makespan time, resource utilization, and scheduling length ratio. The model combines the non-dominated sorting genetic algorithm and the harmony search approach to achieve these goals. Harmony search algorithm attempts to perform a local search around the best solutions in each repetition of the algorithm to prevent it from getting stuck in the local optimal. The results on the four Cybershake, Epigenomics, Inspiral, and Montage datasets depict that the suggested algorithm is more efficient for all three criteria.

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  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
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2021  
Web of Science  
Total Cites
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not indexed
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Rank by Impact Factor

not indexed

Impact Factor
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Journal Self Cites
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5 Year
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Scimago  
Scimago
H-index
12
Scimago
Journal Rank
0,26
Scimago Quartile Score Civil and Structural Engineering (Q3)
Materials Science (miscellaneous) (Q3)
Computer Science Applications (Q4)
Modeling and Simulation (Q4)
Software (Q4)
Scopus  
Scopus
Cite Score
1,5
Scopus
CIte Score Rank
Civil and Structural Engineering 232/326 (Q3)
Computer Science Applications 536/747 (Q3)
General Materials Science 329/455 (Q3)
Modeling and Simulation 228/303 (Q4)
Software 326/398 (Q4)
Scopus
SNIP
0,613

2020  
Scimago
H-index
11
Scimago
Journal Rank
0,257
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
340/243=1,4
Scopus
Cite Score Rank
Civil and Structural Engineering 219/318 (Q3)
Computer Science Applications 487/693 (Q3)
General Materials Science 316/455 (Q3)
Modeling and Simulation 217/290 (Q4)
Software 307/389 (Q4)
Scopus
SNIP
1,09
Scopus
Cites
321
Scopus
Documents
67
Days from submission to acceptance 136
Days from acceptance to publication 239
Acceptance
Rate
48%

 

2019  
Scimago
H-index
10
Scimago
Journal Rank
0,262
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
269/220=1,2
Scopus
Cite Score Rank
Civil and Structural Engineering 206/310 (Q3)
Computer Science Applications 445/636 (Q3)
General Materials Science 295/460 (Q3)
Modeling and Simulation 212/274 (Q4)
Software 304/373 (Q4)
Scopus
SNIP
0,933
Scopus
Cites
290
Scopus
Documents
68
Acceptance
Rate
67%

 

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Pollack Periodica
Language English
Size A4
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Foundation
2006
Volumes
per Year
1
Issues
per Year
3
Founder Akadémiai Kiadó
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Address
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ISSN 1788-1994 (Print)
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