Article (Scientific journals)
Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud.
Wangsom, Peerasak; Lavagnananda, Kittichai; Bouvry, Pascal
2019In IEEE Access, 7, p. 177063-177081
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Keywords :
Cloud computing; data movement
Abstract :
[en] Due to serving several purposes simultaneously, running scientific workflows on dynamic environments such as cloud computing, has become multi-objective scheduling. Among these purposes, Cost and Makespan are probably the most two primitive objectives. Another critical factor in a large-scale scientific workflow is tremendous amount of data during execution. Therefore, this work also includes Data Movement as an additional objective as it has a major impact on network utilization and energy consumption in network equipment in cloud data center. In considering these three objectives, this work proposes a framework for scheduling solutions which combines a new nodes clustering technique in Directed Acyclic Graph (DAG) model known as Multilevel Dependent Node Clustering (MDNC) and the multiobjective optimization, Extreme Nondominated Sorting Genetic Algorithm-III (E-NSGA-III). E-NSGAIII is the recent extension of Nondominated Sorting Genetic Algorithm (NSGA-III). Five well-known scientific workflows, CyberShake, Epigenomics, LIGO, Montage, and SIPHT are selected as testbeds, while the commonly known Hypervolume is chosen as the performance metric. In this work, MDNC is also experimented with both NSGA-III. Comparison among three approaches, E-NAGA-III alone, E-NAGA-III with Peer-to-Peer clustering and E-NAGA-III with MDNC are carried out. The superiority of the proposed framework among them and its limitation are discussed.
Disciplines :
Computer science
Author, co-author :
Wangsom, Peerasak;  KMUTT > SIT
Lavagnananda, Kittichai;  KMUTT > SIT
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud.
Publication date :
2019
Journal title :
IEEE Access
ISSN :
2169-3536
Publisher :
IEEE, United States
Volume :
7
Pages :
177063-177081
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
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