Designing hybrid graph model and algorithmic analysis of workflow decomposition in mobile distributed systems
- Authors
- Ali, Ihtisham; Bagchi, Susmit
- Issue Date
- Sep-2018
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Workflow decomposition; Distributed database; Workflow graph; Algorithmic analysis; Mobile distributed systems; Adjacency matrices
- Citation
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.86, pp 145 - 161
- Pages
- 17
- Indexed
- SCIE
SCOPUS
- Journal Title
- FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
- Volume
- 86
- Start Page
- 145
- End Page
- 161
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/11327
- DOI
- 10.1016/j.future.2018.03.012
- ISSN
- 0167-739X
1872-7115
- Abstract
- The execution of data intensive workflow is challenging in the domain of mobile distributed systems due to the involvement of heterogeneous computing devices and dynamic network topology. Moreover, data intensive workflow execution requires frequent access to database servers for dataflow and control flow operations resulting in massive data transfer. The workflow decomposition and distribution are required to minimize data transfer and to reduce execution delay in mobile distributed systems. This paper proposes a hybrid graph model of workflow in mobile distributed systems relying on dynamic network topology and distributed database in order to facilitate workflow decomposition. The algebraic and numerical analysis of the hybrid graph model is represented providing inherent properties. Furthermore, we have presented an extensive analytical study of existing workflow decomposition approaches and have provided detailed analysis to determine the suitability of these approaches in mobile distributed systems. We have also proposed a novel framework and implementation directions for workflow decomposition based on multiple parameters for mobile distributed systems. (C) 2018 Elsevier B.V. All rights reserved.
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Collections - 공과대학 > Department of Aerospace and Software Engineering > Journal Articles

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