The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System
Open accessAbstract
Traditional standalone embedded system is limited in their functionality, flexibility, and scalability. Fog computing platform, characterized by pushing the cloud services to the network edge, is a promising solution to support and strengthen traditional embedded system. Resource management is always a critical issue to the system performance. In this paper, we consider a fog computing supported software-defined embedded system, where task images lay in the storage server while computations can be conducted on either embedded device or a computation server. It is significant to design an efficient task scheduling and resource management strategy with minimized task completion time for promoting the user experience. To this end, three issues are investigated in this paper: 1) how to balance the workload on a client device and computation servers, i.e., task scheduling, 2) how to place task images on storage servers, i.e., resource management, and 3) how to balance the I/O interrupt requests among the storage servers. They are jointly considered and formulated as a mixed-integer nonlinear programming problem. To deal with its high computation complexity, a computation-efficient solution is proposed based on our formulation and validated by extensive simulation based studies.
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Cited by
All one needs to know about fog computing and related edge computing paradigms: A complete survey
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A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
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Resource management approaches in fog computing: a comprehensive review
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Edge-Oriented Computing Paradigms: A Survey on Architecture Design and System Management
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Metadata
- Authors
- Zeng, D., Gu, L., Guo, S., Cheng, Z., & Yu, S.
- Venue
- IEEE Transactions on Computers
- Published
- 2016-12-01
- Volume
- 65
- Issue
- 12
- Pages
- 3702-3712
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2319396036
- Cited by
- 426
- References
- 22
- FWCI
- 52.43
- Type
- journal article
- Language
- en
- Open access
- green
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- Zeng, D., Gu, L., Guo, S., Cheng, Z., & Yu, S. (2016). Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System. IEEE Transactions on Computers. https://doi.org/10.1109/tc.2016.2536019
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