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Distributed Cost-Optimized Placement for Latency-Critical Applications in Heterogeneous Environments
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- Mehta, Amardeep, 1985- (author)
- Umeå universitet,Institutionen för datavetenskap,Distributed Systems
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- Elmroth, Erik (author)
- Umeå universitet,Institutionen för datavetenskap
- (creator_code:org_t)
- IEEE Computer Society, 2018
- 2018
- English.
- In: Proceedings of the IEEE 15th International Conference on Autonomic Computing (ICAC). - : IEEE Computer Society. - 9781538651391 ; , s. 121-130
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Mobile Edge Clouds (MECs) with 5G will create new opportunities to develop latency-critical applications in domains such as intelligent transportation systems, process automation, and smart grids. However, it is not clear how one can costefficiently deploy and manage a large number of such applications given the heterogeneity of devices, application performance requirements, and workloads. This work explores cost and performance dynamics for IoT applications, and proposes distributed algorithms for automatic deployment of IoT applications in heterogeneous environments. Placement algorithms were evaluated with respect to metrics including number of required runtimes, applications’ slowdown, and the number of iterations used to place an application. Iterative search-based distributed algorithms such as Size Interval Actor Assignment in Groups (SIAA G) outperformed random and bin packing algorithms, and are therefore recommended for this purpose. Size Interval Actor Assignment in Groups at Least Utilized Runtime (SIAA G LUR) algorithm is also recommended when minimizing the number of iterations is important. The tradeoff of using SIAA G algorithms is a few extra runtimes compared to bin packing algorithms.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- Mobile Edge Clouds
- Fog Computing
- IoTs
- Distributed algorithms
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- kon (subject category)
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