Joint Wireless and Edge Computing Resource Management With Dynamic Network Slice Selection

Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing system under network slicing in which the wireless devices generate latency sensitive computational tasks. We address the problem of joint d...

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Published in:	IEEE/ACM transactions on networking Vol. 30; no. 4; pp. 1865 - 1878
Main Authors:	Josilo, Sladana, Dan, Gyorgy
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation Approximation algorithms Completion time Computation offloading Computational modeling Computational modelling Computer games Decentralized algorithm decentralized algorithms Edge computing game theory Heuristic algorithms Heuristics algorithm Job analysis Mathematical analysis Mixed integer Mobile edge computing Natural resources management Network latency Network slicing resource allocation Resource management Resources allocation Task analysis Wireless communication Wireless communications
ISSN:	1063-6692, 1558-2566, 1558-2566
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Abstract	Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing system under network slicing in which the wireless devices generate latency sensitive computational tasks. We address the problem of joint dynamic assignment of computational tasks to slices, management of radio resources across slices and management of radio and computing resources within slices. We formulate the Joint Slice Selection and Edge Resource Management (JSS-ERM) problem as a mixed-integer problem with the objective to minimize the completion time of computational tasks. We show that the JSS-ERM problem is NP-hard and develop an approximation algorithm with bounded approximation ratio based on a game theoretic treatment of the problem. We use extensive simulations to provide insight into the performance of the proposed solution from the perspective of the whole system and from the perspective of individual slices. Our results show that the proposed slicing policy can achieve significant gains compared to the equal slicing policy, and that the computational complexity of the proposed task placement algorithm is approximately linear in the number of devices.
AbstractList	Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing system under network slicing in which the wireless devices generate latency sensitive computational tasks. We address the problem of joint dynamic assignment of computational tasks to slices, management of radio resources across slices and management of radio and computing resources within slices. We formulate the Joint Slice Selection and Edge Resource Management (JSS-ERM) problem as a mixed-integer problem with the objective to minimize the completion time of computational tasks. We show that the JSS-ERM problem is NP-hard and develop an approximation algorithm with bounded approximation ratio based on a game theoretic treatment of the problem. We use extensive simulations to provide insight into the performance of the proposed solution from the perspective of the whole system and from the perspective of individual slices. Our results show that the proposed slicing policy can achieve significant gains compared to the equal slicing policy, and that the computational complexity of the proposed task placement algorithm is approximately linear in the number of devices. Network slicing is a promising approach for enabling low latency computation offloading in edge computing systems. In this paper, we consider an edge computing system under network slicing in which the wireless devices generate latency sensitive computational tasks. We address the problem of joint dynamic assignment of computational tasks to slices, management of radio resources across slices and management of radio and computing resources within slices. We formulate the Joint Slice Selection and Edge Resource Management (JSS-ERM) problem as a mixed-integer problem with the objective to minimize the completion time of computational tasks. We show that the JSS-ERM problem is NP-hard and develop an approximation algorithm with bounded approximation ratio based on a game theoretic treatment of the problem. We use extensive simulations to provide insight into the performance of the proposed solution from the perspective of the whole system and from the perspective of individual slices. Our results show that the proposed slicing policy can achieve significant gains compared to the equal slicing policy, and that the computational complexity of the proposed task placement algorithm is approximately linear in the number of devices.
Author	Josilo, Sladana Dan, Gyorgy
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References	ref13 ref12 ref15 ref14 ref11 ref10 ref17 ref16 Kekki (ref2) 2018 ref19 ref18 Zaidi (ref26) 2018 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 Redana (ref6) 2020 ref49 (ref25) 2011 ref8 ref7 ref9 ref4 ref3 Garey (ref21) 1990 ref5 ref40 Saunders (ref24) 2007 ref35 Lauridsen (ref27) 2014; 18 ref37 ref36 ref30 ref33 ref32 ref1 ref39 ref38 ref23 ref20 ref22 Takefuji (ref31) 2017 (ref34) 2021 ref28 ref29
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SubjectTerms	Algorithms Approximation Approximation algorithms Completion time Computation offloading Computational modeling Computational modelling Computer games Decentralized algorithm decentralized algorithms Edge computing game theory Heuristic algorithms Heuristics algorithm Job analysis Mathematical analysis Mixed integer Mobile edge computing Natural resources management Network latency Network slicing resource allocation Resource management Resources allocation Task analysis Wireless communication Wireless communications
Title	Joint Wireless and Edge Computing Resource Management With Dynamic Network Slice Selection
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