Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control

Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that cannot be run in such devices. This problem is fixed by Edge Cloud Computing, where the users offload tasks they cannot run to cloudlet serve...

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Vydáno v:	IEEE transactions on computers Ročník 66; číslo 5; s. 810 - 819
Hlavní autoři:	Rodrigues, Tiago Gama, Suto, Katsuya, Nishiyama, Hiroki, Kato, Nei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.05.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Batteries Cloud computing cloudlet Delay Delays Edge cloud computing Electronic devices Memory devices Mobile handsets Power control Process control Proposals resource management Servers service delay minimization transmission power control Virtual environments virtualization
ISSN:	0018-9340, 1557-9956
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Abstract	Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that cannot be run in such devices. This problem is fixed by Edge Cloud Computing, where the users offload tasks they cannot run to cloudlet servers in the edge of the network. The main requirement of such a system is having a low Service Delay, which would correspond to a high Quality of Service. This paper presents a method for minimizing Service Delay in a scenario with two cloudlet servers. The method has a dual focus on computation and communication elements, controlling Processing Delay through virtual machine migration and improving Transmission Delay with Transmission Power Control. The foundation of the proposal is a mathematical model of the scenario, whose analysis is used on a comparison between the proposed approach and two other conventional methods; these methods have single focus and only make an effort to improve either Transmission Delay or Processing Delay, but not both. As expected, the proposal presents the lowest Service Delay in all study cases, corroborating our conclusion that a dual focus approach is the best way to tackle the Service Delay problem in Edge Cloud Computing.
AbstractList	Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that cannot be run in such devices. This problem is fixed by Edge Cloud Computing, where the users offload tasks they cannot run to cloudlet servers in the edge of the network. The main requirement of such a system is having a low Service Delay, which would correspond to a high Quality of Service. This paper presents a method for minimizing Service Delay in a scenario with two cloudlet servers. The method has a dual focus on computation and communication elements, controlling Processing Delay through virtual machine migration and improving Transmission Delay with Transmission Power Control. The foundation of the proposal is a mathematical model of the scenario, whose analysis is used on a comparison between the proposed approach and two other conventional methods; these methods have single focus and only make an effort to improve either Transmission Delay or Processing Delay, but not both. As expected, the proposal presents the lowest Service Delay in all study cases, corroborating our conclusion that a dual focus approach is the best way to tackle the Service Delay problem in Edge Cloud Computing.
Author	Nishiyama, Hiroki Suto, Katsuya Kato, Nei Rodrigues, Tiago Gama
Author_xml	– sequence: 1 givenname: Tiago Gama surname: Rodrigues fullname: Rodrigues, Tiago Gama email: tiago.gama.rodrigues@it.is.tohoku.ac.jp organization: Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan – sequence: 2 givenname: Katsuya surname: Suto fullname: Suto, Katsuya email: k.suto.jp@ieee.org organization: Univ. of Waterloo, Waterloo, ON, Canada – sequence: 3 givenname: Hiroki surname: Nishiyama fullname: Nishiyama, Hiroki email: bigtree@it.is.tohoku.ac.jp organization: Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan – sequence: 4 givenname: Nei surname: Kato fullname: Kato, Nei email: nei.kato@it.is.tohoku.ac.jp organization: Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
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Snippet	Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that...
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SubjectTerms	Batteries Cloud computing cloudlet Delay Delays Edge cloud computing Electronic devices Memory devices Mobile handsets Power control Process control Proposals resource management Servers service delay minimization transmission power control Virtual environments virtualization
Title	Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control
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