A survey on computation offloading and service placement in fog computing-based IoT

In recent years, fog computing has emerged as a computing paradigm to support the computationally intensive and latency-critical applications for resource limited Internet of Things (IoT) devices. The main feature of fog computing is to push computation, networking, and storage facilities closer to...

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Vydáno v:	The Journal of supercomputing Ročník 78; číslo 2; s. 1983 - 2014
Hlavní autoři:	Gasmi, Kaouther, Dilek, Selma, Tosun, Suleyman, Ozdemir, Suat
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2022 Springer Nature B.V
Témata:	Cloud computing Compilers Computation offloading Computer Science Internet of Things Interpreters Network latency Placement Processor Architectures Programming Languages Storage facilities Fog computing Optimization algorithms Internet of Things (IoT) Computation offloading Service placement
ISSN:	0920-8542, 1573-0484
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Abstract	In recent years, fog computing has emerged as a computing paradigm to support the computationally intensive and latency-critical applications for resource limited Internet of Things (IoT) devices. The main feature of fog computing is to push computation, networking, and storage facilities closer to the network edge. This enables IoT user equipment (UE) to profit from the fog computing paradigm by mainly offloading their intensive computation tasks to fog resources. Thus, computation offloading and service placement mechanisms can overcome the resource constraints of IoT devices, and improve the system performance in terms of increasing battery lifetime of UE and reducing the total delay. In this paper, we survey the current research conducted on computation offloading and service placement in fog computing-based IoT in a comparative manner.
AbstractList	In recent years, fog computing has emerged as a computing paradigm to support the computationally intensive and latency-critical applications for resource limited Internet of Things (IoT) devices. The main feature of fog computing is to push computation, networking, and storage facilities closer to the network edge. This enables IoT user equipment (UE) to profit from the fog computing paradigm by mainly offloading their intensive computation tasks to fog resources. Thus, computation offloading and service placement mechanisms can overcome the resource constraints of IoT devices, and improve the system performance in terms of increasing battery lifetime of UE and reducing the total delay. In this paper, we survey the current research conducted on computation offloading and service placement in fog computing-based IoT in a comparative manner.
Author	Ozdemir, Suat Dilek, Selma Tosun, Suleyman Gasmi, Kaouther
Author_xml	– sequence: 1 givenname: Kaouther surname: Gasmi fullname: Gasmi, Kaouther organization: Higher Institute of Applied Languages and Computer Sciences in Beja – sequence: 2 givenname: Selma surname: Dilek fullname: Dilek, Selma organization: Graduate School of Science and Engineering, Hacettepe University – sequence: 3 givenname: Suleyman orcidid: 0000-0002-3708-2009 surname: Tosun fullname: Tosun, Suleyman email: stosun@cs.hacettepe.edu.tr organization: Department of Computer Engineering, Hacettepe University – sequence: 4 givenname: Suat surname: Ozdemir fullname: Ozdemir, Suat organization: Department of Computer Engineering, Hacettepe University
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Keywords	Fog computing Optimization algorithms Internet of Things (IoT) Computation offloading Service placement
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Snippet	In recent years, fog computing has emerged as a computing paradigm to support the computationally intensive and latency-critical applications for resource...
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SubjectTerms	Cloud computing Compilers Computation offloading Computer Science Internet of Things Interpreters Network latency Placement Processor Architectures Programming Languages Storage facilities
Title	A survey on computation offloading and service placement in fog computing-based IoT
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