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...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of supercomputing Vol. 78; no. 2; pp. 1983 - 2014
Main Authors: Gasmi, Kaouther, Dilek, Selma, Tosun, Suleyman, Ozdemir, Suat
Format: Journal Article
Language:English
Published: New York Springer US 01.02.2022
Springer Nature B.V
Subjects:
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
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-021-03941-y