|
Title
|
|
|
|
Requirements for distributed task placement in the fog
|
|
|
Author
|
|
|
|
|
|
|
Abstract
|
|
|
|
| As the Internet of Things (IoT) paradigm becomes omnipresent, so does fog computing, a paradigm aimed at bringing applications closer to the end devices, aiding in lowering stress over the network and improving latency. However, to efficiently place application tasks in the fog, task placement coordination is needed. We provide a comprehensive research around task placement in the fog and the design of algorithms to solve the placement. We look at the fundamental issue of solving Multi-Objective Optimization problems and treat several techniques for both centralized and distributed coordination. On this we create a Distributed Reconnaissance Ant Colony Optimization algorithm. We review how this research can be used in a smart vehicle environment, and finish validating our proposed algorithm. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
Internet of Things. - -
|
|
|
Publication
|
|
|
|
2020
|
|
|
ISSN
|
|
|
|
2542-6605
|
|
|
DOI
|
|
|
|
10.1016/J.IOT.2020.100237
|
|
|
Volume/pages
|
|
|
|
12
(2020)
, 12 p.
|
|
|
Article Reference
|
|
|
|
100237
|
|
|
ISI
|
|
|
|
000695695600002
|
|
|
Medium
|
|
|
|
E-only publicatie
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|
|
Full text (open access)
|
|
|
|
|
|
|
Full text (publisher's version - intranet only)
|
|
|
|
|
|