Publication
Title
Distributed uniform streaming framework : an elastic fog computing platform for event stream processing and platform transparency
Author
Abstract
The increase of Internet of Things devices and the rise of more computationally intense applications presents challenges for future Internet of Things architectures. We envision a future in which edge, fog, and cloud devices work together to execute future applications. Because the entire application cannot run on smaller edge or fog devices, we will need to split the application into smaller application components. These application components will send event messages to each other to create a single application from multiple application components. The execution location of the application components can be optimized to minimize the resource consumption. In this paper, we describe the Distributed Uniform Stream (DUST) framework that creates an abstraction between the application components and the middleware which is required to make the execution location transparent to the application component. We describe a real-world application that uses the DUST framework for platform transparency. Next to the DUST framework, we also describe the distributed DUST Coordinator, which will optimize the resource consumption by moving the application components to a different execution location. The coordinators will use an adapted version of the Contract Net Protocol to find local minima in resource consumption.
Language
English
Source (journal)
Future Internet
Publication
2019
ISSN
1999-5903
DOI
10.3390/FI11070158
Volume/pages
11 :7 (2019) , 14 p.
Article Reference
158
ISI
000478637600021
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
A Methodology for Analysis and Optimization of Distributed Artificial Intelligence.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 25.07.2019
Last edited 30.12.2024
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