Poster abstract : Resource aware placement of data stream analytics operators on fog infrastructure for internet of things applications

Taneja, Mohit and Davy, Alan (2016) Poster abstract : Resource aware placement of data stream analytics operators on fog infrastructure for internet of things applications. In: Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 :. Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 . Institute of Electrical and Electronics Engineers Inc., USA, pp. 113-114. ISBN 9781509033218

Full text not available from this repository. (Request a copy)

Abstract

While cloud computing led the path towards a revolutionary change in the modern day computing aspects, further developments gave way to the Internet of Things and its own range of highly interactive applications. While such a paradigm is more distributed in reach, it also brings forth its own set of challenges in the form of latency sensitive applications, where a quick response highly contributes to efficient usage and QoS (Quality of Service). Fog computing, which is the answer to all such challenges, is rapidly changing the distributed computing landscape by extending the cloud computing paradigm to include widespread resources located at the network edge. While the fog paradigm makes use of edge-ward devices capable of computing, networking and storage, one of the key impending challenges is to determine where to place the data analytic operators for maximum efficiency and least costs for the network and its traffic, the efficient algorithmic solution to which we seek to propose by way of this work underway.

Item Type:	Book Section
Additional Information:	Funding Information: This work has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is cofunded under the European Regional Development Fund under Grant Number 13/RC/2077. Publisher Copyright: © 2016 IEEE.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1705
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:14
Last Modified:	07 Jun 2023 18:37
URI:	http://repository-testing.wit.ie/id/eprint/4765

Actions (login required)

View Item