Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm

Taneja, Mohit and Davy, Alan (2017) Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm. In: Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management :. Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management . Institute of Electrical and Electronics Engineers Inc., PRT, pp. 1222-1228. ISBN 9783901882890

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Abstract

With the evolving IoT scenario, computing has spread to the most minuscule everyday activities, leading to a momentous shift in the way applications are developed and deployed. With the volume of impact increasing exponentially, a coherent approach of deploying these applications is critical for an efficient utilization of the network infrastructure. A typical IoT application consists of various modules running together with active interdependencies; traditionally running on the Cloud hosted in global data centres. In this paper, we present a Module Mapping Algorithm for efficient utilization of resources in the network infrastructure by efficiently deploying Application Modules in Fog-Cloud Infrastructure for IoT based applications. With Fog computing into picture, computation is dynamically distributed across the Fog and Cloud layer, and the modules of an application can thus be deployed closer to the source on devices in the Fog layer. The result of this work can serve as a Micro-benchmark in studies/research related with IoT and Fog Computing, and can be used for Quality of Service (QoS) and Service Level Objective benchmarking for IoT applications. The approach is generic, and applies to a wide range of standardized IoT applications over varied network topologies irrespective of load.

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 co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Publisher Copyright: © 2017 IFIP.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700/1705
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:14
Last Modified:	12 Aug 2023 16:05
URI:	http://repository-testing.wit.ie/id/eprint/4804

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