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Journal of Computer Networks and Communications
Volume 2019, Article ID 4109453, 8 pages
https://doi.org/10.1155/2019/4109453
Research Article

A Framework for Risk-Energy Aware Service-Level Agreement Provisioning (RESP) for Computing the Quickest Path

Department of Electronics and Communication, Jaypee University of IT, Solan, India

Correspondence should be addressed to Ashutosh Sharma; moc.liamg@6231hsotuhsaamrahs

Received 31 August 2018; Revised 13 March 2019; Accepted 14 March 2019; Published 6 May 2019

Academic Editor: Juraj Machaj

Copyright © 2019 Ashutosh Sharma and Rajiv Kumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper involved the computation of quickest paths with the help of service-level agreement (SLA) and energy constraints. The consideration of these constraints helps to propose a novel system model which computes the path to strengthen the continuity and criticality of the data transmission. The proposed risk-energy aware SLA provisioning (RESP) system model incorporates the research gaps of the existing risk assessment models in the literature without any increase in time complexity. The formulation of RESP shows the usefulness in the critical applications. The results show that the computation of risk-provisioned path gives the SLA satisfied paths and has a great impact of variations in the data traffic. The performance of the proposed algorithm has been indicated in terms of different performance parameters such as mean paths, average hop counts, and average energy efficiency. Simulation result implies that as data traffic increases, the number of the risk‐provisioned paths decreases whereas corresponding average hop counts and average energy efficiency increases.