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Risk-energy aware service level agreement assessment for computing quickest path in computer networks

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  • Ashutosh Sharma
  • Rajiv Kumar

Abstract

In this paper, a new variant of the Quickest Path Problem (QPP) is addressed with additional factors of risk and energy which leads to the evaluation of Risk-Energy Constrained Quickest Path Problem (REQPP) computation. In REQPP, risk is based on lag-time or delay and energy necessary for the transmission between two adjacent nodes. The formulation of this problem presents a realistic path computation for critical applications. The success of REQPP is measured by defining a Service Level Agreement (SLA). The proposed algorithm is able to solve the risk-energy constrained REQPP for the continuity of communication. SLA fulfills the needs of multi-constrained path whereas its time-complexity is of the order of Dijkstra's algorithm. Finally, in the end, variation of penalty time and risk variation helps to find the high-performance value of the allowed delay time toward success of SLA.

Suggested Citation

  • Ashutosh Sharma & Rajiv Kumar, 2019. "Risk-energy aware service level agreement assessment for computing quickest path in computer networks," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 13(1/2), pages 96-124.
    • Handle: RePEc:ids:ijrsaf:v:13:y:2019:i:1/2:p:96-124
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    Cited by:

    1. Xiaogeng Ren & Chunwang Li & Xiaojun Ma & Fuxiang Chen & Haoyu Wang & Ashutosh Sharma & Gurjot Singh Gaba & Mehedi Masud, 2021. "Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings," Sustainability, MDPI, vol. 13(6), pages 1-15, March.

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