Software Reliability Growth Modelling Framework to Study SDN Controllers

Author:

Anand Adarsh1,Gupta Priyanka1,Chhipa Mayur Kumar2,Mellal Mohamed Arezki3,Johri Prashant4

Affiliation:

1. University of Delhi

2. ISBAT University

3. LMSS, M'Hamed Bougara University

4. Galgotias University

Abstract

Abstract SDN, as an emerging centralized network control platform, has been studied widely by many researchers. To make this complex and fine-grained network platform more reliable and secure, the need to understand its fault debugging pattern was observed. The testing phase of the software has undoubtedly been considered as a crucial phase that ensures high quality network architecture to its users. The pre-release testing activities are solely conducted by the testers where the debugging process after its release comprises both testers and users. The study of the joint role of testers and users has been devoid in the field of network systems. This paper methodically models the complete testing profile (before and after release) of the SDN Controller. The two-staged modeling process is utilized to model the detection and resolution of network faults after its release in which the joint debugging activities of testers and users are catered with the help of Stieltjes convolution. The two-stage model addresses the release point transition. The proposal has been validated on two real life failure data sets. The validation shows promising results.

Publisher

Research Square Platform LLC

Reference43 articles.

1. Cooperative wireless communications and physical layer security: State-of-the-art;Rohokale VM;Journal of Cyber Security and Mobility,2012

2. Handigol, N., Heller, B., Jeyakumar, V., Maziéres, D., & McKeown, N. (2012, August). Where is the debugger for my software-defined network?. In Proceedings of the first workshop on Hot topics in software defined networks (pp. 55–60).

3. Analysis of Latency, Blocking Probability and Network Utilization for a Specific Routing and Spectrum Assignment Algorithm, in Elastic Optical Networks;Kocevska T;Acta Polytechnica Hungarica,2020

4. Reliability as Key Software Quality Metric: A Multi-Criterion intuitionistic Fuzzy-Topsis-Based analysis;Gupta P;International Journal of Reliability, Quality and Safety Engineering,2021

5. Software-defined network function virtualization: A survey;Li Y;IEEE Access,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3