Communications reliability: a historical perspective

Malec, Henry A.

doi:10.1109/24.740549

Cited by 13 publications

(2 citation statements)

References 27 publications

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“…An excellent summary and history of availability measures for communications systems is presented in [10]. Unfortunately it does not delve into the most complex issues on how to obtain various availability measures.…”

Section: Background and Related Workmentioning

confidence: 99%

Empirical estimates of software availability of deployed systems

Mockus¹

2006

Proceedings of the 2006 ACM/IEEE International Symposium on Empirical Software Engineering

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We consider empirical evaluation of the availability of the deployed software. Evaluation of real systems is more realistic, more accurate, and provides higher level of confidence than simulations, testing, or models. We process and model information gathered from a variety of operational and service support systems to obtain estimates of software reliability and availability. The three principal quantities are the total runtime, the number of outages, and the duration of outages. We consider methods to assess the quality of information in customer support systems, discuss advantages and disadvantages of various sources, consider methods to deal with missing data, and ways to construct bounds on measures that are not directly available. We propose a method to assess empirically software availability and reliability based on information from operational customer support and inventory systems and use a case study of a large communications system to investigate factors affecting software reliability. We find large variations among platforms and releases and find the failure rate to vary over time.

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Section: Background and Related Workmentioning

confidence: 99%

Empirical estimates of software availability of deployed systems

Mockus¹

2006

Proceedings of the 2006 ACM/IEEE International Symposium on Empirical Software Engineering

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“…Therefore, survivability consists not only of robustness against failures occurring due to natural faults, accidents, and unintentional operational errors or misconfigurations, but also failures that are induced by malicious attacks[1] [2] [3].…”

Section: Introductionmentioning

confidence: 99%

A novel gravity law-based survivability model for Ad Hoc network

Qin

Mao

et al. 2009

2009 International Conference on Communications, Circuits and Systems

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Network survivability is the capability of a network to provide service in the presence of malicious attacks, system failures, or accidents. This paper surveys the issues and challenges in survivable wireless Ad Hoc network. A novel gravity law-based survivability model for Ad Hoc network is first proposed. The robustness of the wireless node and the gravitation between the nodes are measured. And considering the transfer direction of business data, a correction factor f({}) is introduced. The proposed survivability model and analytical result are validated by simulations results and analysis.

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Reliability Metrics for Routers in IP Networks

Kogan¹

2010

Computer Communications and Networks

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Communications reliability: a historical perspective

Cited by 13 publications

References 27 publications

Empirical estimates of software availability of deployed systems

Empirical estimates of software availability of deployed systems

A novel gravity law-based survivability model for Ad Hoc network

Reliability Metrics for Routers in IP Networks

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