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Issue No.01 - Jan.-Feb. (2015 vol.8)
pp: 32-46
Subrota K. Mondal , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong
Xiaoyan Yin , Department of Electrical and Computer Engineering, Duke University, Durham, United States
Jogesh K. Muppala , Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong
Javier Alonso Lopez , Department of Electrical and Computer Engineering, Duke University, Durham, United States
Kishor S. Trivedi , Department of Electrical and Computer Engineering, Duke University, Durham, United States
ABSTRACT
Traditional system-oriented dependability metrics like reliability and availability do not fully reflect the impact of system failure-repair behavior in service-oriented environments. The telecommunication systems community prefers to use Defects Per Million (DPM), defined as the number of calls dropped out of a million calls due to failures, as a user-perceived dependability metric. In this paper, we provide new formulation for the computation of the DPM metric for a system supporting Voice over IP functionality using the Session Initiation Protocol (SIP). We evaluate different replication schemes that can be used at the SIP application server. They include the effects of software failure, failure detection, recovery mechanisms, and imperfect coverage for recovery mechanisms. We derive closed-form expressions for the DPM taking into account the transient behavior of recovery after a failure. Our approach and underlying models can be readily extended to other types of service-oriented environments.
INDEX TERMS
Servers, Availability, Measurement, Mathematical model, Computational modeling, Equations,replication, Session initiation protocol, fault tolerance, user-perceived service reliability, defects per million
CITATION
Subrota K. Mondal, Xiaoyan Yin, Jogesh K. Muppala, Javier Alonso Lopez, Kishor S. Trivedi, "Defects per Million Computation in Service-Oriented Environments", IEEE Transactions on Services Computing, vol.8, no. 1, pp. 32-46, Jan.-Feb. 2015, doi:10.1109/TSC.2013.52
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