NDLI: Change-point detection for black-box services

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Change-point detection for black-box services

Content Provider	ACM Digital Library
Author	Tamburrelli, Giordano Ghezzi, Carlo Epifani, Ilenia
Abstract	Modern software systems are increasingly built out of services that are developed, deployed, and operated by independent organizations, which expose them for use by potential clients. Services may be directly invoked by clients. They may also be composed by service integrators, who in turn expose the composite artifact as a new service. Continuous change is typical of this world. Providers may change services and the deployment infrastructure to meet continuously changing requirements and be more competitive. Clients may change their operational profiles. Changes have a severe impact on the quality of services. In this paper we address the problem of identifying changes concerning the non-functional behavior of software services managed by external organizations, and consequently considered as black-box artifacts. We define the concept of change-point and provide a statistical technique aimed at identifying it, given an execution trace produced by client invocations. Change-point detection is key to reasoning about changes, diagnosing their cause, and suitably reacting to their occurrence.
Starting Page	227
Ending Page	236
Page Count	10
File Format	PDF
ISBN	9781605587912
DOI	10.1145/1882291.1882326
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Discrete time markov chains Bayesian theory Performance Reliability
Content Type	Text
Resource Type	Article

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