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Titlebook: Software Engineering for Resilient Systems; Fourth International Paris Avgeriou Conference proceedings 2012 Springer-Verlag Berlin Heidelbe

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书目名称Software Engineering for Resilient Systems
副标题Fourth International
编辑Paris Avgeriou
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Software Engineering for Resilient Systems; Fourth International Paris Avgeriou Conference proceedings 2012 Springer-Verlag Berlin Heidelbe
描述This book constitutes the refereed proceedings of the Fourth International Workshop on Software Engineering for Resilient Systems, SERENE 2012, held in Pisa, Italy, in September 2012. .The 12 revised full papers were carefully reviewed and selected from numerous submissions. The papers address all aspects of fault tolerance and exception handling, safety modeling, supporting evolution, resilience in service-oriented computing, and applying formal methods in case studies.
出版日期Conference proceedings 2012
关键词Web service; autonomic systems; failure modeling; software architectures; software patterns
版次1
doihttps://doi.org/10.1007/978-3-642-33176-3
isbn_softcover978-3-642-33175-6
isbn_ebook978-3-642-33176-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Software Engineering for Resilient Systems978-3-642-33176-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Conference proceedings 2012n Pisa, Italy, in September 2012. .The 12 revised full papers were carefully reviewed and selected from numerous submissions. The papers address all aspects of fault tolerance and exception handling, safety modeling, supporting evolution, resilience in service-oriented computing, and applying formal methods in case studies.
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FAS: Introducing a Service for Avoiding Faults in Composite Servicesrespect to the monitoring frequency of FAS for different partner service availabilities. We also provide empirical results regarding these metrics based on several tests we performed using the Amazon Elastic Compute Cloud.
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