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Timing Failures Detection in Web Services

Authors: Nuno Laranjeiro; Marco Vieira; Henrique Madeira;

Timing Failures Detection in Web Services

Abstract

Current business critical environments increasingly rely on SOA standards to execute business operations. These operations are frequently based on Web service compositions that use several Web services over the internet and have to fulfill specific timing constraints. In these environments, an operation that does not conclude in due time may have a high cost as it can easily turn into service abandonment with financial and prestige losses to the service provider. In fact, at certain points, carrying on with the execution of an operation may be useless as a timely response will be impossible to obtain. This paper proposes a time-aware programming model for Web services that provides transparent timing failure detection. The paper illustrates the proposed model using a set of services specified by the TPC-App performance benchmark.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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