NDLI: Towards Data-Aware QoS-driven Adaptation for Service Orchestrations

Content Provider	IEEE Xplore Digital Library
Author	Ivanovic, D. Carro, M. Hermenegildo, M.
Copyright Year	2010
Abstract	Several activities in service oriented computing can benefit from knowing properties of a given service composition ahead of time. We will focus here on properties related to computational cost and resource usage, in a wide sense, as they can be linked to QoS characteristics. In order to attain more accuracy, we formulate computational cost / resource usage as functions on input data (or appropriate abstractions thereof) and show how these functions can be used to make more informed decisions when performing composition, proactive adaptation, and predictive monitoring. We present an approach to, on one hand, automatically synthesize these functions from orchestrations and, on the other hand, to effectively use them to increase the quality of non-trivial service-based systems with data-dependent behavior. We validate our approach by means of simulations with runtime selection of services and adaptation due to service failure.
Starting Page	107
Ending Page	114
File Size	638765
Page Count	8
File Format	PDF
ISBN	9781424481460
DOI	10.1109/ICWS.2010.73
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational efficiency Quality of service Approximation methods Monitoring Availability Adaptation model Estimation adaptation orchestrations resource usage analysis data awareness monitoring
Content Type	Text
Resource Type	Article

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