Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach

Leonardo Bartoloni; Antonio Brogi; Ahmad Ibrahim

doi:10.1007/978-3-662-45391-9_27

Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach

Leonardo Bartoloni, Antonio Brogi, Ahmad Ibrahim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

The ability to a priori predict the QoS of a service orchestration is of pivotal importance for both the design of service compositions and the definition of their SLAs. QoS prediction is challenging because the results of service invocations is not known a priori. In this paper we present an algorithm to probabilistically predict the QoS of a WS-BPEL service orchestration. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations.

Original language	English
Title of host publication	International Conference on Service-Oriented Computing
Subtitle of host publication	ICSOC 2014: Service-Oriented Computing
Publisher	Springer
Pages	378-385
Number of pages	8
Volume	8831
ISBN (Electronic)	978-3-662-45391-9
ISBN (Print)	978-3-662-45390-2
DOIs	https://doi.org/10.1007/978-3-662-45391-9_27
Publication status	Published - 2014

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10.1007/978-3-662-45391-9_27

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title = "Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach",

abstract = "The ability to a priori predict the QoS of a service orchestration is of pivotal importance for both the design of service compositions and the definition of their SLAs. QoS prediction is challenging because the results of service invocations is not known a priori. In this paper we present an algorithm to probabilistically predict the QoS of a WS-BPEL service orchestration. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations.",

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Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach. / Bartoloni, Leonardo; Brogi, Antonio; Ibrahim, Ahmad.
International Conference on Service-Oriented Computing: ICSOC 2014: Service-Oriented Computing. Vol. 8831 Springer, 2014. p. 378-385.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Bartoloni, Leonardo

AU - Brogi, Antonio

AU - Ibrahim, Ahmad

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N2 - The ability to a priori predict the QoS of a service orchestration is of pivotal importance for both the design of service compositions and the definition of their SLAs. QoS prediction is challenging because the results of service invocations is not known a priori. In this paper we present an algorithm to probabilistically predict the QoS of a WS-BPEL service orchestration. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations.

AB - The ability to a priori predict the QoS of a service orchestration is of pivotal importance for both the design of service compositions and the definition of their SLAs. QoS prediction is challenging because the results of service invocations is not known a priori. In this paper we present an algorithm to probabilistically predict the QoS of a WS-BPEL service orchestration. Our algorithm employs Monte Carlo simulations and it improves previous approaches by coping with complex dependency structures, unbound loops, fault handling, and unresponded service invocations.

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DO - 10.1007/978-3-662-45391-9_27

M3 - Conference contribution

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VL - 8831

SP - 378

EP - 385

BT - International Conference on Service-Oriented Computing

PB - Springer

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Probabilistic prediction of the QoS of service orchestrations: a truly compositional approach

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