QoS-aware replanning of composite Web services

Canfora, Gerardo; Penta, Massimiliano Di; Esposito, Raffaele; Villani, Maria Luisa

doi:10.1109/icws.2005.96

Cited by 229 publications

(128 citation statements)

References 10 publications

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“…In that case, the service selection is very simple and can be performed at run time by a greedy approach that selects the best candidate service suitable for the execution [33]. More recent solutions support also global constraints [34,21,35,11], adopting a per-request approach. Zeng et al [21], for example, present a global planning approach to select an optimal execution plan by means of integer programming.…”

Section: Related Workmentioning

confidence: 99%

“…Their approach is formulated as an optimization problem handling the whole application instead of each execution path separately. Canfora et al [35] adopt a quite different strategy for optimal selection based on genetic algorithms. An iterative procedure is defined to search for the best solution of a given problem among a constant size population without the need for linearization required by integer programming.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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Abstract. Increasingly complex information systems operating in dynamic environments ask for management policies able to deal intelligently and autonomously with problems and tasks. An attempt to deal with these aspects can be found in the Service-Oriented Architecture (SOA) paradigm that foresees the creation of business applications from independently developed services, where services and applications build up complex dependencies. Therefore the dependability of SOA systems strongly depends on their ability to self-manage and adapt themselves to cope with changes in the operating conditions and to meet the required dependability with a minimum of resources. In this paper we propose a model-based approach to the realization of self-adaptable SOA systems, aimed at the fulfillment of dependability requirements. Specifically, we provide a methodology driving the system adaptation and we discuss the architectural issues related to its implementation. To bring this approach to fruition, we developed a prototype tool and we show the results that can be achieved with a simple example.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

View full text Add to dashboard Cite

show abstract

“…A re-planning triggering algorithm is introduced by Canfora et al [1] to recalculate 130 quality values of a composite service according to the new information at execution time (e.g., actual service qualities, or actual number of loop iterations), and if the new qualities differ considerably from previously estimated ones, execution is stopped and genetic-algorithm-based re-planning is triggered for remaining workflow tasks. A similar execution-time re-planning approach, but based on Integer Programming, is pre-135 sented by Ardagna et al [3].…”

Section: Related Workmentioning

confidence: 99%

Adaptive composition in dynamic service environments

Barakat

Miles

Lück

2018

Future Generation Computer Systems

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Due to distribution, participant autonomy and lack of local control, service-based systems operate in highly dynamic and uncertain environments. In the face of such dynamism and volatility, the ability to manage service changes and exceptions during composite service execution is a vital requirement. Most current adaptive composition approaches, however, fail to address service changes without causing undesirable disruptions in execution or considerably degrading the quality of the composite application. In response, this paper presents a novel adaptive execution approach, which efficiently handles service changes occurring at execution time, for both repair and optimisation purposes. The adaptation is performed as soon as possible and in parallel with the execution process, thus reducing interruption time, increasing the chance of a successful recovery, and producing the most optimal solution according to the current environment state. The effectiveness of the proposed approach is demonstrated both analytically and empirically through a case study evaluation applied in the framework of learning object composition.

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“…It starts by revising the application's unfolded activity diagram represented by a DAG, eliminating the abstract services that belong to conditional branches that were not followed during the execution. Additional constraints can be introduced for those abstract services that were already executed, setting their quality parameters to the values monitored for service invocations (see [4], [60], for further details). In general, these two steps allows to remove some decision variables and abstract services from the reoptimization model, which, in turn, reduces the computational effort required for the re-optimization w.r.t.…”

Section: Run-time Re-optimizationmentioning

confidence: 99%

“…Second generation solutions proposed global approaches [4], [9], [48], [60]- [62]. The set of services which satisfy the process constraints and user preferences for the whole application are identified before executing the process.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Service Selection and Allocation in Situational Computing Applications

Sandionigi

Ardagna

Cugola

et al. 2013

IEEE Trans. Serv. Comput.

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Abstract-This paper describes a novel model for the service selection problem of workflow-based applications in the context of self-managing situated computing. In such systems, the execution environment includes different types of devices, from remote servers to personal notebooks, smartphones, and wireless sensors, which build an infrastructure that can dynamically change both its physical and logical architecture at run-time. We assume that worflows are defined abstractly; i.e., they invoke abstract services whose concrete counterparts can be selected dynamically. We also assume that concrete service implementations may possibly migrate on the nodes of the infrastructure. The selection problem we address is framed as an optimization problem of the quality of service, which evaluates at run-time the optimal binding to concrete services as well as the trade-off between the remote execution of software fragments and their dynamic deployment on local nodes of the computational environment. The final deployment takes into account quality of service constraints, the capabilities of the physical devices involved, including their performance and energy consumption, and the characteristics of the networking links connecting them.

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QoS-aware replanning of composite Web services

Abstract: Abstract

Cited by 229 publications

References 10 publications

Towards Self-adaptation for Dependable Service-Oriented Systems

Towards Self-adaptation for Dependable Service-Oriented Systems

Adaptive composition in dynamic service environments

Optimizing Service Selection and Allocation in Situational Computing Applications

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