A framework for QoS-aware binding and re-binding of composite web services

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

doi:10.1016/j.jss.2007.12.792

Cited by 256 publications

(176 citation statements)

References 21 publications

(34 reference statements)

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“…heuristic techniques (e.g. Alrifai et al, 2012; Canfora, Di Penta, Esposito, & Villani, 2008; Lewerenz, 2015) could be developed for our approach to consider IUR and context information in terms of multi-user processes. In addition, we focused on sequential processes.…”

Section: Conclusion Limitations and Further Researchmentioning

confidence: 99%

Service selection in mobile environments: considering multiple users and context-awareness

Heinrich

Mayer

2018

Journal of Decision Systems

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In mobile environments, users often need to coordinate their actions with other users with regard to user-individual context information like current location when selecting suitable services for a process. Thereby, some users may prefer to conduct particular services together with certain other users. Such multi-user context-aware service selections could result in complex decision problems – making decision support for the participating users highly valuable or even necessary. To do so, we propose an optimisation-based service selection approach for multi-user context-aware processes. We also show how our approach provides decision support by evaluating its efficacy based on a real-world scenario.

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Section: Conclusion Limitations and Further Researchmentioning

confidence: 99%

Service selection in mobile environments: considering multiple users and context-awareness

Heinrich

Mayer

2018

Journal of Decision Systems

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“…Several existing methodologies only consider implementations consisting of a single service provided by some CBP participant ( [5,10,12,35,46,47]). In this case, the set of possible implementations for a given task corresponds to the set of functionally equivalent services implementing that task, provided by the (candidate) CBP participants.…”

Section: Task Implementationmentioning

confidence: 99%

“…Depending on the considered utilization scenario, we point out that solving this model corresponds to solving an integer programming optimization problem (for the single request scenario), or a linear programming optimization problem (for the flow of requests scenario). This model (or variants of it) underlies most of the proposed methodologies for the selfconfiguration of SOA systems [5,12,15,14,24,46,47,50]. These methodologies differ in the proposed solution techniques (in particular for the single request scenario, where heuristics are often proposed to cope with the NP-hard nature of integer programming), and in the way the model parameters (e.g., Q α and Q β matrices) are calculated, that basically depends on the considered QoS metrics, composition rules for the CBP tasks, and redundancy schemes.…”

Section: Fig 1 Example Of Adaptation Policymentioning

confidence: 99%

“…Methodologies to assess the QoS of a SOA system and to drive its selfconfiguration have been already presented. Some of them specifically focus on the fulfillment of dependability requirements (e.g., [22,49]), while others consider multiple QoS attributes including dependability (e.g., [5,10,12,15,14,35,46,47]). Most of these methodologies base the selfconfiguration on the runtime selection for each CBP task of a single service that implements it, to which that task will be dynamically bound.…”

Section: Introductionmentioning

confidence: 99%

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On Guaranteeing Global Dependability Properties in Collaborative Business Process Management

Cardellini

Casalicchio

Grassi

et al. 2012

Business System Management and Engineering

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Abstract. The Service-Oriented Architecture (SOA) paradigm supports a collaborative business model, where business applications are built from independently developed services, and services and applications build up complex dependencies. Guaranteeing high dependability levels in such complex environment is a key factor for the success of this model. In this chapter we discuss issues concerning the design of such software systems, evidencing the limits of the proposed approaches, and suggesting directions for advancements in this field. Moreover, we also discuss issues concerning the case of self-adaptive SOA systems, whose goal is to selfconfigure themselves, to cope with changes in the operating conditions and to meet the required dependability with a minimum of resources.

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“…As we mentioned, the former dimension is typical of modern pervasive scenarios, which involve mobile users, mobile devices, wireless networks, and complex interactions schemas, which change frequently at run-time. It asks for solutions that easily accommodate the need for re-optimization as significant changes occur [9]. The latter dimension allows the choice of two alternative ways of executing a service.…”

mentioning

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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A framework for QoS-aware binding and re-binding of composite web services

Cited by 256 publications

References 21 publications

Service selection in mobile environments: considering multiple users and context-awareness

Service selection in mobile environments: considering multiple users and context-awareness

On Guaranteeing Global Dependability Properties in Collaborative Business Process Management

Optimizing Service Selection and Allocation in Situational Computing Applications

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