Dynamic Web Service Selection for Reliable Web Service Composition

Hwang, San‐Yih; Lim, Ee-Peng; Lee, Chien-Hsiang; Chen, Cheng-Hung

doi:10.1109/tsc.2008.2

Cited by 166 publications

(79 citation statements)

References 23 publications

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“…Existing methodologies for the dependability-oriented self-configuration of SOA systems (e.g., [15,14,16,22,24,49]) consider the whole union of these sets (or some variant of it, depending on the considered redundancy schemes) as the set from which an implementation of a given task should be selected. They basically drive the selection process by identifying within this set the subset of those implementations able to guarantee the required dependability level, and then discriminating among different dependability-equivalent implementations only on the basis of the respective cost (and possibly performance penalty).…”

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%

“…Indeed, most methodologies for the self-configuration of SOA systems are based on an underlying orchestration model, in which the execution of a target composite service requires the selection and runtime binding of a number of concrete implementations for realizing the functionalities of the business process, but these selected implementations do not interact with each other, e.g., [5,15,24,46,47]. On the other hand, in a choreographic environment the participants may be or not willing to rely on a centralized managing entity that may have a global view and therefore chooses the collaborators of each participant.…”

Section: Fig 1 Example Of Adaptation Policymentioning

confidence: 99%

See 2 more Smart Citations

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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Section: Task Implementationmentioning

confidence: 99%

Section: Fig 1 Example Of Adaptation Policymentioning

confidence: 99%

Section: Fig 1 Example Of Adaptation Policymentioning

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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“…This may also be a reason why the travel domain is widely used to illustrate the problem of QoS-aware service selection (cf. Cardellini et al 2007;Chifu et al 2010;Dai et al 2009;Gao et al 2006;Grossmann et al 2011;Guo et al 2007;Hwang et al 2008;Li et al 2010;Li et al 2011;Mei et al 2008;Yang et al 2009;Zeng et al 2008). Second, a documentation of the service candidates and their corresponding QoS values for the QoS attributes response time and price is provided by Canfora et al (2008).…”

Section: Introduction Of a Running Examplementioning

confidence: 99%

Quality-of-Service-Aware Service Selection: A Novel Approach Considering Potential Service Failures and Nondeterministic Service Values

Heinrich

Klier

Lewerenz³

et al. 2015

Service Science

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In service oriented systems, a variety of loosely coupled services are composed to support the execution of processes. One important research question in this context is, how such services can be selected by taking into account the values for the corresponding quality-of-service (QoS) attributes. Existing QoS-aware ex-ante service selection approaches build on preferences and requirements for the QoS attributes and evaluate the available services by means of a utility value. Due to many reasons like software bugs, high server workload or network failures an exante optimal service may temporarily be unavailable or fail during its execution, requiring replanning. Moreover, several QoS attribute values may be stochastic rather than deterministic.Thus, both the ex-post realized QoS values and the corresponding utility may significantly differ from the ex-ante computed ones, incurring a substantial loss of resources. In this paper we present a novel approach for the QoS-aware service selection considering both the effects of potential service failures and non-deterministic QoS values ex-ante. The approach is founded on an expected utility calculus. We find that considering the effects of potential service failures and non-deterministic QoS values leads to substantially better decisions in QoS-aware service selection.

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“…In order to respond to context changes, a contextaware web service has to accommodate for a variety of context types and tune their behaviors dynamically with the changing contexts. Context-aware web services have been attracting significant attention as an important approach to improving the usability of web services [13], [14], [15], [16], [17], [18], [19].…”

mentioning

confidence: 99%

A Novel Process Network Model for Interacting Context-Aware Web Services

Zhang

Liu

Abraham

2013

IEEE Trans. Serv. Comput.

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Abstract-Context-aware web services have been attracting significant attention as an important approach for improving the usability of web services. In this paper, we explore a novel approach to model dynamic behaviors of interacting context-aware web services, aiming to effectively process and take advantage of contexts and realize behavior adaptation of web services and further to facilitate the development of context-aware application of web services. We present an interaction model of context-aware web services based on Context-aware Process Network (CAPN), which is a dataflow and channel based model of cooperative computation. CAPN is extended to context-aware web service network by introducing a kind of sensor processes, which is used to catch contextual data from external environment. Through modeling the register link's behaviors, we present how a web service can respond to its context changes dynamically. The formal behavior semantics of our model is described by Calculus of Communicating Systems (CCS) process algebra. The behavior adaptation and context-awareness in our model are discussed. A XML (eXtensible Markup Language) formatted service behavior description language named BML4WS is designed to describe behaviors and behavior adaptation of interacting context-aware web services. Finally, an application case is demonstrated to illustrate the proposed model how to adapt context changes and describe service behaviours and their changes.

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Dynamic Web Service Selection for Reliable Web Service Composition

Cited by 166 publications

References 23 publications

On Guaranteeing Global Dependability Properties in Collaborative Business Process Management

On Guaranteeing Global Dependability Properties in Collaborative Business Process Management

Quality-of-Service-Aware Service Selection: A Novel Approach Considering Potential Service Failures and Nondeterministic Service Values

A Novel Process Network Model for Interacting Context-Aware Web Services

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