Optimizing Decisions in Web Services Orchestrations

Kattepur, Ajay; Benveniste, Albert; Jard, Claude

doi:10.1007/978-3-642-25535-9_6

Cited by 16 publications

(21 citation statements)

References 17 publications

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“…Several works [5][9][7] [12] have proposed methods for optimally choosing a set of web services that have the better technical attributes among the web services available. However, although web service selection is generally made on the basis of such technical criteria, the impacts of a correct or wrong choice may be perceived at the business level.…”

Section: The Trade Off Between Service-levels and Profitabilitymentioning

confidence: 99%

“…Several researches have been conducted to enhance the customer's experience in SOA-based information systems while maintaining reduced costs to the company [4] [5]. Such studies employ a variety of methods for evaluating and improving a service's performance on the basis of quantitative metrics for quality of service (QoS) and customer satisfaction.…”

Section: Introductionmentioning

confidence: 99%

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Computing Strategic Trade-Offs in Web Service Deployment and Selection

Neves

Oliveira

Lima

et al. 2012

2012 IEEE 19th International Conference on Web Services

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The subject of business-IT alignment has increasingly attracted the attention of executives in the past decade. The purpose is to leverage the potential of IT to improve business performance. This goal can be achieved by developing mechanisms to enhance the communication between business and IT. In the same track, its essential to apply methods to assure that IT investments are driven by the strategic goals and priorities of the company. Service-Oriented Architecture (SOA) is widely recognized as a technology that promotes IT alignment and business agility. However, strategic goals of firms have been frequently neglected when dealing with technical subjects such as web service selection and deployment. In this work, we propose a multiple criteria decision method based on the Analytic Hierarchy Process (AHP) that is able to accommodate in a single framework both the technical and the strategic requirements of web service deployment and selection. Our framework help IT managers to find the configuration that best translates the preferences of the customer and the priorities of the company. A numeric case study compares our approach to other traditional uses of AHP.Index Terms-web service selection, web service deployment, IT alignment, quality of service, analytic hierarchy process, business strategy

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Section: The Trade Off Between Service-levels and Profitabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computing Strategic Trade-Offs in Web Service Deployment and Selection

Neves

Oliveira

Lima

et al. 2012

2012 IEEE 19th International Conference on Web Services

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“…There has been work done to model this problem from the web services selection/composition perspective as multidimensional multiple-choice knapsack problem (MMKP) [16], integer/linear programming [2], [17] or with analytic hierarchy process weights [18].…”

Section: Qos Optimal Configurationsmentioning

confidence: 99%

QoS Composition and Analysis in Reconfigurable Web Services Choreographies

Kattepur

Georgantas

Issarny

2013

2013 IEEE 20th International Conference on Web Services

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Abstract-Quality of Service (QoS) in orchestrated web services compositions have been well studied with probabilistic and multi-dimensional models. Choreographies that involve message passing among services, on the other hand, require further analysis. In this paper, we begin with the set of QoS domains that may be studied in case of choreographies and the algebraic rules for their composition. As choreographies manage QoS composition in a distributed fashion, techniques to enrich functional specifications with QoS are examined using the model proposed in the CHOReOS project. These are further analyzed with choreographies that may reconfigure due to functional or QoS requirements. Studies on the effects of such reconfiguration on multiple QoS domains can lead to better understanding of optimal runtime configurations along with associated tradeoffs. A goal programming approach is also proposed to choose Pareto optimal solutions with respect to diverse QoS domains.

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“…An algebraic formulation based on multi-dimensional probabilistic models is proposed in [21] to compose QoS metrics in the case of web services orchestrations. This has been used to support optimization problems for decision making in orchestrations [14]. In our work, we make use of this algebraic framework and provide an extension for the case of heterogeneous choreography QoS composition.…”

Section: Related Workmentioning

confidence: 99%

QoS Analysis in Heterogeneous Choreography Interactions

Kattepur

Georgantas

Issarny

2013

Service-Oriented Computing

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Abstract. With an increasing number of services and devices interacting in a decentralized manner, choreographies are an active area of investigation. The heterogeneous nature of interacting systems leads to choreographies that may not only include conventional services, but also sensor-actuator networks, databases and service feeds. Their middleware behavior within choreographies is captured through abstract interaction paradigms such as client-service, publish-subscribe and tuple space. In this paper, we study these heterogeneous interaction paradigms, connected through an eXtensible Service Bus proposed in the CHOReOS project. As the functioning of such choreographies is dependent on the Quality of Service (QoS) performance of participating entities, an intricate analysis of interaction paradigms and their effect on QoS metrics is needed. We study the composition of QoS metrics in heterogeneous choreographies, and the subsequent tradeoffs. This produces interesting insights such as selection of a particular system and its middleware during design time or end-to-end QoS expectation/guarantees during runtime. Non-parametric hypothesis tests are applied to systems, where QoS dependent services may be replaced at runtime to prevent deterioration in performance.

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Optimizing Decisions in Web Services Orchestrations

Cited by 16 publications

References 17 publications

Computing Strategic Trade-Offs in Web Service Deployment and Selection

Computing Strategic Trade-Offs in Web Service Deployment and Selection

QoS Composition and Analysis in Reconfigurable Web Services Choreographies

QoS Analysis in Heterogeneous Choreography Interactions

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