Context modeling and constraints binding in web service business processes

Bandara, Kosala Yapa; Wang, Mingxue; Pahl, Claus

doi:10.1145/1595768.1595780

Cited by 8 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These datatype properties are used to keep track of context information. Since dynamic adaptations are triggered when a particular SLA is at risk, datatype properties keep information about qualitative properties in the QoS context category proposed by (Bandara et al, 2009). In (Bandara et al, 2009), dynamically relevant qualitative properties in the QoS context category are organized into the following four groups based on the type of measurement performed by each attribute: runtime attributes such as availability and performance, financial/business attributes such as execution cost, security attributes such as non-repudiation, and trust attributes such as good reputation of service operations.…”

Section: 1: Define Context Conditionsmentioning

confidence: 99%

“…A reconfiguration plan can be generated with the discovered services (using for example Artificial Intelligence (Moore et al, 2008)). We use an ontology to realize if arising context events can cause dynamic adaptations (similarly to (Bandara et al, 2009)). However, discovering Web service operations at runtime falls outside the current view of our approach.…”

Section: Dynamic Adaptation Of Service Compositionsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic adaptation of service compositions with variability models

Alférez

Pelechano

Mazo

et al. 2014

Journal of Systems and Software

109

View full text Add to dashboard Cite

Web services run in complex contexts where arising events may compromise the quality of the whole system. Thus, it is desirable to count on autonomic mechanisms to guide the self-adaptation of service compositions according to changes in the computing infrastructure. One way to achieve this goal is by implementing variability constructs at the language level. However, this approach may become tedious, difficult to manage, and error-prone. In this paper, we propose a solution based on a semantically rich variability model to support the dynamic adaptation of service compositions. When a problematic event arises in the context, this model is leveraged for decision-making. The activation and deactivation of features in the variability model result in changes in a composition model that abstracts the underlying service composition. These changes are reflected into the service composition by adding or removing fragments of Business Process Execution Language (WS-BPEL) code, which can be deployed at runtime. In order to reach optimum adaptations, the variability model and its possible configurations are verified at design time using Constraint Programming. An evaluation demonstrates several benefits of our approach, both at design time and at runtime.

show abstract

Section: 1: Define Context Conditionsmentioning

confidence: 99%

Section: Dynamic Adaptation Of Service Compositionsmentioning

confidence: 99%

Dynamic adaptation of service compositions with variability models

Alférez

Pelechano

Mazo

et al. 2014

Journal of Systems and Software

109

View full text Add to dashboard Cite

show abstract

“…Dynamic service context aspects contribute to effective composition and coordination [3]. Service matching and service selection approaches support process design-time validation for service-based applications [37].…”

Section: The Need For Service Process Contextualisationmentioning

confidence: 99%

An extended ontology-based context model and manipulation calculus for dynamic Web service processes

Bandara

Wang

Pahl

2013

SOCA

Self Cite

View full text Add to dashboard Cite

Services are offered in an execution context that is determined by how a provider provisions the service and how the user consumes it. The need for more flexibility requires the provisioning and consumption aspects to be addressed at runtime. We propose an ontology-based context model providing a framework for service provisioning and consumption aspects and techniques for managing context constraints for Web service processes where dynamic context concerns can be monitored and validated at service process run-time.We discuss the contextualization of dynamically relevant aspects of Web service processes as our main goal, i.e. capture aspects in an extended context model. The technical contributions of this paper are a context model ontology for dynamic service contexts and an operator calculus for integrated and coherent context manipulation, composition and reasoning. The context model ontology formalizes dynamic aspects of Web services and facilitates reasoning. We present the context ontology in terms of four core dimensions -functional, QoS, domain and platform -which are internally interconnected.

show abstract

“…Regulations apply for instance with respect the identification and description of business entities or the way processes are handled [17,26]. Furthermore, regulatory locale aspects like tax, currencies and units need to be addressed [4,24].…”

Section: Regulatory Localisation and Governancementioning

confidence: 99%

“…In a similar context, service/process instrumentation is used to add enhanced processing abilities, but as for data integration and adaption, our focus on lingual and regulatory concerns within a rule-based framework is new. Context-awareness of services is a direction that has been covered by a range of contributions [4]. The notion of context is similar to that of locales, reflecting properties of the execution or client environment.…”

Section: Related Workmentioning

confidence: 99%

Cloud Service Localisation

Pahl

2012

Service-Oriented and Cloud Computing

Self Cite

View full text Add to dashboard Cite

Abstract. The essence of cloud computing is the provision of software and hardware services to a range of users in different locations. The aim of cloud service localisation is to facilitate the internationalisation and localisation of cloud services by allowing their adaption to different locales. We address the lingual localisation by providing service-level language translation techniques to adopt services to different languages and regulatory localisation by providing standards-based mappings to achieve regulatory compliance with regionally varying laws, standards and regulations. The aim is to support and enforce the explicit modelling of aspects particularly relevant to localisation and runtime support consisting of tools and middleware services to automating the deployment based on models of locales, driven by the two localisation dimensions. We focus here on an ontology-based conceptual information model that integrates locale specification in a coherent way.

show abstract

Context modeling and constraints binding in web service business processes

Cited by 8 publications

References 11 publications

Dynamic adaptation of service compositions with variability models

Dynamic adaptation of service compositions with variability models

An extended ontology-based context model and manipulation calculus for dynamic Web service processes

Cloud Service Localisation

Contact Info

Product

Resources

About