wsBus: QoS-Aware Middleware for Reliable Web Services Interactions

Erradi, Abdelkarim; Maheshwari, Piyush

doi:10.1109/eee.2005.148

Cited by 37 publications

(22 citation statements)

References 8 publications

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“…A different approach, based on a middleware that supports reliable Web Services built on active replication has been proposed in [40]. Similarly, Erradi et al [41] propose a lightweight service-oriented middleware for transparently enacting recovery action in service-based processes; and Charfi et al [42] use an aspect-based container to provide middleware support for BPEL that plugs in support for non-functional requirements. Chen et al [43] construct composite services resilient to various failure types using inherent redundancy and diversity of Web Service components jointly with mediator approach.…”

Section: Related Workmentioning

confidence: 99%

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%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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“…Finally, Erradi et al [38] provide reliability through a policy driven middleware named Web Services Message Bus (wsBus), which is used to transparently enact recovery actions. The wsBus intercepts the execution of composite services and transparently provides recovery services based on an extensible set of recovery policies (e.g., retry, skip, and use equivalent service).…”

Section: Related Workmentioning

confidence: 99%

A Proxy-Based Approach to Enhancing the Autonomic Behavior in Composite Services

Ezenwoye¹,

Sadjadi²

2008

JNW

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Abstract-Web services paradigm is allowing applications to electronically interact with one another over the Internet. The business process execution language (BPEL) takes this interaction to a higher level of abstraction by enabling the development of aggregate Web services. However, the autonomous and distributed nature of the partner services in an aggregate Web service present unique challenges to the reliability of the composite services. In this paper, we present an approach where existing BPEL processes are automatically instrumented, so that when one or more of their partner services do not provide satisfactory service (e.g., because of a service being overwhelmed, crashed, or because of a network outage), the request for service is redirected to a proxy Web service, where the failed or slow services are replaced by substitute services.

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“…In contrast to our approach, which addresses the reasoning of dynamic adaptation of service compositions through models, at both design time and runtime, several research covers self-adaptations only at runtime through implementation mechanisms (Erradi and Maheshwari, 2005, Cardellini et al, 2010, Mosincat and Binder, 2008.…”

Section: Dynamic Adaptation Of Service Compositionsmentioning

confidence: 99%

“…This approach can hinder reasoning about adaptations with complex and error-prone scripts ). The second group focuses on low-level implementation mechanisms for self-adaptation (Erradi and Maheshwari, 2005, Cardellini et al, 2010, Mosincat and Binder, 2008. This approach lacks support for analyzing the inherent variability of dynamic adaptation at design time.…”

Section: The Need For 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

111

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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.

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wsBus: QoS-Aware Middleware for Reliable Web Services Interactions

Cited by 37 publications

References 8 publications

Towards Self-adaptation for Dependable Service-Oriented Systems

Towards Self-adaptation for Dependable Service-Oriented Systems

A Proxy-Based Approach to Enhancing the Autonomic Behavior in Composite Services

Dynamic adaptation of service compositions with variability models

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