Context Aware Service Policy Orchestration

Zhou, Yu; Liu, Xin Peng; Kahan, E.; Wang, Xi Ning; Xue, Liang; Zhou, Ke

doi:10.1109/icws.2007.66

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Academic research on SOA Governance is still not abundant, but there are already some interesting proposals of models (Derler & Weinreich 2007), methodologies (Zhou et al 2007;Papazoglou 2006) and frameworks (KajkoMattsson, Lewis, & Smith 2007). In our paper we present a novel approach to the topic based on flexible normative enforcement via landmark monitoring.…”

Section: Related Workmentioning

confidence: 99%

Using SOA Provenance to Implement Norm Enforcement in e-Institutions

Vázquez-Salceda

Álvarez-Napagao

2009

Coordination, Organizations, Institutions and Norms in Agent Systems IV

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In the last 10 years several approaches and technologies other than MAS (such as Web services and Grid computing) have emerged, with the support of the industry, providing their own solutions to distributed computation. As both Web services and Grid computing are based in the concept of service orientation, where all computation is split in independent, decoupled services, there is an opportunity for MAS researchers to test and extend their mechanisms and techniques in these emerging technologies. In this paper we describe a way to adapt the HARMONIA framework to be applied in highly regulated Web services and Grid computing scenarios. To do so we include a provenance mechanism as part of our norm enforcement mechanisms, which can be integrated into a SOA Governance workflow. We will show with an example how provenance allows the observation of both service interactions and (optionally) extra information about meaningful events in the system that cannot be observed in the interaction messages.

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Section: Related Workmentioning

confidence: 99%

Using SOA Provenance to Implement Norm Enforcement in e-Institutions

Vázquez-Salceda

Álvarez-Napagao

2009

Coordination, Organizations, Institutions and Norms in Agent Systems IV

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“…This description is frequently updated and used for system control allowing it to reconfigure and take adapting decisions. [16], [17] and [18] propose context adaptation models for web services and web service orchestrations based on defining the service behavior in a certain situation using a set of context adapting rules, each rule consisting of a context condition and an associated action. A self-adapting context model that uses a system situation space to represent the system execution context is proposed in [19].…”

Section: Related Workmentioning

confidence: 99%

Middleware for Smart Environments Management

Anghel

Cioara

Salomie

et al. 2010

INT J COMPUT COMMUN

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This paper introduces a self-configuring middleware that manages the processes of context information acquisition and representation from smart closed environments, targeting the development of context aware applications. The environment context information is modeled using three sets: context resources, context actors and context policies. The context model artifacts are generated and administrated at run time by a management infrastructure based on intelligent software agents. The self-configuring property is enforced by monitoring the closed environment in order to detect variations or conditions for which the context model artifacts must be updated. The middleware was tested and validated within the premises of our Distributed Systems Research Laboratory smart environment.

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A context awareness model enhanced with autonomic features

Salomie

Anghel

Cioara

et al. 2008

2008 4th International Conference on Intelligent Computer Communication and Processing

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The increasing complexity of the context sensitive systems, and the difficulties of their management, administration and adaptation have headed us towards the necessity of integrating self-* autonomic computing paradigms (self-configuring, self-healing, self-optimizing and self-protecting) into the development of context sensitive pervasive system's functional components. This paper introduces and defines the concepts of isotropic context space, context granule and context model entropy as the basic features to formally describe and evaluate the RAP context model autonomic characteristics. The paper also propose a methodology for enhancing the RPA context model with self-configuring and self-healing autonomic properties. The self-configuring property or context adaptation is obtained by detecting / configuring / integrating new context resources / actors into the context specific model. The context model self-healing properties are obtained by continuously monitoring the real context for detecting broken context policies and executing compensating actions.

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Context Aware Service Policy Orchestration

Cited by 5 publications

References 5 publications

Using SOA Provenance to Implement Norm Enforcement in e-Institutions

Using SOA Provenance to Implement Norm Enforcement in e-Institutions

Middleware for Smart Environments Management

A context awareness model enhanced with autonomic features

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