GlueQoS: middleware to sweeten quality-of-service policy interactions

Wohlstadter, Eric; Tai, Stefan; Mikalsen, Thomas; Rouvellou, Isabelle; Dévanbu, Prémkumar

doi:10.1109/icse.2004.1317441

Cited by 47 publications

(44 citation statements)

References 16 publications

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“…We previously reported on our work from the viewpoint of transaction processing [26] and software engineering [32], independent of the BPEL-related issues presented in this paper.…”

Section: Discussion and Related Workmentioning

confidence: 99%

“…The policy matchmaking algorithm [32] first calculates for each (potentially complex) WS-Policy expression the acceptable assertion set in terms of Boolean algebra. Each assertion, such as support for a coordination protocol, is interpreted as a unique Boolean variable.…”

Section: Dynamic Matchmakingmentioning

confidence: 99%

“…To compare policies for matchmaking, a policy mediation meta-protocol such as the GPP described in [32] can be used. The GPP proposes the steps of policy request to initiate a policy exchange, policy promise as the reply by the responder, and policy confirmation as the notification of a successful match.…”

Section: Policy Mediation Meta-protocolmentioning

confidence: 99%

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Composition of Coordinated Web Services

Tai¹,

Khalaf²,

Mikalsen³

2004

Middleware 2004

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Abstract. The Web services architecture defines separate specifications for the composition and the coordination of Web services. BPEL is a language for creating service compositions in the form of business processes, whereas the WSCoordination framework defines coordination protocols for distributed activities. In this paper, we investigate the combination of these two aspects to compose coordinated Web services. We argue for a policy-based approach to address this problem and introduce a new model and middleware that enables the flexible integration of diverse coordination types into (existing) process-based Web services compositions.

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“…We previously reported on our work from the viewpoint of transaction processing [26] and software engineering [32], independent of the BPEL-related issues presented in this paper.…”

Section: Discussion and Related Workmentioning

confidence: 99%

Section: Dynamic Matchmakingmentioning

confidence: 99%

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Composition of Coordinated Web Services

Tai¹,

Khalaf²,

Mikalsen³

2004

Middleware 2004

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“…Wohlstadter et al [42] have presented GlueQoS, a middleware-based approach to managing dynamically changing QoS requirements (quality of service issues related to nonfunctional requirements such as security, reliability and performance) of components. They use policies to advertise non-functional capabilities.…”

Section: Interaction Detection and Resolutionmentioning

confidence: 99%

Managing Concern Interactions in Middleware

Sanen

Truyen

Joosen

2007

Distributed Applications and Interoperable Systems

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Abstract. In this paper, we define a conceptual model that describes the relevant information about interactions between concerns that needs to be captured. We have developed a prototype system that, starting from this model, can automatically generate a set of rules that enables software developers to improve their understanding of concerns in middleware and their interactions. This rule-base is the basis for an expert system that can be queried about particular concern interactions and a software engineering tool to support an application development team.

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“…The aim of the FSACtrl architecture is unify both concepts: QoS policies and message queues using a set of well defined parameters. In [12] there is an example of other middleware with QoS policies support.…”

Section: Qos Policiesmentioning

confidence: 99%

From the Queue to the Quality of Service Policy: A Middleware Implementation

Poza

Posadas

Simó

2009

Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living

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Abstract. Quality of service policies in communications is one of the current trends in distributed systems based on middleware technology. To implement the QoS policies it is necessary to define some common parameters. The aim of the QoS policies is to optimize the user defined QoS parameters. This article describes how to obtain the common QoS parameters using message queues for the communications and control components of communication. The paper introduces the "Queue-based Quality of Service Cycle" concept for each middleware component. The QoS parameters are obtained directly from the queue parameters, and Quality of Service Policies controls directly the message queues to obtain the user-defined parameters values.

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GlueQoS: middleware to sweeten quality-of-service policy interactions

Cited by 47 publications

References 16 publications

Composition of Coordinated Web Services

Composition of Coordinated Web Services

Managing Concern Interactions in Middleware

From the Queue to the Quality of Service Policy: A Middleware Implementation

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