Delivering services by building and running virtual organisations

Nguyen, D.; Thompson, Simon G.; Patel, Jigar; Teacy, Luke; Jennings, Nicholas R.; Lück, Michael; Dang, Viet Dung; Chalmers, Stuart; Oren, Nir; Norman, Timothy J.; Preece, Alun; Gray, Peter; Shercliff, Gareth; Stockreisser, Patrick J.; Shao, Jianhua; Gray, W. A.; Fiddian, N. J.

doi:10.1007/s10550-006-0029-6

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…Thus, publishers and subscribers are decoupled, enhancing modularity over schemes in which the relationship is embedded explicitly in code. Example publish/subscribe systems include RGMA , Conoise‐G .…”

Section: Distributed Applications and Systems Patternsmentioning

confidence: 99%

Distributed computing practice for large‐scale science and engineering applications

Jha

Cole

Parashar

et al. 2012

Concurrency and Computation

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SUMMARYIt is generally accepted that the ability to develop large‐scale distributed applications has lagged seriously behind other developments in cyberinfrastructure. In this paper, we provide insight into how such applications have been developed and an understanding of why developing applications for distributed infrastructure is hard. Our approach is unique in the sense that it is centered around half a dozen existing scientific applications; we posit that these scientific applications are representative of the characteristics, requirements, as well as the challenges of the bulk of current distributed applications on production cyberinfrastructure (such as the US TeraGrid). We provide a novel and comprehensive analysis of such distributed scientific applications. Specifically, we survey existing models and methods for large‐scale distributed applications and identify commonalities, recurring structures, patterns and abstractions. We find that there are many ad hoc solutions employed to develop and execute distributed applications, which result in a lack of generality and the inability of distributed applications to be extensible and independent of infrastructure details. In our analysis, we introduce the notion of application vectors: a novel way of understanding the structure of distributed applications. Important contributions of this paper include identifying patterns that are derived from a wide range of real distributed applications, as well as an integrated approach to analyzing applications, programming systems and patterns, resulting in the ability to provide a critical assessment of the current practice of developing, deploying and executing distributed applications. Gaps and omissions in the state of the art are identified, and directions for future research are outlined. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Distributed Applications and Systems Patternsmentioning

confidence: 99%

Distributed computing practice for large‐scale science and engineering applications

Jha

Cole

Parashar

et al. 2012

Concurrency and Computation

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“…Both, were made aware of their environment (the market) by subscribing them to the blackboard. MACOCO was inspired on the CONOISE-G platform [8], which allows to create and maintain virtual organizations to satisfy complex requests for e-commerce. As CONOISE-G, the second version of MACOCO [9], allows to service agents to communicate to each other to create virtual organizations (VOs) which satisfy complex requests.…”

Section: From Virtual Organizations To Service Compositionsmentioning

confidence: 99%

Market-Awareness in Service-Based Systems

Torres

Bencomo

Astudillo

2012

2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops

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Abstract-Service-based systems are service consumer applications built by composing pre-existing services. Both, service providers and consumers are on a service market that is constantly changing. We see different problems in the way service-based systems are currently carried out. On the one hand, consumers define requested services using specifications that depend on the current knowledge of the market. Such specifications may become obsolete due to the continued improvements in the QoS of the services in the market. On the other hand, service providers are passive entities waiting to be discovered by the service consumers.In this work, we propose a framework to support both, consumers and service providers to be aware of the changes in the market. With our approach consumers are able to specify the required QoS using abstract specifications that will be eventually concretized at runtime and according to real characteristics of the market. Services are represented by active software agents. These agents are collectively aware of themselves and what the market requires. Agents are able of creating and maintaining virtual organizations that not just wait to be discovered but also react actively to demands of the market providing self-adaptation capabilities to service-based systems. Explanations of the current prototype are provided.

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“…To facilitate this, a number of sourcing arrangements must be in place and the engineer must be provided with the item's cost and more importantly a delivery date in order for a new appointment to be made. This will become the eMarketplace [16] as shown in Fig 3. The eMarketplace will need to interact with many suppliers, manufacturers, also item and supplier reviews so that either a direct replacement or a suitable alternative can be obtained. For systems of this nature Nissen [17] suggests that 'intelligent agents offer excellent potential and capability for supply chain management.'…”

Section: Integration With Other Servicesmentioning

confidence: 99%