Computer Supported Cooperative Work in Design I: 8th by Zhiwei Xu, Ning Yang, Huaming Liao (auth.), Weiming Shen,

By Zhiwei Xu, Ning Yang, Huaming Liao (auth.), Weiming Shen, Zongkai Lin, Jean-Paul A. Barthès, Tangqiu Li (eds.)

The layout of complicated artifacts and structures calls for the cooperation of multidisciplinary layout groups utilizing a number of advertisement and non-commercial engineering instruments equivalent to CAD instruments, modeling, simulation and optimization software program, engineering databases, and knowledge-based structures. contributors or person teams of multidisciplinary layout groups frequently paintings in parallel and individually with numerous engineering instruments, that are positioned on varied websites, usually for really decades. At any second, person contributors might be engaged on various types of a layout or viewing the layout from a number of views, at varied degrees of aspect. so one can meet those specifications, it can be crucial to have potent and effective collaborative layout environments. those environments aren't basically automate person initiatives, within the demeanour of conventional computer-aided engineering instruments, but additionally let person contributors to percentage info, collaborate and coordinate their actions in the context of a layout undertaking. CSCW (computer-supported cooperative paintings) in layout is anxious with the improvement of such environments.

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Additional resources for Computer Supported Cooperative Work in Design I: 8th International Conference, CSCWD 2004, Xiamen, China, May 26-28, 2004. Revised Selected Papers

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Based on it, the estimated response time Rle for every computing process may need rational and accurate evaluation. Reputation is a kind of trust between target node j and no-source nodes via direct cooperation. It’s always recommended to source node by other no-source nodes. The definition of reputation can be: Re putation j = M D Σ ( β k × Trust( k , j ) ) k =1 k ≠ i, j Here, M = total number of no-source nodes −1 i ,β (2) k is the measure of relationship between source node and no-source node k , such as the successful cooperation-rate.

In the field of grid resource management, through analyzing the QoS characteristics in grid, we propose and set up the layered structure of Grid QoS, which provides a reasonable gist for mapping and converting QoS parameters in grid, On the basis of analyzing the content of GRAM based on QoS, we put forward the architecture of QoS-based GRAM. It provides a reasonable model for the QoS and resource allocation management in grid. However, there still remains some work to be improved. Because there are many uncertain factors for grid QoS and the relationships among nodes are more complicated in grid environment than in traditional networks, how to map, analyze and convert the users’ QoS demands to concrete QoS parameters effectively will be our next research topic.

They do not have decisive influence on grid QoS. They just offer some necessary QoS information to users. The user cannot determine the specific value of these QoS parameters, so we call them descriptive QoS parameters. 2 The Layered Structure of Grid QoS Grid QoS may have different representations to different objects. For example, QoS demands put forward by the end user may be a set of specific QoS parameters or only some simple descriptions such as bad, general, better or best. While the QoS demands on resource is related to logical resource and system, for instance, resources are excellent, system response time ≤180ms, system transmission speeds ≥2 Mb/s, etc.

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