A policy management framework for trusted cross-domain collaboration

Author(s):  
Zhengping Wu ◽  
Hao Wu ◽  
Yuanyao Liu
2008 ◽  
pp. 162-181
Author(s):  
Félix J. García Clemente ◽  
Gregorio Martínez Perez ◽  
Juan A. Botía Blaya ◽  
Antonio F. Skarmeta

Policies, which usually govern the behaviour of networking services (e.g., security, QoS, mobility, etc.) are becoming an increasingly popular approach for the dynamic regulation of web information systems. By appropriately managing policies, a system can be continuously adjusted to accommodate variations in externally imposed constraints and environmental conditions. The adoption of a policy based approach for controlling a system requires an appropriate policy representation regarding both syntax and semantics, and the design and development of a policy management framework. In the context of the Web, the use of languages enriched with semantics has been limited primarily to represent Web content and services. However the capabilities of these languages, coupled with the availability of tools to manipulate them, make them well suited for many other kinds of applications, as policy representation and management. In this chapter, we present an evaluation of the ongoing efforts to use ontological (Semantic Web) languages to represent policies for distributed systems.


2010 ◽  
Author(s):  
Michael Atighetchi ◽  
Jonathan Webb ◽  
Partha Pal ◽  
Joseph Loyall ◽  
Azer Bestavros ◽  
...  

Author(s):  
Wie Jie ◽  
Tianyi Zang ◽  
Terence Hung ◽  
Stephen Turner ◽  
Wentong Cai

Information service is a key component of a Grid environment and crucial to the operation of Grids. This chapter presents an information management framework for a Grid virtual organization (VO). This information management framework is a hierarchical structure which consists of VO layer, site layer and resource layer. We propose different models of information data organization for information management in Grids and simulation experiments were conducted to evaluate the performance of these models. Based on the experimental results, we further introduce the data organization model for our information management framework. A performance evaluation conducted on a cross-domain Grid testbed indicates that our information management framework presents good scalability with large number of concurrent users and large amount of information aggregated. In this chapter some application experiences of using the information management framework are also presented.


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