• Defining minimum requirements of inter-collaborated nodes by measuring the weight of node interactions

      Sotiriadis, Stelios; Bessis, Nik; Huang, Ye; Sant, Paul; Maple, Carsten (IGI Global, 2011)
      This paper focuses on defining the minimum requirements to support the inter-cooperation between various scales, dynamically evolved Virtual Organizations (VOs). This proposed method is able to assign a weighted value to each pair-wise path that each member (node) can select in order to locate neighbouring nodes according to their preferences. The method also takes into account the communication overhead between each node interaction. The weight of each path is to be measured by the analysis of prerequisites in order to achieve a mutually agreed interaction between nodes. Requirements are defined as the least parameters or conditions that a node needs to achieve in order to determine its accessibility factor. The motivation behind this work is the vision of the Critical Friends Community model, which is a suitable topology for interoperable grid environments. The topology suggests that capturing inter-cooperated nodes interactions that can be publicly available could lead to knowledge of neighbouring VO members which, in turn, could be used for facilitating a more effective resource discovery and selection decision.
    • Defining minimum requirements of inter-collaborated nodes by measuring the weight of node interactions

      Sotiriadis, Stelios; Bessis, Nik; Huang, Ye; Sant, Paul; Maple, Carsten; University of Bedfordshire, UK (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
      In this paper we are focusing on the minimum requirements to be addressed in order to demonstrate a inter-node communication within a Virtual Organisation (VO) using the method of Self-led Critical Friends (SCF). The method is able to decide paths that a node can choose in order to locate neighbouring nodes by aiming at realizing the overhead of each communication. The weight of each path will be measured by the analysis of prerequisites in order to achieve the interaction between nodes. We define requirements as the least fundamentals that a node needs to achieve in order to determine its accessibility factor. The information gathered from an interaction is then stored in a snapshot, a profile that is made available during the discovery stage.
    • Modelling of a self-led critical friend topology in inter-cooperative grid communities

      Bessis, Nik; Huang, Ye; Norrington, Peter; Brown, Antony; Kuonen, Pierre; Hirsbrunner, Beat (Elsevier, 2011-01)
      For decades, much work has been done to increase the effectiveness and efficiency of job sharing amongst available computational resources. Resources can be organized into a variety of topologies, and recent work has shown that a decentralized distributed resource topology is a crucial but complicated scenario. This is because decentralized resources are normally grouped into independent virtual organizations (VOs) and isolated from each other by VO boundaries. To convey jobs across gaps between various virtual organizations, a novel resource topology called the self-led critical friend model (CFM) is proposed in this work. The CFM deals with trust credits between resources according to their historical collaboration records. This trust reveals a feasible, realistic, and transferable correlation to facilitate the resource selection process for job delegation between arbitrarily connected physical resources. Consequently, the CFM is able to overcome the constraints caused by virtual organization boundaries.
    • Towards decentralized grid agent models for continuous resource discovery of interoperable grid Virtual Organisations

      Sotiriadis, Stelios; Bessis, Nik; Huang, Ye; Sant, Paul; Maple, Carsten; University of Bedfordshire, UK (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
      Grid technology enables resource sharing among a massive number of dynamic and geographically distributed resources. The significance of such environments is based on the aptitude of grid members to look across multiple grids for resource discovery and allocation. Parallel to grid, agents are autonomous problem solvers capable of self-directed actions in flexible environments. As grid systems require self-sufficiency, agents may be the means by which to achieve a robust autonomy infrastructure. In this direction we propose a resource discovery method of interoperable grid agents which travel within Virtual Organizations (VOs) and by capturing resource information regarding their action domain; they update the internal data of each grid member. Moreover we propose that resource discovery is a systematic and continually updating process that occurs within a VO and allows information exchange to happen. This exchange takes place between various community members at a pre-defined interval, aiming to distribute internal knowledge about the domain.