A Collaborative Inter Data Grids Strong Semantic Model with Hybrid Namespace

Dalia El-Mansy, A. Sameh
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Abstract

The intention is to design a hybrid namespace collaboration model for existing organizations to pay lower cost (initial and running) in order to join it. Data resources will be allowed to have colliding names. The contributing organization will be free to set any rules for its internal users to follow (such as taxonomy). However, it will have to take care of a very simple interface to the intended model in order to introduce new contributed resources or to query external ones. Traditional data grids will join this model (represented by proxy agents) to provide their content while their owners can join as users of relevant servers to explore relevant resources to keep their content up to date. A hierarchical namespace will be maintained in order to uniquely identify data resources. (Full names are the local names prefixed with the ID of owner data grid for uniqueness.) If the full name is queried, the corresponding resource is sought in the wide group of collaborating data grids. If the local name is queried, it is fetched in the local data grid. Similar and related topics in different places in the hierarchy will be linked for robustness. Otherwise, a comprehensive search should be performed all over the whole hierarchy
基于混合命名空间的协同数据网格强语义模型
其目的是为现有组织设计一个混合名称空间协作模型,以便为加入该模型支付更低的成本(初始和运行)。允许数据资源具有冲突的名称。贡献组织可以自由地为其内部用户设置任何规则(例如分类法)。但是,为了引入新的贡献资源或查询外部资源,它必须处理到预期模型的非常简单的接口。传统的数据网格将加入这个模型(由代理代理表示)来提供它们的内容,而它们的所有者可以作为相关服务器的用户加入,以探索相关资源,使它们的内容保持最新。为了唯一地标识数据资源,将维护分层名称空间。(全名是带有所有者数据网格ID前缀的本地名称,用于惟一性。)如果查询全名,则在广泛的协作数据网格组中查找相应的资源。如果查询本地名称,则从本地数据网格中获取。为了鲁棒性,将层次结构中不同位置的相似和相关主题联系起来。否则,应该在整个层次结构中执行全面搜索
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