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Content Based Data Transfer Mechanism for Efficient Bulk Data Transfer in Grid Computing Environment

机译:基于内容的数据传输机制,用于网格计算环境中的高效批量数据传输

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new class of Data Grid infrastructure is needed to support management, transport, distributed access, and analysis of terabyte and peta byte of data collections by thousands of users. Even though some of the existing data management systems (DMS) of Grid computing infrastructures provides methodologies to handle bulk data transfer. These technologies are not usable in addressing some kind of simultaneous data access requirements. Often, in most of the scientific computing environments, a common data will be needed to access from different locations. Further, most of such computing entities will wait for a common scientific data (such as a data belonging to an astronomical phenomenon) which will be published only when it is available. These kinds of data access needs were not yet addressed in the design of data component Grid Access to Secondary Storage (GASS) or GridFTP. In this paper, we address an application layer content based data transfer scheme for grid computing environments. By using the proposed scheme in a grid computing environment, we can simultaneously move bulk data in an efficient way using simple subscribe and publish mechanism.
机译:需要新的一类数据网格基础架构来支持管理,传输,分布式访问以及成千上万的用户对TB级和PB级数据收集进行分析。即使网格计算基础结构的某些现有数据管理系统(DMS)提供了处理批量数据传输的方法。这些技术无法用于解决某种同时进行的数据访问需求。通常,在大多数科学计算环境中,需要通用数据才能从不同位置进行访问。此外,大多数这样的计算实体将等待共同的科学数据(例如,属于天文现象的数据),该数据仅在可用时才发布。数据组件对辅助存储的网格访问(GASS)或GridFTP的设计尚未解决这些类型的数据访问需求。在本文中,我们针对网格计算环境解决了基于应用程序层内容的数据传输方案。通过在网格计算环境中使用所提出的方案,我们可以使用简单的订阅和发布机制同时高效地移动批量数据。

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