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An Approach for Robust Distributed Data Retrieval in Data Intensive Grid Environments

机译:数据密集电网环境中强大的分布式数据检索方法

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Data Intensive Grid is meant for efficient data sharing in large scale distributed data storage environment, which is a promising way to improve data and software viability. Among numerous aspects which needs consideration, data availability is one of the most vital and difficult, since it faces lots of challenges such as abnormal failures of nodes, dynamic nodes participation and unstable network connection. Adding data replicas in the Data Grid environment can improve data availability and response time and thus ensure robust data retrieval. Yet how to replicate data in order to meet performance requirements in data Grid still remains unsolved. In this paper we propose a solution that stripes large files into data blocks and distributes over data nodes for storage and design a mechanism for automatic data replication of nodes aiming at ensuring data availability. Preliminary simulation experiments show that our approach is effective in improving data availability with limited increase of system costs.
机译:数据密集电网是在大规模分布式数据存储环境中有效的有效数据共享,这是改善数据和软件可行性的有希望的方法。在需要考虑的众多方面中,数据可用性是最重要和最困难的,因为它面临着许多挑战,例如节点的异常失败,动态节点参与和不稳定的网络连接。在数据网格环境中添加数据副本可以提高数据可用性和响应时间,从而确保强大的数据检索。然而,如何复制数据以满足数据网格中的性能要求仍然未解决。在本文中,我们提出了一种解决方案,将大文件镶入数据块并分发通过数据节点来存储和设计用于旨在确保数据可用性的节点的自动数据复制的机制。初步仿真实验表明,我们的方法有效地改善了系统成本有限的数据可用性。

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