Abstract
Grid systems are well-known for its high performance computing or large data storage with inexpensive devices. They can be categorized into two major types: computational grid and data grid. Data grid is used for data intensive applications. In data grids, replication is used to reduce access latency. It can also improve data availability, load balancing and fault tolerance. If there are many replicas, they may have coherence problems while being updated. In this paper, based on the aggressive-copy method, we developed an algorithm using pipeline concept, such that the data transfer tasks can be done simultaneously. This novel Pipeline-based Aggressive Copy method can accelerate the update speed and decrease users’ waiting times. We used Globus toolkit for our framework. Compared with the existing schemes and from the preliminary simulation results, our method shows notable improvement in overall completion time.
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Wang, RC., Wu, SL., Chang, RS. (2007). A Novel Data Grid Coherence Protocol Using Pipeline-Based Aggressive Copy Method. In: Cérin, C., Li, KC. (eds) Advances in Grid and Pervasive Computing. GPC 2007. Lecture Notes in Computer Science, vol 4459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72360-8_41
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DOI: https://doi.org/10.1007/978-3-540-72360-8_41
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