Abstract
A distributed system (DS) consists of a set of computers networked together and gives an impression to the users that it is a single system. The main storage component to be used in a DS is distributed file system (DFS). The DFS is used as the main file storage system in the cloud computing systems. Most of the cloud-based applications require a good performance from the DFS as for as read operations are concerned. Many caching and pre-fetching techniques have been proposed in the literature for improving the performance of the DFS. But all of these techniques use synchronous approach which increases read access time. In the literature, a speculation-based technique has been proposed for improving the performance of read access in the DFS which implements asynchronous reading using client-side caching technique. In this paper, we have proposed a new read algorithm for the DFS based on asynchronous reading, client-side caching technique, and anticipated parallel processing. We have carried out performance analysis of the speculation-based algorithm and our proposed algorithm based on anticipated parallel processing. The results of analysis indicate that our proposed algorithm performs better than the earlier speculation-based algorithm.
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Rangaswamy, B., Geethanjali, N., Ragunathan, T., Kumar, B.S. (2016). Performance Improvement of Read Operations in Distributed File System Through Anticipated Parallel Processing. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_28
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DOI: https://doi.org/10.1007/978-81-322-2517-1_28
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