Improving Performance of a Distributed File System Using a Speculative Semantics-Based Algorithm

• Published in: Tsinghua science and technology 2015-12, Vol.20 (6), p.583-593
• Main Authors: Krishna, Talluri Lakshmi Siva Rama, Ragunathan, Thirumalaisamy, Battula, Sudheer Kumar
• Format: Article
• Language: English
• Subjects: distributed; system; Hadoop; Blobseer; concurrency; spe
• ISSN: 1007-0214; 1878-7606; 1007-0214
• DOI: 10.1109/TST.2015.7349930

File-sharing semantics is used by the file systems for sharing data among concurrent client processes in a consistent manner. Session semantics is a widely used file-sharing semantics in Distributed File Systems(DFSs). The main disadvantage of session semantics is that writes to an open file are visible to the concurrent client processes only during their next session. Recently, "linearizability semantics" was introduced in Blob Seer DFS, in which a Read Client Process(RCP) can read only a previous version of a binary large object(blob), while update operations are carried out on that blob in a concurrent manner. In this paper, we propose a new type of file-sharing semantics, namely "speculative semantics", which permits writes to an open file to be visible to other concurrent processes provided that data consistency is not affected. In addition, we propose a new read algorithm for DFSs based on speculative semantics and a new performance measurement metric called Currency. The experimental results obtained using Blob Seer DFS indicate that the proposed read algorithm performs better than the existing read algorithm of Blob Seer DFS.