Multithreaded Variable Chunking in Source Based Deduplication in Cloud Backup Services using Support Vector Machine
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Cloud computing is typically defined as a type of computing that relies on sharing computing resources rather than having local server or personal devices to handle applications. we developed a novel multithreaded variable size chunking method,which exploits the multicore architecture of the modern microprocessors. The legacy single threaded variable size chunking method leaves much to be desired in terms of effectively exploiting the bandwidth of the state of the art storage devices. Multithreaded variable size chunking guarantees chunking invariability: The result of chunking does not change regardless of the degree of multithreading or the segment size. This is achieved by inter and intra-segment coalescing at the master thread and Dual Mode Chunking at the client thread. Then developed an elaborate performance model to determine the optimal multithreading degree and the segment size. MUCH is implemented in the prototype deduplication system. By fully exploiting the available CPU cores (quad-core), This achieved up to 4 increase in the chunking performance (MByte/sec).Multithreaded variable size chunking successfully addresses the performance issues of file chunking which is one of the performance bottlenecks in modern deduplication systems by parallelizing the file chunking operation while guaranteeing Chunking Invariability by using Support Vector Machine.
Authors and Affiliations
K. S. Demel Abisha, S. Revathy Rajesh
Keywords
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