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In today's large data centers, hundreds to thousands of nodes are deployed as storage clusters to provide cloud and big data storage service, where failures are not rare. Therefore, efficient data redundancy technologies are needed to ensure data availability and reliability. Compared to traditional technology based on replication, erasure codes which tolerate multiple failures provide availability...
With the system scale keeping grown, the key challenge is to mask the failures that arise among the system components and to improve the performance of data-intensive applications. This paper designs and implements a cluster-based distributed replication file system EDRFS to meet these critical demands. EDRFS works with a single metadata server and multiple storage nodes, deploys whole-file replication...
I/O for parallel and distributed systems has drawn increasing attention over the past decade as it has become apparent that I/O performance, rather than CPU performance, may be the key limiting factor in the performance of future systems. Prefetch is the fundamental approach for improving the overall read performance. At present, there are some well-known prefetching algorithms in parallel and distributed...
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