On Throughput-Delay Optimal Access to Storage Clouds via Load Adaptive Coding and Chunking

Recent literature including the authors' past work provide analysis and solutions for using erasure coding, parallelism, or variable slicing/chunking (i.e., dividing an object of a specific size into a variable number of smaller chunks) in speeding up the I/O performance of storage clouds. However, a comprehensive approach that considers all three dimensions together to achieve the best throughput-delay trade-off curve had been lacking. This paper presents the first set of solutions that can pick the best combination of coding rate and object chunking/slicing options as the load dynamically changes.

Provided by: Institute of Electrical & Electronic Engineers Topic: Storage Date Added: Mar 2014 Format: PDF

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