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

Provided by: Institute of Electrical & Electronic Engineers
Topic: Storage
Format: PDF
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.

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