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Modern distributed storage systems often use erasure codes to protect againstdisk and node failures to increase reliability, while trying to meet thelatency requirements of the applications and clients. Storage systems may havecaches at the proxy or client ends in order to reduce the latency. In thispaper, we consider a novel caching framework with erasure code calledfunctional caching. Functional Caching involves using erasure-coded chunks inthe cache such that the code formed by the chunks in storage nodes and cachecombined are maximal-distance-separable (MDS) erasure codes. Based on thearrival rates of different files, placement of file chunks on the servers, andservice time distribution of storage servers, an optimal functional cachingplacement and the access probabilities of the file request from different disksare considered. The proposed algorithm gives significant latency improvement inboth simulations and a prototyped solution in an open-source, cloud storagedeployment.

Sprout: A functional caching approach to minimize service latency in erasure-coded storage