Location, Location, Location! Modeling Data Proximity in the Cloud

Date Added: Feb 2010
Format: PDF

Cloud applications have increasingly come to rely on distributed storage systems that hide the complexity of handling network and node failures behind simple, data-centric interfaces such as PUTs and GETs on key-value pairs. While these interfaces are very easy to use, the application is completely oblivious to the location of its data in the network; as a result, it has no way to optimize the placement of data or computation. This paper proposes exposing the network location of data to applications. The primary challenge is that data does not usually exist at a single point in the network; it can be striped, replicated, cached and coded across different locations, in arbitrary ways that vary across storage systems.