NSDI '06 — Abstract
Pp. 211–224 of the Proceedings
Awarded Best Paper!
Availability of Multi-Object Operations
Haifeng Yu, Intel Research Pittsburgh and Carnegie Mellon University; Phillip B. Gibbons, Intel Research Pittsburgh; Suman Nath, Microsoft Research
Abstract
Highly-available distributed storage systems are
commonly designed to optimize the availability of individual data
objects, despite the fact that user level tasks typically request
multiple objects. In this paper, we show that the assignment
of object replicas (or fragments, in the case of erasure coding) to
machines plays a dramatic role in the availability of such
multi-object operations, without affecting the availability of
individual objects. For example, for the TPC-H benchmark under
real-world failures, we observe differences of up to four
nines between popular assignments used in existing systems.
Experiments using our wide-area
storage system prototype, MOAT, on the PlanetLab, as well as extensive
simulations, show which assignments lead to the highest availability
for a given setting.
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