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Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
ISTC-CC Abstract
Bolt-on Causal Consistency
ACM SIGMOD International Conference on Management of Data (SIGMOD’13), June 2013.
Peter Bailis†, Ali Ghodsi†‡, Joseph M. Hellerstein†, Ion Stoica†
†UC Berkeley
‡KTH/Royal Institute of Technology
We consider the problem of separating consistency-related safety properties from availability and durability in distributed data stores via the application of a bolt-on” shim layer that upgrades the safety of an underlying general-purpose data store. This shim provides the same consistency guarantees atop a wide range of widely deployed but often inflexible stores. As causal consistency is one of the strongest consistency models that remain available during system partitions, we develop a shim layer that upgrades eventually consistent stores to provide convergent causal consistency. Accordingly, we leverage widely deployed eventually consistent infrastructure as a common substrate for providing causal guarantees. We describe algorithms and shim implementations that are suitable for a large class of application-level causality relationships and evaluate our techniques using an existing, production-ready data store and with real-world explicit causality relationships.
FULL PAPER: pdf