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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
Stronger Semantics for Low-Latency Geo-Replicated Storage
10th Symposium on Networked Systems Design and Implementation (NSDI'13), April 2013.
Wyatt Lloyd*, Michael J. Freedman*, Michael Kaminsky^, and David G. Andersen**
*Princeton University,
**Carnegie Mellon University
^Intel Labs
We present the first scalable, geo-replicated storage system that guarantees low latency, offers a rich data model, and provides "stronger" semantics. Namely, all client requests are satisfied in the local datacenter in which they arise; the system efficiently supports useful data model abstractions such as column families and counter columns; and clients can access data in a causallyconsistent fashion with read-only and write-only transactional support, even for keys spread across many servers.
The primary contributions of this work are enabling scalable causal consistency for the complex columnfamily data model, as well as novel, non-blocking algorithms for both read-only and write-only transactions. Our evaluation shows that our system, Eiger, achieves low latency (single-ms), has throughput competitive with eventually-consistent and non-transactional Cassandra (less than 7% overhead for one of Facebook's real-world workloads), and scales out to large clusters almost linearly (averaging 96% increases up to 128 server clusters).
FULL PAPER: pdf
