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ISTC-CC NEWSLETTER
RESEARCH HIGHLIGHTS
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
A Short Primer on Causal Consistency
USENIX;login, 38(4), August 2013.
Wyatt Lloyd, Michael J. Freedman^, Michael Kaminsky*, David G. Andersen**
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^Princeton University
**Carnegie Mellon University
*Intel Labs
The growing prevalence of geo-distributed services that span multiple geographically separate locations has triggered a resurgence of research on consistency for distributed storage. The CAP theorem and other earlier results prove that no distributed storage system can simultaneously provide all desirable properties—e.g., CAP shows this for strong Consistency, Availability, and Partition tolerance—and some must be sacrificed to enable others. In this article, we suggest causal consistency represents an excellent point in this tradeoff space; it is compatible with strong performance and liveness properties while being far easier to reason about than the previously-settled-for choice: eventual” consistency.
FULL PAPER: pdf
