Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
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.
CellIQ : Real-Time Cellular Network Analytics at Scale
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI’15), Oakland, CA, May 2015.
Anand Padmanabha Iyer, Li Erran Li*, Ion Stoica
University of California, Berkeley
We present CellIQ, a real-time cellular network analytics system that supports rich and sophisticated analysis tasks. CellIQ is motivated by the lack of support for realtime analytics or advanced tasks such as spatio-temporal traffic hotspots and handoff sequences with performance problems in state-of-the-art systems, and the interest in such tasks by network operators. CellIQ represents cellular network data as a stream of domain specific graphs, each from a batch of data. Leveraging domain specific characteristics—the spatial and temporal locality of cellular network data—CellIQ presents a number of optimizations including geo-partitioning of input data, radiusbased message broadcast, and incremental graph updates to support efficient analysis. Using data from a live cellular network and representative analytic tasks, we demonstrate that CellIQ enables fast and efficient cellular network analytics—compared to an implementation without cellular specific operators, CellIQ is 2× to 5× faster.
FULL PAPER: pdf