Chaos: the paper that pushed the limits

Dec 21, 2015

Chaos is a graph processing system for analytics on big graphs using small clusters. Chaos builds on the X-Stream single-machine graph processing system, but scales out to multiple machines. Chaos treats the aggregate storage of all machines as a single flat disk and uses work stealing to balance the load across nodes in the cluster. It exposes the familiar scatter-gather-apply programming model.

For more details, you can find the paper here.

X-Stream: the paper that started it all

Feb 3, 2015

X-Stream is a system for analytics on big graphs using small clusters of machines. X-Stream is based on the philosophy that sequential access to data works best for all storage mediums: main memory, SSD and magnetic disk. It is therefore built around a storage-centric and streaming philosophy: rearrange graph algorithms to stream data from storage.

For more details, you can find the paper here.