A stream partitioning approach to processing large scale distributed graph datasets.
Rui WangKenneth ChiuPublished in: IEEE BigData (2013)
Keyphrases
- distributed stream processing
- stream mining
- scientific data analysis
- real time
- massive graphs
- graph partitioning
- partitioning algorithm
- stream processing
- data streams
- distributed processing
- distributed systems
- distributed environment
- cooperative
- real life
- spectral graph
- random walk
- real world
- social networks
- graph theory
- graph structure
- data processing
- graph representation
- graph theoretic
- data intensive
- graph data
- peer to peer
- minimum cut
- directed graph
- stream processing systems
- database
- vertex set
- high scalability
- xml streams
- data mining
- min cut
- web scale
- efficient processing
- graph mining
- directed acyclic graph
- graph matching
- sliding window
- benchmark datasets
- data management