A wide variety of recent applications model their data in graphs/networks such as social networks, web graphs, and protein-protein interaction networks. Efficient processing for large graph data poses new challenges for almost all components of state-of-the-art data management systems. To list a few examples: (i) graph data are complex structures and cannot be efficiently stored as relational tables; (ii) the access patterns of large graph processing are complex, which results in inefficient disk accesses or network communications; and (iii) last but not least, to tackle scalability issues, graph processing must be efficiently distributed in a networked environment.
|Title of host publication||Large Scale and Big Data|
|Subtitle of host publication||Processing and Management|
|Number of pages||26|
|Publication status||Published - 2014|
Scopus Subject Areas
- Computer Science(all)