Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadthï¬...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
In this paper, a distributed heuristic search algorithm is presented. We show that the algorithm is admissible and give an informal analysis of its load balancing, scalability, an...
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
Recently Peer-to-Peer networks (P2P) have gained great attention and popularity. One key challenging aspect in a P2P resource sharing environment is an efficient searching algorit...