@inproceedings{sarwat2012horton,
author = {Sarwat, Mohamed and Elnikety, Sameh and He, Yuxiong and Kliot, Gabriel},
title = {Horton: Online Query Execution Engine for Large Distributed Graphs (Demo Track)},
booktitle = {ICDE 2012: 28th IEEE International Conference on Data Engineering},
year = {2012},
month = {April},
abstract = {Large graphs are used in many applications, such as social networking. The management of these graphs poses new challenges because such graphs are too large to fit on a single server. Current distributed techniques such as map-reduce and Pregel are not well-suited for processing interactive adhoc queries against large graphs. In this paper we demonstrate Horton, a distributed interactive query execution engine for large graphs. Horton defines a query language that allows expressing regular language reachability queries and provides a query execution engine with a query optimizer that allows interactive execution of queries on large distributed graphs in parallel. In the demo, we show the functionality of Horton managing a large graph for a social networking application called Codebook, in which a graph models data on software components, developers, development artifacts (such as bug reports), and their interactions in large software projects.},
url = {http://approjects.co.za/?big=en-us/research/publication/horton-online-query-execution-engine-for-large-distributed-graphs-demo-track/},
edition = {ICDE 2012: 28th IEEE International Conference on Data Engineering},
}