Title :
FERRARI: Flexible and efficient reachability range assignment for graph indexing
Author :
Seufert, S. ; Anand, A. ; Bedathur, S. ; Weikum, G.
Author_Institution :
Max Planck Inst. for Inf., Saarbrucken, Germany
Abstract :
In this paper, we propose a scalable and highly efficient index structure for the reachability problem over graphs. We build on the well-known node interval labeling scheme where the set of vertices reachable from a particular node is compactly encoded as a collection of node identifier ranges. We impose an explicit bound on the size of the index and flexibly assign approximate reachability ranges to nodes of the graph such that the number of index probes to answer a query is minimized. The resulting tunable index structure generates a better range labeling if the space budget is increased, thus providing a direct control over the trade off between index size and the query processing performance. By using a fast recursive querying method in conjunction with our index structure, we show that, in practice, reachability queries can be answered in the order of microseconds on an off-the-shelf computer - even for the case of massive-scale real world graphs. Our claims are supported by an extensive set of experimental results using a multitude of benchmark and real-world web-scale graph datasets.
Keywords :
indexing; query processing; reachability analysis; FERRARI; Web-scale graph dataset; efficient index structure; efficient reachability range assignment; flexible reachability range assignment; graph indexing; node interval labeling scheme; off-the-shelf computer; query answering; query processing performance; recursive querying method; tunable index structure; Approximation algorithms; Equations; Indexing; Labeling; Query processing; Vegetation;
Conference_Titel :
Data Engineering (ICDE), 2013 IEEE 29th International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-4909-3
Electronic_ISBN :
1063-6382
DOI :
10.1109/ICDE.2013.6544893