CCAM: a connectivity-clustered access method for aggregate queries on transportation networks: a summary of results

Shashi Shekhar, Duen Ren Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

CCAM is an access method for general networks. It uses connectivity clustering. The nodes of the network are assigned to disk pages via the graph partitioning approach to maximize the CRR, i.e., the chances that a pair of connected nodes are allocated to a common page of the file. CCAM supports the operations of insert, delete, create, and find as well as the new operations, get-A-successor and get-successors, which retrieve one or all successors of a node to facilitate aggregate computations on networks. CCAM includes methods for static clustering, as well as dynamic incremental reclustering, to maintain high CRR, in the face of updates without incurring high overheads. Experimental analysis indicates that CCAM can outperform many other access methods for network operations.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Data Engineering
PublisherIEEE
Pages410-419
Number of pages10
StatePublished - Jan 1 1995
EventProceedings of the 1995 IEEE 11th International Conference on Data Engineering - Taipei, Taiwan
Duration: Mar 6 1995Mar 10 1995

Other

OtherProceedings of the 1995 IEEE 11th International Conference on Data Engineering
CityTaipei, Taiwan
Period3/6/953/10/95

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