Hierarchical optimization of optimal path finding for transportation applications
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
PRISMA/DB: A Parallel, Main Memory Relational DBMS
IEEE Transactions on Knowledge and Data Engineering
Description and Identification of Distributed Fragments of Recursive Relations
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Implementation and Performance Evaluation of a Parallel Transitive Closure Algorithm on PRISMA/DB
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
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This paper presents a new approach to parallel computation of transitive closure queries using a semantic data fragmentation. Tuples of a large base relation denote edges in a graph, which models a transportation network. We propose a fragmentation algorithm which produces a partitioning of the base relation into several fragments such that any fragment corresponds to a subgraph. One fragment, called high-speed fragment, collects all edges which guarantee maximum speed, these edges correspond to highways or to highspeed inter-city trains. thus, the fragmentation algorithm induces a hierarchical relationship between the high-speed fragment and all other fragments. With this fragmentation, any query about paths connecting two nodes can be answered by using just the fragments in which nodes are located and the high-speed fragment. In general, if each fragment is managed by a distinguished processor, then the query can be answered by three processors working in parallel. This schema can be applied recursively to generate an arbitrary number of hierarchical levels.