On the expressive power of query languages
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Knowledge and Data Engineering
Map Learning and Clustering in Autonomous Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
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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In this paper we study the reformulation of transitive closure queries on a fragmented graph. We split a query into several subqueries, each requiring only a fragment of the graph. We prove this reformulation to be correct for shortest path and bill of material queries. Here we describe the reformulation for an abstract graph, elsewhere we have described an actual implementation of our approach and some promising simulation results.We view the study of distributed computation of transitive closure queries as a result of the trend towards distributed computation. First selections were distributed to fragments of a relation, then fragmentation was used to compute joins in a distributed way, and now we are studying distributed computation of transitive closure queries. This should result in a deeper insight into the use and possible benefit of parallelism. Our work may be used in ordinary distributed databases as well as advanced multiprocessor database machines, such as PRISMA.Although this research was started to efficiently use distributed computation, it turns out to be beneficiary in a central environment as well. This is due to the introduction of extra selections, stemming from an appropriate fragmentation. This leads to extra focus on relevant data.