Abstract
In this paper we describe HIS, a system that enables efficient storage and querying of data organized into concept hierarchies and dispersed over a network. Our scheme utilizes an adaptive algorithm that automatically adjusts the level of indexing according to the granularity of the incoming queries, without assuming any prior knowledge of the query workload. Efficient roll-up and drill-down operations increase the exact-match query ratio by shifting to the most favorable hierarchy level. Combined with soft-state indices created after query misses, our system achieves maximization of performance by minimizing query flooding. Extensive experimental evaluations show that, on top of the advantages that a distributed storage offers, our method answers the large majority of incoming queries without flooding the network and at the same time it manages to preserve the hierarchical nature of data. It shows remarkable performance especially for skewed workloads, which are frequently documented in the majority of Internet-scale applications. These characteristics are maintained even after sudden shifts in the workload.
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© 2008 Springer-Verlag Berlin Heidelberg
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Doka, K., Asiki, A., Tsoumakos, D., Koziris, N. (2008). Online Querying of Concept Hierarchies in P2P Systems. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88871-0_16
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DOI: https://doi.org/10.1007/978-3-540-88871-0_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88870-3
Online ISBN: 978-3-540-88871-0
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