Proceedings. Second International Conference on Peer-to-Peer Computing,
DOI: 10.1109/ptp.2002.1046310
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Scalable, efficient range queries for grid information services

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Cited by 204 publications
(191 citation statements)
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“…Other protocols use locality preserving hash functions, like the Hilbert space-filling curve, to allow DHT to support range queries. For example, in (Andrzejak and Xu, 2002) the authors propose an extension of the Chord protocol to support range and multi-attribute queries, by using a uniform locality preserving hash function to map items in the Chord key space. in (Ganesan et al, 2004) two methods are proposed.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Other protocols use locality preserving hash functions, like the Hilbert space-filling curve, to allow DHT to support range queries. For example, in (Andrzejak and Xu, 2002) the authors propose an extension of the Chord protocol to support range and multi-attribute queries, by using a uniform locality preserving hash function to map items in the Chord key space. in (Ganesan et al, 2004) two methods are proposed.…”
Section: Related Workmentioning
confidence: 99%
“…These systems only allow exact queries to be expressed, while one of the common way to retrieve data on Grids is through multi-attribute range queries. Some authors have thus proposed extensions to the cited algorithms in order to adapt these DHT systems to the Grid needs (Cai et al, 2003;Andrzejak and Xu, 2002;Bharambe et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
“…Several approaches, based on space filling curves, such as Squid [15] or [17] support multidimensional range queries. [1] maps one-dimensional data space to d-dimensional Cartesian space by using the inverse Hilbert mapping. Built on top of multiple DHTs, SWORD [11] is an information service aiming at discovering computing resources on the grid by answering multi-attribute range queries.…”
Section: Related Workmentioning
confidence: 99%
“…For instance, a user may want to discover all the computational resources whose CPU utilisation is less than 50% (expressed as a range query), find out the total load of a subset of computational resources or query about the free storage space on a subset of storage resources (aggregation queries summing up the corresponding attribute over a group or resources). Structured P2P systems have been proposed as an efficient routing platform for the provision of grid information services [9,10]. This paper seeks to augment the expressiveness of the query language for structured P2P systems through provision of support for order-based queries (range queries and prefix queries) and aggregation queries, given their importance for many applications.…”
Section: Introductionmentioning
confidence: 99%
“…the extension of DHT capabilities to support order-based and aggregation queries. DHT-based solutions can be classified into those which modify the DHT [9,6,12,13] and those which leave it unchanged [14,15]. The former group adapts the DHT so that complex queries can be performed.…”
Section: Introductionmentioning
confidence: 99%