Adapting the content native space for load balanced indexing

Yanfeng Shu; Kian Lee Tan; Aoying Zhou

doi:10.1007/978-3-540-31838-5_9

Adapting the content native space for load balanced indexing

Yanfeng Shu, Kian Lee Tan, Aoying Zhou

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

Today, there is an increasing demand to share data with complex data types (e.g., multi-dimensional) over large numbers of data sources. One of the key challenges is sharing these data in a scalable and efficient way. This paper presents the design of ZNet, a P2P network for supporting multi-dimensional data. ZNet directly operates on the native data space, which is partitioned dynamically and mapped to nodes within the network. Particular attention is given to reduce load imbalance among nodes due to skewed data distribution. Results from an extensive simulation study show that ZNet is efficient in routing and processing range queries, and provides good load balancing.

Original language	English
Pages (from-to)	122-135
Number of pages	14
Journal	Lecture Notes in Computer Science
Volume	3367
DOIs	https://doi.org/10.1007/978-3-540-31838-5_9
State	Published - 2005
Externally published	Yes
Event	Second International Workshop on Databases, Information Systems, and Peer-to-Peer Computing, DBISP2P 2004 - Toronto, Ont., Canada Duration: 29 Aug 2004 → 30 Aug 2004

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10.1007/978-3-540-31838-5_9

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title = "Adapting the content native space for load balanced indexing",

abstract = "Today, there is an increasing demand to share data with complex data types (e.g., multi-dimensional) over large numbers of data sources. One of the key challenges is sharing these data in a scalable and efficient way. This paper presents the design of ZNet, a P2P network for supporting multi-dimensional data. ZNet directly operates on the native data space, which is partitioned dynamically and mapped to nodes within the network. Particular attention is given to reduce load imbalance among nodes due to skewed data distribution. Results from an extensive simulation study show that ZNet is efficient in routing and processing range queries, and provides good load balancing.",

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AU - Tan, Kian Lee

AU - Zhou, Aoying

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AB - Today, there is an increasing demand to share data with complex data types (e.g., multi-dimensional) over large numbers of data sources. One of the key challenges is sharing these data in a scalable and efficient way. This paper presents the design of ZNet, a P2P network for supporting multi-dimensional data. ZNet directly operates on the native data space, which is partitioned dynamically and mapped to nodes within the network. Particular attention is given to reduce load imbalance among nodes due to skewed data distribution. Results from an extensive simulation study show that ZNet is efficient in routing and processing range queries, and provides good load balancing.

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T2 - Second International Workshop on Databases, Information Systems, and Peer-to-Peer Computing, DBISP2P 2004

Y2 - 29 August 2004 through 30 August 2004

ER -

Adapting the content native space for load balanced indexing

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