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Mercury: supporting scalable multi-attribute range queries
Abstract
This paper presents the design of Mercury, a scalable protocol for supporting multi-attribute range-based searches. Mercury differs from previous range-based query systems in that it supports multiple attributes as well as performs explicit load balancing. To guarantee efficient routing and load balancing, Mercury uses novel light-weight sampling mechanisms for uniformly sampling random nodes in a highly dynamic overlay network. Our evaluation shows that Mercury is able to achieve its goals of logarithmic-hop routing and near-uniform load balancing.We also show that Mercury can be used to solve a key problem for an important class of distributed applications: distributed state maintenance for distributed games. We show that the Mercury-based solution is easy to use, and that it reduces the game's messaging overheard significantly compared to a naïve approach.
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Citations
Cited by
Survey of research towards robust peer-to-peer networks: Search methods
Risson, J., & Moors, T. (2006) · Computer Networks · doi:10.1016/j.comnet.2006.02.001 · Cited by 386
Want to scale in centralized systems? Think P2P
Kermarrec, A.-M., & Taïani, F. (2015) · Journal of Internet Services and Applications · doi:10.1186/s13174-015-0029-1 · Cited by 18
Metadata
- Authors
- Bharambe, A. R., Agrawal, M., & Seshan, S.
- Venue
- Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
- Publisher
- ACM
- Published
- 2004-08-30
- Pages
- 353-366
- OpenAlex
- W2096538410
- Cited by
- 675
- References
- 0
- FWCI
- 32.04
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mercury: supporting scalable multi-attribute range queries. https://app.cochat.ai/papers/10.1145/1015467.1015507
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- Bharambe, A. R., Agrawal, M., & Seshan, S. (2004). Mercury: supporting scalable multi-attribute range queries. Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications. https://doi.org/10.1145/1015467.1015507
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
