Scalable management and data mining using astrolabe

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Abstract

Astrolabe is a new kind of peer-to-peer system implementing a hierarchical distributed database abstraction. Although deigned for scalable management and data mining, the system can also support wide-area multicast and offers powerful aggregation mechanisms that permit applications to build customized virtual databases by extracting and summarizing data located throughout a large network. In contrast to other peer-to-peer systems, the Astrolabe hierarchy is purely an abstraction constructed by running our protocol on the participating hosts - there are no servers, and the system doesn’t superimpose a specialized routing infrastructure or employ a DHT. This paper focuses on wide-area implementation challenges. © 2002 Springer-Verlag Berlin Heidelberg.

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van Renesse, R., Birman, K., Dumitriu, D., & Vogels, W. (2002). Scalable management and data mining using astrolabe. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2429, 280–294. https://doi.org/10.1007/3-540-45748-8_27

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