SENS: A Scalable and Expressive Naming System for Resource Information Retrieval

Hoaison NGUYEN, Hiroyuki MORIKAWA, Tomonori AOYAMA

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Summary :

We have designed a scalable and expressive naming system called SENS, capable of retrieving information of computing and content resources distributed widely across the Internet through exact queries and multi-attribute range queries over resource names. Our system utilizes a descriptive naming scheme to name resources and a multi-dimensional resource ID space for message routing through an overlay network of name servers (NSs). The resource ID space is constructed on the overlay network based on CAN routing algorithm. Our novel mapping scheme between resource names and resource IDs preserves resource ID locality while still achieving good load balancing regarding resource information distribution. We also propose a multicast routing algorithm to deliver resource information and a broadcast routing algorithm to route query messages to corresponding NSs with small cost of message transmission. Our simulation results show that our system can achieve good routing performance and load balancing.

Publication
IEICE TRANSACTIONS on Communications Vol.E89-B No.9 pp.2347-2360
Publication Date
2006/09/01
Publicized
Online ISSN
1745-1345
DOI
10.1093/ietcom/e89-b.9.2347
Type of Manuscript
Special Section PAPER (Special Section on Networking Technologies for Overlay Networks)
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