Routing tradeoffs in dynamic peer-to-peer networks

Distributed Hash Tables (DHTs) are useful tools for building large scale distributed systems. DHTs provide a hash-table-like interface to applications by routing a key to its responsible node among the current set of participating nodes. DHT deployments are characterized by churn, a continuous process of nodes joining and leaving the network. Lookup latency is important to applications that use DHTs to locate data. In order to achieve low latency lookups, each node needs to consume bandwidth to keep its routing tables up to date under churn. A robust DHT should use bandwidth sparingly and avoid overloading the network when the the deployment scenario deviates from design assumptions. Ultimately, DHT designers are interested in obtaining best latency lookups using a bounded amount of bandwidth across a wide range of operating environments. This thesis presents a new DHT protocol, Accordion, that achieves this goal. Accordion bounds its overhead traffic according to a user specified bandwidth budget and chooses a routing table size that minimizes lookup latency, balancing the need for both low lookup hop-count and low timeout probability. Accordion employs a unique design for managing routing tables.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Li, Jinyang, 1976-

Advisor dc:contributor.advisor

• Robert Morris.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/35599

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/35599