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| Content Provider | ACM Digital Library |
|---|---|
| Author | MacQuire, Andrew Brampton, Andrew Rai, Idris A. Mathy, Laurent Race, Nicholas J. P. |
| Abstract | Most Distributed Hash Tables (DHTs) simply consider interconnecting homogeneous nodes on the same overlay. However, realistically nodes on a network are heterogeneous in terms of their capabilities. Because of this, traditional DHTs have been shown to exhibit poor performance in a real-world environment. Additionally, we believe that it is this approach that contributes to a limited exploitation of peer-to-peer technologies. Previous work on super-peers in DHTs was proposed to address these performance issues, however the strategy used is often based on locally clustering peers around individual super-peers. This method of super-peering, however, compromises fundamental features such as load-balancing, resilience and routing efficiency, which traditional DHTs originally promised to offer. We propose a Stealth DHT which addresses the deficiencies of previous super-peer approaches by using the DHT algorithm itself to select the most appropriate super-peer for each message sent by peers. Through simulations and measurements, we show the fitness for purpose of our proposal. |
| Starting Page | 1 |
| Ending Page | 12 |
| Page Count | 12 |
| File Format | |
| ISBN | 1595934561 |
| DOI | 10.1145/1368436.1368462 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-12-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Distributed hash tables Peer-to-peer Stealth dht |
| Content Type | Text |
| Resource Type | Article |
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