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DNSR: D omain N ame S uffix-based R outing in Overlay Networks

Dept. of Computer Science & Engineering. University of California - Riverside. DNSR: D omain N ame S uffix-based R outing in Overlay Networks. CS202 – Advanced O.S Spring ’03. Demetrios Zeinalipour-Yazti. Introduction. Most overlay networks don’t match the underlying topology

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DNSR: D omain N ame S uffix-based R outing in Overlay Networks

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  1. Dept. of Computer Science & Engineering. University of California - Riverside DNSR:Domain Name Suffix-based Routing in Overlay Networks CS202 – Advanced O.S Spring ’03 Demetrios Zeinalipour-Yazti

  2. Introduction • Most overlay networks don’t match the underlying topology • Transcontinental connections are expensive. • It would be desirable to keep the bulk of the P2P traffic within the same domain

  3. Motivation • Analyzing the Gnutella Network [D. Zeinalipour & T. Folias, cs204 Course Project] • We analyzed ~300,000 IP addresses. • 58.73% of Gnutella IPs belongs to only 20 ISPs. • Organizing Peers into domains rather than loosely interconnecting them might be feasible

  4. DNSR Idea • DNSR:Domain-Name Suffix-based Routing • Decentralized Routing Algorithm that attempts to keep P2P traffic within the same domain. • DNSR defines three Level factors per peer: • Sibling Factor (sfi) • Parent Factor (pfi) • Children Factor (cfi) • DNSR also defines a similarity function -suffix

  5. DNSR Topology • Given that each node maintains the Level Factors we end up with a semi-hierarchical topology.

  6. Joining a DNSR Topology • A node obtains a random list from an out-of-band mechanism (e.g. hostcache). • It probes for “best” entry point with Lookup

  7. Searching a DNSR Topology • Searching can be done with a variety of techniques (BFS, Random BFS,….) • The bottom-line with all techniques is that the bulk of the traffic remains within the same domain

  8. Experimental Setup Scenario • We generate a DNSR topology and a Random Topology of 1000 nodes with following distributions • We deploy the 1000 real nodes on 25 machines • We run a number of queries and observe the distribution of hosts contacted in each case.

  9. Experimental Evaluation • Each node reads its settings from the filesystem • All nodes are launched concurrently with sshpublic/private keys making the bootstrapping easy.

  10. Experimental Results Level 0 • We connect to a .rr.com host • Submit 40 queries and count the number of hosts contacted C. • In a random topology C matches the actual distribution of hosts • In a DNSR topology most of the hosts contacted are .com hosts for level 0.

  11. Experimental Results Level 1 • For Level 1 we can see that in DNSR topology we will contact more .rr.com hosts than with a random topology. • Therefore more traffic remains within same domain • Sibling Factor was 66%. If it was larger then 24% would be larger

  12. Dept. of Computer Science & Engineering. University of California - Riverside DNSR Demo Follows…

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