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Locality Awareness in a Peer-to-Peer Publish/Subscribe System
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
KTH, School of Electrical Engineering (EES), Communication Networks. (LCN)ORCID iD: 0000-0003-4516-7317
2012 (English)In: Distributed applications and interoperable systems: 12th IFIP WG 6.1 International Conference, DAIS 2012, Stockholm, Sweden, June 13-16, 2012. Proceedings, Springer, 2012, Vol. 7272, 45-58 p.Conference paper, Published paper (Refereed)
Abstract [en]

Peer-to-peer publish/subscribe systems are promising solutions to provide distributed content distribution services at Internet-scale with low cost. One of the potential problems with peer-to-peer overlays, however, is the inefficient traffic and large delays, due to the mismatch between the physical network and the overlay topology. This paper introduces a locality-aware extension to a peer-to-peer publish/subscribe system, named Vitis. The ultimate purpose is to avoid communications over long-distance links, instead, nodes send data over short-distance and low-cost links, when possible, while maintaining an acceptable quality of service. We show, through simulations, that the average data delivery time is up to 40% improved. The cost to pay is at most 10% more relaying in the peer-to-peer overlay.

Place, publisher, year, edition, pages
Springer, 2012. Vol. 7272, 45-58 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7272
Keyword [en]
Locality-awareness, Peer-to-Peer, Publish/Subscribe
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-109813DOI: 10.1007/978-3-642-30823-9_4Scopus ID: 2-s2.0-84862733929ISBN: 978-364230822-2 (print)OAI: oai:DiVA.org:kth-109813DiVA: diva2:584558
Conference
12th IFIP International Conference on Distributed Applications and Interoperable Systems, DAIS 2012, Stockholm, Sweden, 13 June 2012 through 16 June 2012
Funder
ICT - The Next Generation
Note

QC 20130115

Available from: 2013-01-09 Created: 2013-01-09 Last updated: 2017-01-17Bibliographically approved
In thesis
1. Gossip-based Algorithms for Information Dissemination and Graph Clustering
Open this publication in new window or tab >>Gossip-based Algorithms for Information Dissemination and Graph Clustering
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Decentralized algorithms are becoming ever more prevalent in almost all real-world applications that are either data intensive, computation intensive or both. This thesis presents a few decentralized solutions for large-scale (i) data dissemination, (ii) graph partitioning, and (iii) data disambiguation. All these solutions are based on gossip, a light weight peer-to-peer data exchange protocol, and thus, appropriate for execution in a distributed environment.

For efficient data dissemination, we make use of the publish/subscribe communication model and provide two distributed solutions, one for topicbased and one for content-based subscriptions, named Vitis and Vinifera respectively. These systems propagate large quantities of data to interested users with a relatively low overhead. Without any central coordinator and only with the use of gossip, we build a novel topology that enables efficient routing in an unstructured overlay. We construct a hybrid system by injecting structure into an otherwise unstructured network. The resulting structure resembles a navigable small-world network that spans along clusters of nodes that have similar subscriptions. The properties of such an overlay make it an ideal platform for efficient data dissemination in large-scale systems. Our solutions significantly outperforms their counterparts on various subscription and churn scenarios, from both synthetic models and real-world traces.

We then investigate how gossiping protocols can be used, not for overlay construction, but for operating on fixed overlay topologies, which resemble graphs. In particular we study the NP-Complete problem of graph partitioning and present a distributed partitioning solution for very large graphs. This solution, called Ja-be-Ja, is based on local search and does not require access to the entire graph simultaneously. It is, therefore, appropriate for graphs that can not even fit into the memory of a single computer. Once again gossip-based algorithms prove efficient as they enable implementing light-weight peer sampling services, which supply graph nodes with partial knowledge about other nodes in the graph. The performance of our partitioning algorithm is comparable to centralized graph partitioning algorithms, and yet it is scalable and can be executed on several machines in parallel or even in a completely distributed peer-to-peer overlay. It can be used for both edge-cut and vertex-cut partitioning of graphs and can produce partition sizes of any given distribution.

We further extend the use of gossiping protocols to find natural clusters in a graph instead of producing a given number of partitions. This problem, known as graph community detection, has extensive application in various fields and communities. We take the use of our community detection algorithm to the realm of linguistics and address a well-known problem of data disambiguation. In particular, we provide a parallel community detection algorithm for cross-document coreference problem. We operate on graphs that we construct by representing documents’ keywords as nodes and the co-location of those keywords in a document as edges. We then exploit the particular nature of such graphs, which is coreferent words are topologically clustered, and thus, can be efficiently discovered by our community detection algorithm.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. x, 22 p.
Series
TRITA-ICT-ECS AVH, ISSN 1653-6363 ; 14:09
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-145361 (URN)978-91-7595-108-9 (ISBN)
Public defence
2014-05-22, Sal/Hall D, KTH - ICT, Isafjordsgatan 39, Kista, 13:00 (English)
Opponent
Supervisors
Note

QC 20140519

Available from: 2014-05-19 Created: 2014-05-19 Last updated: 2014-05-19Bibliographically approved

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Citation style
  • apa
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