Description
| Title | Scalable Discovery of Private Resources |
| Abstract | Resource discovery is fundamental to a multitude of distributed systems, including grids, web-based applications and multi-agent systems. To achieve scalability at a low cost, many researchers have turned to a peer-to-peer paradigm, leading to the development of a multitude of protocols and algorithms being developed, with implementations still lagging behind. In this presentation we consider the privacy implications of peer-to-peer discovery systems and propose a framework for discovery of private resources. Furthermore, we propose and evaluate an architecture and a series of methods using distributed hash tables. Finally, we provide an implementation in the context of the OpenKnowledge project. |
Other presentations by Ronald Siebes
| Date | Title |
|---|---|
| 16 October 2006 | |
| 15 October 2007 | |
| 19 May 2008 | Scalable Discovery of Private Resources |
| 09 February 2009 | RDF management inspired by the unix GIT versioning system. |
| 30 November 2009 | Choosing identifiers for video content inspired by FRBR, and a simple access policy system for your rdf database inspired by Jeremy's warrants. |
| 06 January 2014 | Parademo, a retrospective voting advise platform and organic and dynamic trust network selecting experts that help our politicians in their daily complex decision making processes |
| 29 September 2014 | "Deep Learning the Semantic Web?" |
| 03 October 2016 | Big Data Europe and the seven Horizon2020 challenges |