CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
A diffusion-based ACO resource discovery framework for dynamic p2p networks
Authors
Alejandro Catalá Bolós
Francisco Javier Jaén Martínez
Kamil Krzysztof Krynicki
Publication date
20 June 2013
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Cite
Abstract
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksThe Ant Colony Optimization (ACO) has been a very resourceful metaheuristic over the past decade and it has been successfully used to approximately solve many static NP-Hard problems. There is a limit, however, of its applicability in the field of p2p networks; derived from the fact that such networks have the potential to evolve constantly and at a high pace, rendering the already-established results useless. In this paper we approach the problem by proposing a generic knowledge diffusion mechanism that extends the classical ACO paradigm to better deal with the p2p's dynamic nature. Focusing initially on the appearance of new resources in the network we have shown that it is possible to increase the efficiency of ant routing by a significant margin.Kamil Krynicki is supported by a FPI fellowship from the Universitat Politècnica de València with reference number 3117. This work received financial support from the Spanish Ministry of Education under the National Strategic Program of Research and Project TSI2010-20488.Krynicki, KK.; Jaén Martínez, FJ.; Catalá Bolós, A. (2013). A diffusion-based ACO resource discovery framework for dynamic p2p networks. En 2013 IEEE Congress on Evolutionary Computation. IEEE. 860-867. https://doi.org/10.1109/CEC.2013.6557658S86086
Similar works
Full text
Available Versions
RiuNet
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:riunet.upv.es:10251/67330
Last time updated on 25/12/2019
RiuNet
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:riunet.upv.es:10251/67330
Last time updated on 04/02/2021
RiuNet
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:riunet.upv.es:10251/67330
Last time updated on 05/02/2021