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Collaborative informed gateway selection in large-scale and heterogeneous
dc.contributor.author | Batbayar, Khulan |
dc.contributor.author | Dimogerontakis, Emmanouil |
dc.contributor.author | Meseguer Pallarès, Roc |
dc.contributor.author | Navarro Moldes, Leandro |
dc.contributor.author | Sadre, Ramin |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat Erasmus Mundus en Computació Distribuïda |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2019-07-30T07:25:08Z |
dc.date.issued | 2019 |
dc.identifier.citation | Batbayar, K. [et al.]. Collaborative informed gateway selection in large-scale and heterogeneous. A: IFIP/IEEE International Symposium on Integrated Network Management. "2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2019): Arlington, Virginia, USA: 8-12 April 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 337-345. |
dc.identifier.isbn | 9781728106182 |
dc.identifier.other | http://dl.ifip.org/db/conf/im/im2019/189253.pdf |
dc.identifier.uri | http://hdl.handle.net/2117/167065 |
dc.description.abstract | In wireless community access networks, clients tend to reach the Internet through multiple gateway nodes instead of a single default gateway. The mapping of gateways to clients should take into account the perception of network performance from each client node. Network conditions and traffic load can fluctuate and make repeated client-gateway measurements necessary. However, frequent measurements would result in a high communication overhead as well as high processing overhead in gateways and clients. We propose a lightweight client-side gateway selection algorithm by crowd-sourcing monitoring information from neighbor clients, without requiring explicit topology information or a detailed view of the network, while providing an accurate selection as compared to an ideal omniscient approach. Our collaborative gateway selection algorithm achieves good end-to-end performance, such as low latency perceived at client nodes, and fair distribution of the measurements over the gateway nodes. The number of performance measurements triggered by clients are reduced drastically, from n down to 2 measurements per node in each period. An experimental evaluation of our approach shows more than 80% similarity estimation of the gateway performance in the majority of the considered cases. We propose two variants of the gateway selection algorithm, collaborative-best and collaborative-fair, which yield near optimal gateway selection while utilizing partial information. |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors |
dc.subject.lcsh | Wireless LANs |
dc.subject.lcsh | Internet (Computer network) |
dc.subject.other | Internet |
dc.subject.other | Internetworking |
dc.subject.other | Network servers |
dc.subject.other | Radio access networks |
dc.subject.other | Telecommunication network topology |
dc.subject.other | Telecommunication traffic |
dc.title | Collaborative informed gateway selection in large-scale and heterogeneous |
dc.type | Conference report |
dc.subject.lemac | Xarxes locals sense fil Wi-Fi |
dc.subject.lemac | Internet |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8717879 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 25735408 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/688768/EU/network infrastructure as commons/netCommons |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/TIN2016-77836-C2-2-R |
dc.date.lift | 10000-01-01 |
local.citation.author | Batbayar, K.; Dimogerontakis, E.; Meseguer, R.; Navarro, L.; Sadre, R. |
local.citation.contributor | IFIP/IEEE International Symposium on Integrated Network Management |
local.citation.publicationName | 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2019): Arlington, Virginia, USA: 8-12 April 2019 |
local.citation.startingPage | 337 |
local.citation.endingPage | 345 |