Peer Selection in P2P Service Overlays using Geographical Location Criteria Adriano Fiorese 1,2 , Paulo Sim˜ oes 1 and Fernando Boavida 1 1 Centre for Informatics and Systems of the University of Coimbra - CISUC Department of Informatics Engineering - DEI University of Coimbra - UC - Portugal fi[email protected]2 Departament of Computer Science - DCC University of the State of Santa Catarina - UDESC 889219-710 Joinville, SC, Brazil fi[email protected]Jun 18, 2012 Adriano Fiorese (UC,UDESC) ICCSA 2012 Jun 18, 2012 1 / 14
14
Embed
Peer Selection in P2P Service Overlays using Geographical Location Criteria Adriano Fiorese - State University of Santa Catarina /University of Coimbra Paulo Simões, Fernando Boavida
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Peer Selection in P2P Service Overlays usingGeographical Location Criteria
Adriano Fiorese1,2, Paulo Simoes1 and Fernando Boavida1
1Centre for Informatics and Systems of the University of Coimbra - CISUCDepartment of Informatics Engineering - DEI
Services and service components are becoming basic elements ofinteraction among service providers.
Service Overlay Networks (SON) may act as an infrastructure whereservices are published/offered and to which users access in order tolocate, select and use those services.
P2P technology helps to create self-organizing Service OverlayNetworks in several levels.
Therefore, services and service components are offered in a P2P SON.
In order to maximize performance, the best peer must be found in theP2P SON, among all the potential partners that provide the desiredservice.
BPSS is part of an architecture for Services Management in P2Penvironments called OMAN, proposed previously in Fiorese et al.,OMAN - A Management Architecture for P2P Service OverlayNetworks, AIMS 2010.
BPSS is responsible for select the best peer for interacting with arequesting peer, regarding a particular service and metric.
BPSS runs over a P2P SON at the same level of a second overlay-tiercalled AgS responsible for speedup search operations.
SON peers can request best peer information (select BP), regarding aparticular service, from the BPSS module.
BPSS answers with the best peer regarding the agreeded metric.
Developed by Kaune et al. (2009) - Modelling the Internet delay spacebased on geographical locations.
It is based on a predictive model of the Internet delay space that takesinto account the geographical location of nodes and the delay betweenthem.
It uses a rich set of real Internet measured data namely end-to-endround trip time and end-to-end link jitter.
These data are mapped into a 5-dimensions Euclidean space model ofthe Internet combining it with global network positioning information.
Metric
Using the coordinates of each peer in this 5-dimensions model, it is thenpossible to calculate the Euclidean distance between peers, taking intoaccount not only network conditions but also peer location.
Taking the sum of best peers and second-best peers by domain, SONpeers in the requester’s domain (Portugal) were selected as best peersin 27% of the time, followed by Spain (22.5%), Italy (22%), Germany(14.5%) and France (13%).
This means that almost half the best peer selections resulted in peersbelonging to the same geographical domain or to the neighboringgeographical domain.
Obtained results have shown that BPSS performs well and that theoverall OMAN architecture - of which the AgS service is a keycomponent - is very effective.