Dual proximity neighbour selection method for peer-to-peer-based discovery service

2007 ◽  
Author(s):  
Piotr Karwaczyński ◽  
Dariusz Konieczny ◽  
Jaka Moçnik ◽  
Marko Novak
Keyword(s):  
Selection Method ◽  
Peer To Peer ◽  
Discovery Service

scholarly journals A DHT-Based Discovery Service for the Internet of Things

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Federica Paganelli ◽  
David Parlanti
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Future Internet ◽  
Peer To Peer ◽  
The Internet ◽  
Dangerous Goods ◽  
Discovery Service ◽  
Single Attribute ◽  
Smart Things ◽  
The Internet Of Things

Current trends towards the Future Internet are envisaging the conception of novel services endowed with context-aware and autonomic capabilities to improve end users’ quality of life. The Internet of Things paradigm is expected to contribute towards this ambitious vision by proposing models and mechanisms enabling the creation of networks of “smart things” on a large scale. It is widely recognized that efficient mechanisms for discovering available resources and capabilities are required to realize such vision. The contribution of this work consists in a novel discovery service for the Internet of Things. The proposed solution adopts a peer-to-peer approach for guaranteeing scalability, robustness, and easy maintenance of the overall system. While most existing peer-to-peer discovery services proposed for the IoT support solely exact match queries on a single attribute (i.e., the object identifier), our solution can handle multiattribute and range queries. We defined a layered approach by distinguishing three main aspects: multiattribute indexing, range query support, peer-to-peer routing. We chose to adopt an over-DHT indexing scheme to guarantee ease of design and implementation principles. We report on the implementation of a Proof of Concept in a dangerous goods monitoring scenario, and, finally, we discuss test results for structural properties and query performance evaluation.

scholarly journals Design of P2P-SIP System Network Structure Based on JXTA

CONVERTER ◽  
2021 ◽  
pp. 59-64
Author(s):  
Lei Shi, Chen Shi, Hongying Wang
Keyword(s):  
Implementation Process ◽  
Peer To Peer ◽  
P2p Network ◽  
Voice Over Internet Protocol ◽  
Collaborative Process ◽  
Development Platform ◽  
Sip Protocol ◽  
Discovery Service ◽  
Depth Study ◽  
Service Aggregation

Session Initiation Protocol (SIP) is one of the most important signaling connection protocols in the field of VoIP (Voice over Internet Protocol). However, the existing SIP network has some problems such as manual configuration, difficult maintenance and poor scalability. With the development of P2P (Peer-to-Peer) technology, the combination of SIP and P2P has become a trend. JXTA is an open peer-to-peer platform, which provides basic application services for building P2P network. The topic chooses JXTA development platform to build P2P network, and then constructs SIP soft terminal on it. Based on the in-depth study of JXTA structured network and SIP protocol, a P2P SIP system is designed and implemented. The system can maintain normal SIP communication without maintaining the central server. In this paper, the detailed design and implementation process of P2P-SIP system are given, including node join and leave, user join, user search and session establishment. This paper focuses on the implementation process of user search, that is, the collaborative process of discovery service, resolution service, aggregation service and endpoint routing service. Finally, the feasibility of the system is verified by functional test.

Peer-to-Peer Lending Platform Selection Using Intuitionistic Fuzzy Soft Set and D-S Theory of Evidence

2019 ◽  
Vol 27 (01) ◽  
pp. 1-17 ◽  
Author(s):  
Xiaodong Feng ◽  
Zhi Xiao ◽  
Xianning Wang ◽  
Bo Zhong
Keyword(s):  
Weighted Average ◽  
Real Data ◽  
Selection Method ◽  
Peer To Peer ◽  
Soft Set ◽  
Fuzzy Soft Set ◽  
Subjective Data ◽  
Intuitionistic Fuzzy ◽  
P2p Lending ◽  
Theory Of Evidence

Peer-to-Peer (P2P) lending brings many benefits for both lenders and borrowers, as well as risk for them, especially for the lenders. To help the lenders select a reliable P2P lending platform with high return and low risk, a more comprehensive selection method is necessary. However, vast information with fluctuant, fuzzy and subjective data on the P2P lending platform make it more difficult for lenders to make the right choice. This paper intends to propose a selection method by using intuitionistic fuzzy soft set to organize the data, and using D-S theory of evidence to integrate the intuitionistic fuzzy values. Besides, the paper analyses the critical factors affecting the lenders’ decision, and presents some indicators for evaluating. Finally, an empirical experiment was given by choosing several P2P lending platforms with real data, and the results are compared with the intuitionistic fuzzy weighted average and Development Index from Wangdaizhijia, that verify the validity and superiority of the proposed method.

scholarly journals An Adaptive Proximity Route Selection Method in DHT-Based Peer-to-Peer Systems

2006 ◽  
Vol 13A (1) ◽  
pp. 11-18
Author(s):  
Ji-Young Song ◽  
Sae-Young Han ◽  
Sung-Yong Park
Keyword(s):  
Selection Method ◽  
Peer To Peer ◽  
Route Selection ◽  
Peer To Peer Systems

Experten aus Erfahrung

PADUA ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Jörg Haslbeck
Keyword(s):  
Soziale Unterstützung ◽  
Peer To Peer

Zusammenfassung. In der Gesundheitsversorgung von Menschen, die mit chronischen Krankheiten leben, wird soziale Unterstützung durch «peers» immer bedeutsamer, d. h. durch Personen, die aufgrund ähnlicher Krankheits- und Alltagserfahrungen in einer vergleichbaren Lebenssituation sind. Welche Potenziale, Chancen sowie Grenzen hat «peer-to-peer healthcare» im Kontext von Selbstmanagementförderung? Der Beitrag diskutiert dies anhand von Erfahrungen mit dem Stanford Kursprogramm «Gesund und aktiv leben».

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