On neighbor-selection strategy in hybrid peer-to-peer networks

Authors:
Simon G. M. Koo;Karthik Kannan;C. S. George Lee
Affiliations:
Department of Mathematics and Computer Science, University of San Diego, CA;Krannert School of Management, Purdue University, West Lafayette, IN;School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN
Venue:
Future Generation Computer Systems - Systems performance analysis and evaluation
Year:
2006

Citing 7
Cited 11

Genetic Algorithms

Genetic Algorithms
Informed content delivery across adaptive overlay networks

Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Analysis of Parallel Downloading for Large File Distribution

FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
The Effect of Peer Selection and Buffering Strategies on the Performance of Peer-to-Peer File Sharing Systems

MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
[16] A Definition of Peer-to-Peer Networking for the Classification of Peer-to-Peer Architectures and Applications

P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Combinatorial Auction Design

Management Science
P2P contracts: a framework for resource and service exchange

Future Generation Computer Systems - Special issue: P2P computing and interaction with grids

Peer-to-Peer resource discovery in Grids: Models and systems

Future Generation Computer Systems
Fault-tolerant peer-to-peer search on small-world networks

Future Generation Computer Systems
Structuring connections between content delivery servers groups

Future Generation Computer Systems
Fast information processing over business networks

AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
Grey-box mechanism design in peer-to-peer cooperative networking

ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
An Evaluation Criterion for Adaptive Neighbor Selection in Heterogeneous Peer-to-Peer Networks

MMNS 2009 Proceedings of the 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Wired-Wireless Multimedia Networks and Services Management
Multi-objective peer-to-peer neighbor-selection strategy using genetic algorithm

HiPC'07 Proceedings of the 14th international conference on High performance computing
Resisting free-riding behavior in BitTorrent

Future Generation Computer Systems
Optimizing peer selection in BitTorrent networks with genetic algorithms

Future Generation Computer Systems
FRDT: Footprint Resource Discovery Tree for grids

Future Generation Computer Systems
LONET: An interactive search network for intelligent lecture path generation

ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently, computer users have increased their interests in downloading large-volume contents like movies and software from the Internet, and a new generation of peer-to-peer (P2P) file-swapping applications that aims at improving the efficiency of transfer are gaining popularity. In these P2P applications, a central "tracker" decides about which peer becomes a neighbor to which other peers. This decision critically dictates the distribution efficiency. In this paper, we investigate the neighbor-selection process in this new category of P2P networks, and we propose an efficient neighbor-selection strategy that performs better than the existing ones. We show that by increasing the content availability of peers from their immediate neighbors, it can significantly improve system performance without trading off users' satisfaction. We also show that the proposed strategy is incentive-compatible and is suitable for real-time deployment.