A hybrid approach to modeling end-to-end delay in P2P networks
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking
Designing benchmarks for P2P systems
From active data management to event-based systems and more
Designing a testbed for large-scale distributed systems
Proceedings of the ACM SIGCOMM 2011 conference
An approach to peer selection in service overlays
Proceedings of the 7th International Conference on Network and Services Management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Peer selection in p2p service overlays using geographical location criteria
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Juno: A Middleware Platform for Supporting Delivery-Centric Applications
ACM Transactions on Internet Technology (TOIT)
Benchmarking Peer-to-Peer Systems
Decentralized monitoring in peer-to-peer systems
Benchmarking Peer-to-Peer Systems
A Local Heuristic for Latency-Optimized Distributed Cloud Deployment
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
| Hi-index | 0.00 |
Existing approaches for modelling the Internet delay space predict end-to-end delays between two arbitrary hosts as static values. Further, they do not capture the characteristics caused by geographical constraints. Peer-to-peer (P2P) systems are, however, often very sensitive to the underlying delay characteristics of the Internet, since these characteristics directly influence system performance. This work proposes a model to predict lifelike delays between a given pair of end hosts. In addition to its low delay computation time, it has only linear memory costs which allows large scale P2P simulations to be performed. The model includes realistic delay jitter, subject to the geographical position of the sender and the receiver. Our analysis, using existing Internet measurement studies reveals that our approach seems to be an optimal tradeoff between a number of conflicting properties of existing approaches.