IEEE/ACM Transactions on Networking (TON)
Approximation algorithms for data placement in arbitrary networks
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
A hybrid motion prediction method for caching and prefetching in distributed virtual environments
VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
A multi-server architecture for distributed virtual walkthrough
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
Steiner-Optimal Data Replication in Tree Networks with Storage Costs
IDEAS '01 Proceedings of the International Database Engineering & Applications Symposium
Simpler and better approximation algorithms for network design
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Improved Combinatorial Algorithms for the Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Supporting Cooperative Caching in Ad Hoc Networks
IEEE Transactions on Mobile Computing
The hardness of cache conscious data placement
Nordic Journal of Computing
Efficient cache placement in multi-hop wireless networks
IEEE/ACM Transactions on Networking (TON)
Benefit-Based Data Caching in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Adaptive caching with heterogeneous devices in mobile peer to peer network
Proceedings of the 2008 ACM symposium on Applied computing
VSculpt: a distributed virtual sculpting environment for collaborative design
IEEE Transactions on Multimedia
An O(pn2) algorithm for the p -median and related problems on tree graphs
Operations Research Letters
Advances in ubiquitous media technologies and applications
World Wide Web
Hi-index | 0.00 |
Mobile Peer to Peer (MP2P) networks provide decentralization, self-organization, scalability characters, but suffer from high latency and link break problems. In this paper, we study the cache/replication placement and cache update problems arising in such kind of networks. While researchers have proposed various replication placement algorithms to place data across the network to address the problem, it was proven as NP-hard. As a result, many heuristic algorithms have been brought forward for solving the problem. In this article, we propose an effective and low cost cache placement strategy combined with an update scheme which can be easily implemented in a decentralized way. The contribution of this paper is the adaptive and flexible cache placement and update algorithms designed for real MP2P network usage. The combination of MP2P cache placement and update is the novelty of this article. Extensive experiments are conducted to demonstrate the efficiency of the cache placement and update scheme.