An adaptive data replication algorithm
ACM Transactions on Database Systems (TODS)
Dynamic parallel access to replicated content in the internet
IEEE/ACM Transactions on Networking (TON)
Analysis of Parallel Downloading for Large File Distribution
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
On the Effect of Large-Scale Deployment of Parallel Downloading
WIAPP '03 Proceedings of the The Third IEEE Workshop on Internet Applications
Future Generation Computer Systems
Accessing data from many servers simultaneously and adaptively in data grids
Future Generation Computer Systems
Parallel state transfer in object replication systems
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
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In this paper, we describe adPD, an improved parallel downloading approach for Peer-to-Peer environment. adPD assigns each server equal portion of file as large as possible, and ensures client downloading from each server without interrupt. And after faster servers finish their own work, adPD reallocates part of unfinished work of some slower servers to them. This reallocation is proportional to the ratio of server speed. By this means, adPD dynamically adjusts the proportion of a file retrieved from each server during the downloading process to match the bandwidth of each connection, and also reduces the number of block requests as many as possible. Our experiment results show that adPD is an effective parallel download scheme in Peer-to-Peer environment.