Future Generation Computer Systems
Anycast-aware transport for content delivery networks
Proceedings of the 18th international conference on World wide web
Accessing data from many servers simultaneously and adaptively in data grids
Future Generation Computer Systems
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Parallel download protocols have the potential to reduce file download time and to achieve a server-side load balancing in replica systems, such as peer-to-peer networks, content distribution networks and mirrored servers, by simultaneously establishing connections to multiple replicas and downloading disjoint file parts in parallel. This paper presents TCP-PARIS, a novel parallel download protocol from multiple replicas to one receiver. Because the ideal partitioning of the transfer volume from each server is a dynamic and a difficult-to-predict function of network conditions, server load and data size, TCP-PARIS uses the stream segmentation of TCP and congestion window information to continuously adapt the assigned volume to each server in proportion to the bandwidth-delay product to best approximate the optimal data partitioning. Analytical results, simulation and Internet experiments with a transport-layer implementation characterize the performance and the resource requirements of TCP-PARIS and allow a comparison with related protocols. Extensive simulations with varying network and application parameters show download time reductions of up to 52% compared to single-flow downloads and up to 52% compared to related protocols.