Recent studies have shown that the Internet-related energy consumption represents a significant, and increasing, part of the overall energy consumption of our society. Therefore, it is extremely important to look for energy-efficient Internet applications and protocols. The largest contribution to this energy consumption is due to Internet edge devices (PCs and data centers). As a particularly ...

Data-centric applications are still a challenging issue for large scale distributed computing systems. The emergence of new protocols and software for collaborative content distribution over Internet offers a new opportunity for efficient and fast delivery of high volume of data. In a previous paper, we have investigated BitTorrent as a protocol for data diffusion in the context of Computationa...

Peer-to-Peer file distribution is an attractive alternative to IP multicast for efficient dissemination of large files and media streams from one source to a large number of receivers. Typically, the file being distributed is divided into a number of blocks, which the source sends to different receivers. All the receivers serve both as a sender and as a receiver, and are organized into an overl...

In a large-scale BitTorrent-like peer-to-peer file sharing system, the track server could be overloaded to update the state information of constantly arriving and leaving peers. Upon the connection request from a peer, the track server responses with a random list of peers and such randomly selected peers among the whole peer-to-peer network could create a long delay of file sharing between two...

BitTorrent [1] is popular file-sharing tool, accounting for a significant proportion of Internet traffic. Files are divided into fragments and transferred out of order among nodes trying to download them. Individual nodes penalize and reward other nodes, adjacent in the BitTorrent overlay, depending on how willing others are to share data. This incentives scheme and the subsequent enforcement o...

Despite the tremendous success of BitTorrent, its swarming system suffers from a fundamental limitation: lower or no availability of unpopular contents. Recently, Menasche et al. has shown that bundling 1 is a promising solution to mitigate this availability problem; it improves the availability and reduces download times for unpopular contents by combining multiple files into a single swarm. T...