More and more researchers have put their emphases on peer-to-peer streaming services, which can provide massive and cheap video-on-demand services. Data dissemination is one of the most important open problems when providing peer-to-peer streaming services, including live streaming and videoon-demand. Considering the performance and fault-tolerance of streaming systems, content should be distri...

Sharing huge databases in distributed systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer sufficient. A practical approach is to rely on compact database summaries rather than raw database records, whose access is costly in large distributed systems. In this paper, we propose PeerSum, a new service for managing summaries over sh...

Following the seminal work of Unger et al. based on building mesh-like structures on top of a P2P network, we introduced an improved version of Compass a routing and load balancing algorithm based on direction-scopes for message delivery in such kind of networks. In this paper we evaluate and compare the performance of this scope-based Compass against the self-balanced and self-adaptive routing...

This paper describes a peer-to-peer system design and implementation assignment for a distributed systems course at an advanced undergraduate level, or a first-year graduate level. The assignment consists of four stages, and provides students a good, practical understanding of some of the key distributed computing concepts. These include issues of decentralization, managing distributed informat...

MapReduce is a programming model for parallel data processing widely used in Cloud computing environments. Current MapReduce implementations are based on centralized master-slave architectures that do not cope well with dynamic Cloud infrastructures, like a Cloud of clouds, in which nodes may join and leave the network at high rates. We have designed an adaptive MapReduce framework, called P2P-...

Standard based Pub/Sub middleware, such as OMG Data Distribution Service (DDS), could assume a key role in supporting computer communications requiring continuous state information updating, deterministic deadline to data delivering and real time information adjourning. This kind of capability could be well exploited by Peer-To-Peer (P2P) systems, Internet-wide as long as private ones, like in ...

During the last years, cloud computing has been quickly adopted worldwide, and several solutions have emerged. Cloud computing is used to providing storage service, computing power and flexibility to end-users, in order to access data from anywhere at any time. Although, all benefits introduced by cloud computing, this technology still faces several challenges related to privacy, security, robu...

Despite their crucial impact on the performances of p2p systems, very few is known on peers behaviors in such networks. We propose here a study of these behaviors in a running environment using a semicentralised p2p system (eDonkey). To achieve this, we use a trace of the queries made to a large server managing up to fifty thousands peers simultaneously, and a few thousands queries per second. ...

The increasing popularity of network-based multimedia applications poses many challenges for content providers to supply efficient and scalable services. Peer-to-peer (P2P) systems have been shown to be a promising approach to provide large-scale video services over the Internet since, by nature, these systems show high scalability and robustness. In this paper, we propose and analyze an object...

Peer-to-peer (P2P) networks are becoming an important medium for the distribution of consumer information goods. However, there is little academic research into the behavior of these networks. We analyze the impact of positive and negative network externalities on the optimal size of P2P networks. Using data collected from the six most popular OpenNap P2P music-sharing networks between December...