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We describe a P2P system that offers a distributed, cooperative and adaptive environment for bookmark sharing. DAD offers an adaptive environment since it provides suggestions about the navigation based on (a) the bookmarks, (b) the feedback implicitly provided by users and (c) the structure of the Web. Our system is fully scalable because of its… (More)

Motivated by applications in sociology, economy and medicine, we study variants of the Target Set Selection problem, first proposed by Kempe, Kleinberg and Tardos. In our scenario one is given a graph G = (V, E), integer values t(v) for each vertex v (thresholds), and the objective is to determine a small set of vertices (target set) that activates a given… (More)

Earlier work has developed the underpinnings of IC-Scheduling Theory, a framework for scheduling computations having intertask dependencies—modeled via dags— for Internet-based computing. The goal of the schedules produced is to render tasks eligible for execution at the maximum possible rate, with the dual aim of: (a) utilizing remote clients'… (More)

Earlier work has developed the rudiments of a scheduling theory for computations having intertask dependencies—modeled via dags—for Internet-based computing. The goal of the schedules produced is to render tasks eligible for execution as fast as possible, with the aim of: (a) utilizing clients' computational resources well, by always having work to allocate… (More)

Earlier work has developed the underpinnings of IC-Scheduling theory, an algorithmic framework for scheduling computations having intertask dependencies for Internet-based computing (IC). The Theory aims to produce schedules that render tasks eligible for execution at the maximum possible rate, so as to: (a) utilize remote clients' computational resources… (More)

We propose a family of novel Chord-based P2P schemes retaining all positive aspects that made Chord a popular topology for routing in P2P networks. The schemes, based on the Fibonacci number system, allow to simultaneously improve on the maximum/average number of hops for lookups and the routing table size per node.

—We focus on agent-based simulations where a large number of agents move in the space, obeying to some simple rules. Since such kind of simulations are computational intensive, it is challenging, for such a contest, to let the number of agents to grow and to increase the quality of the simulation. A fascinating way to answer to this need is by exploiting… (More)

We present the theoretical foundation, the design and the implementation of a library, called EulerVC to interactively handle Euler diagrams for the purposes of resource management. Fast on-line algorithms to interpret wellformed diagrams have been developed utilising a new notion of marked points to keep track of the zone sets. The interface allows the… (More)

We define a family of Distributed Hash Table systems whose aim is to combine the routing efficiency of randomized networks—e.g. optimal average path length O(log 2 n/δ log δ) with δ degree—with the programmability and startup efficiency of a uniform overlay—that is, a deterministic system in which the overlay network is transitive and greedy routing is… (More)

We propose routing schemes that optimize the average number of hops for lookup requests in Peer–to–Peer (P2P) systems without adding any overhead to the system. Our work is inspired by the recently introduced variation of greedy routing, called neighbor–of–neighbor (NoN), which allows to get optimal average path length with respect to the degree. Our… (More)