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Edge-computing is one of the most promising techniques to leverage the excess capacity that exists at users' premises. Unfortunately, edge-computing may be vulnerable to free-riding, i.e., to nodes that attempt to benefit from the system without providing any service in return. Traditional approaches model free-riders as rational nodes that strive to maximize a utility and apply Game Theory concepts...
Edge-computing is one of the most promising techniques to leverage the excess capacity that exists at users' premises. Unfortunately, it may be vulnerable to free-riding, i.e., To nodes that attempt to benefit from the infrastructure without providing any service in return. In this short paper we address free-riding in the context of edge-assisted streaming and propose the use of carefully crafted...
This paper addresses the problem of maintaining replicated data in large scale P2P systems. Although this topic has been extensively studied in the literature, to maintain replicated data in this setting, in an efficient manner, still remains a significant challenge. This paper proposes novel policies to address this problem and evaluates their performance against different criteria, such as monitoring...
In this paper we present Roller chain, a novel Distributed Hash Table that offers efficient data storage through the combination of gossip-based and structured overlay networks. The unstructured component maintains clusters of fully connected nodes, where each cluster acts as a virtual node in the structured component. This architecture simplifies the management of data replication and balances the...
Recently there has been an effort to build scalable and reliable application-level multicast solutions that combine the resilience of pure gossip-based with the efficiency of tree-based schemes. However, such solutions assume that participants have unlimited resources, for instance, that they can send an unbounded number of messages to mask network omissions. Such scenario is not realistic, specially...
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