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Developing distributed multiplayer games for ad-hoc networks is challenging. Consistency of the replicated shared state is hard to ensure at a low cost. Current consistency models and middleware systems lack the required adaptability and efficiency when applied to ad-hoc gaming. Hence, developing such robust applications is still a daunting task. We propose(More)
There have been a few proposals aiming at bridging the gap between institutional grid infrastructures (e.g., Globus-based), popular cycle-sharing applications (e.g., SETI@home), and massively used decentralized P2P file-sharing applications. Nonetheless, no such infrastructure was ever successful in allowing, in a large-scale, home users to run popular(More)
The use of utility on-demand computing infrastructures, such as Amazon's Elastic Clouds [1], is a viable solution to speed lengthy parallel computing problems to those without access to other cluster or grid infrastructures. With a suitable middleware, bag-of-tasks problems could be easily deployed over a pool of virtual computers created on such(More)
Data replication is a very relevant technique for improving performance, availability and scalability. These are requirements of many applications such as multiplayer distributed games, cooperative software tools, etc. However , consistency of the replicated shared state is hard to ensure. Current consistency models and middleware systems lack the required(More)
—Community networks offer a shared communication infrastructure where communities of citizens build and own open networks. While the IP connectivity of the networking devices is successfully achieved, the number of services and applications available from within the community network is typically small and the usage of the community network is often limited(More)
Currently, cycle sharing over the Internet is a one-way deal. Computer owners only have one role in the process: to donate their computers' idle time. This is due to the fact that it is difficult for an ordinary user to install the required infrastructure, develop the processing applications and gather enough computer cycle donors. In this paper we describe(More)
—Programming distributed applications supporting data sharing is very hard. In most middleware platforms, programmers must deal with system-level issues for which they do not have the adequate knowledge, e.g., object replication, abusive resource consumption by mobile agents, and distributed garbage collection. As a result, programmers are diverted from(More)