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The widespread of interconnectable computers gives systems the chance to operate more efficiently, by better utilizing the cooperation between individual components. User-centric solutions address the devices themselves and, since there is no network infrastructure and a device powerful enough to assume the role of a coordinator, adopting a peer-to-peer model tends to be the best solution. In this...
In this era of Big Data, large graphs appear in many scientific domains. To extract the hidden knowledge/correlations in these graphs, novel methods need to be developed to analyse these graphs fast. In this paper, we present a unified framework of stochastic matrix-function estimators, which allows one to compute a subset of elements of the matrix f(A), where f is an arbitrary function and A is the...
Reservation mechanisms have been used to guarantee users' access to cluster resources at the desired time instead of adopting a batch mode processing, where jobs are processed at the nearest time in the future, risking to wait an uncertain amount of time before being run. Allowing the cluster to accept reservations, besides queued jobs, has a major impact on the average response and waiting time of...
With the growth of the Cloud Computing paradigm, a new challenge appears in the development of data centers: energy efficient load balancing in a dynamic and scalable environment with an undefined number of heterogeneous resources. In this context, considering that idle servers consume up to 60% of peak energy and the fact that usually the level of usage for a server is 20–30%, new load balancing...
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