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Although cellular networks can be provisioned according to the peak demand, they usually experience large fluctuations in both channel conditions and traffic load level. Scheduling with both channel and load awareness allows us to exploit the delay tolerance of data traffic to alleviate network congestion, and thus reduce the peak. However, solving the optimal scheduling problem leads to a large-scale...
Scheduling delay-tolerant tasks based on both load-and channel-awareness can significantly reduce the peak demand in cellular networks. However, solving the optimal scheduling problem leads to a large-scale Markov Decision Process (MDP) with extremely high complexity. In this work, we propose a scalable and distributed approach to this problem, called Coordinated Scheduling (CoSchd). CoSchd decomposes...
Modern scientific data-intensive applications brought about the need for novel data transfer technologies and automated tools capable of effectively utilizing available raw network bandwidth and intelligently assisting scientists in replicating large volumes of data to desired locations in a timely manner. In this paper we describe the design of StorNet, an integrated end-to-end resource provisioning...
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