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Demand response is a key component of existing and future grid systems facing increased variability and peak demands. Scaling demand response requires efficiently predicting individual responses for large numbers of consumers while selecting the right ones to signal. This paper proposes a new online learning problem that captures consumer diversity, messaging fatigue and response prediction. We use...
Distributed system is a set of resources interconnected by a network. Grid computing systems are distributed system designed by integrating heterogeneous resources with different characteristics. These heterogeneous computing resources are designed for highly complex programs that require high processing power and huge volume of input data. Large scale applications such as meteorological simulations,...
In distributed computing environment, divisible load technique is used to speedup the completion time of a parallel task by splitting a huge task into a smaller grain size jobs where jobs can be executed remotely by other nodes. Due to the heterogeneity of computing nodes, load balancing technique is employed to distribute workload evenly across distributed nodes in order to reduce the overall response...
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