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In this paper, we propose an energy demand scheduling using integer linear programming (ILP) to optimize energy for residential consumers. Then, we introduce a new algorithm which prioritize load appliances according to the real-time energy demand. Simulation results confirm that the proposed model can efficiently manage energy demand while considering consumers preferences.
The large computing capacity provided by grid systems is beneficial for solving complex problems by using many nodes of the grid at the same time. The usefulness of a grid system largely depends, among other factors, on the efficiency of the system regarding the allocation of jobs to grid resources. This paper proposes an Roulette Wheel Selection Genetic Algorithm using Best Rank Power(PRRWSGA) for...
One has a large workload that is ldquodivisiblerdquo-its constituent work's granularity can be adjusted arbitrarily;-and one has access to p remote computers that can assist in computing the workload. The problem is that the remote computers are subject to interruptions of known likelihood that kill all work in progress. One wishes to orchestrate sharing the workload with the remote computers in a...
A new quality metric, called area, is introduced for schedules that execute dags, i.e., computations having intertask dependencies. Motivated by the temporal unpredictability encountered when computing over the Internet, the goal under the new metric is to maximize the average number of tasks that are eligible for execution at each step of a computation. Area-maximization is a weakening of IC-optimality,...
Strategies are developed for "fattening" the tasks of computation-dags so as to accommodate the heterogeneity of remote clients in Internet-based computing (IC). Earlier work has developed the underpinnings of IC-scheduling theory, an algorithmic framework for scheduling computations having intertask dependencies for IC. The theory's schedules strive to render tasks eligible for execution...
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