Density-Aware, Energy- and Spectrum-Efficient Small Cell Scheduling

Request Density Aware Fair Memory Scheduling

With the rapid advances in semiconductor process technology and microarchitecture, the speed gap between the clock cycle time of processor cores and that of memory systems has increased significantly. To solve this problem, memory system should be efficiently managed. In general, since a thread with fewer requests has a large capability to improve the total execution performance by being priori...

Self-Tuning Energy-Aware Multichannel (STEAM) Scheduling

Energy-Aware Multi-Organization Scheduling Problem

Scheduling algorithms for shared platforms such as grids and clouds granted users of different organizations access to powerful resources and may improve machine utilization; however, this can also increase operational costs of less-loaded organizations. We consider energy as a resource, where the objective is to optimize the total energy consumption without increasing the energy spent by a sel...

Parallel Evolutionary Algorithms for Energy Aware Scheduling

Reducing energy consumption is an increasingly important issue in computing and embedded systems. In computing systems, minimizing energy consumption can significantly reduces the amount of energy bills. The demand for computing systems steadily increases and the cost of energy continues to rise. In embedded systems, reducing the use of energy allows to extend the autonomy of these systems. In ...

Energy Aware Task Scheduling in Data Centers

Nowadays energy consumption problem is a major issue for data centers. The energy consumption increases significantly along with its CPU frequency getting higher. With Dynamic Voltage and Frequency Scaling (DVFS) techniques, CPU could be set to a suitable working frequency during the running time according to the workload. On the other side, reducing frequency implies that more servers will be ...