This paper focuses on scheduling applications in large-scale data centers using genetic algorithm. Specifically, we present the design and implementation of the ...

This paper focuses on scheduling applications in large-scale data centers using genetic algorithm. Specifically, we present the design and implementation of the ...

The approach is based on Genetic Algorithms. The simulation results show that the proposed algorithm is very effective and reduces the energy consumption ...

Abstract: Cloud computing is a sophisticated technology which provides services to the end users within a fraction of time based on pay-as-you-go model.

In this paper, we present a static scheduling approach to integrate task mapping, scheduling and voltage selection to minimize energy consumption of real-time ...

We tried to conduct a survey on different scheduling methods of energy minimization in cloud data centers and their limitations and at the end of this paper, we ...

This paper uses Dynamic Voltage Scaling (DVS) to minimize energy consumption and proposes two algorithms that adopt the genetic algorithm to parallel find ...

A genetic algorithm based scheduling approach is proposed in which initial population is generated with advance version of Max Min to get more optimize ...

The proposed method is based on the principle of Genetic Algorithm (GA). In the context of task-scheduling using GA, chromosomal representation is considered as ...

An energy-aware task scheduling algorithm (EAMM) algorithm based ... based application in ... Energy aware scheduling using genetic algorithm in cloud data centers.