Job Scheduling Model for Cloud Computing Based on Multi- Objective Genetic Algorithm

Provided by: International Journal of Computer Science Issues
Topic: Cloud
Format: PDF
Cloud computing is an emerging high performance computing environment with a large scale, heterogeneous collection of autonomous systems and flexible computational architecture. To improve the overall performance of cloud computing, with the deadline constraint, a task scheduling model is established for reducing the system power consumption of cloud computing and improving the profit of service providers. For the scheduling model, a solving method based on Multi-Objective Genetic Algorithm (MO-GA) is designed and the research is focused on encoding rules, crossover operators, selection operators and the method of sorting Pareto solutions.

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