The need for green computing has become increasingly important with the growing demand for computing services. Efficient energy management is crucial in reducing energy wastage and creating a healthier environment. One approach to achieve energy savings is through task scheduling, where tasks are allocated to resources in a way that minimizes energy consumption. Other strategies in saving of energy include using scaled hardware components that some low power for their operation, optimizing software, and making reusable, renewable power grids. Hybrid frameworks that combine the best features of existing energy-saving approaches are becoming popular. The proposed hybrid framework is based on energy-saving mechanisms from existing approaches and is shown to be superior in terms of energy consumption, processor performance, user-friendliness, and memory consumption. The framework can be used in all scenarios and is sustainable for the future, enabling us to maintain an energy-efficient environment. Reducing energy consumption is necessary to reduce global warming. Hybrid energy-saving frameworks can minimize energy emissions, reduce heat, and mitigate the effects of global warming. The proposed hybrid framework is an efficient approach to reduce energy consumption and create a healthier environment.

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A Hybrid Simulation Framework for Promotion of Green Computing and Energy Optimization

  • S. Radhika,
  • Sangram Keshari Swain,
  • S. Adinaarayana,
  • S. Hrushikesava Raju,
  • G. Sriram,
  • N. Venkata Ramana

摘要

The need for green computing has become increasingly important with the growing demand for computing services. Efficient energy management is crucial in reducing energy wastage and creating a healthier environment. One approach to achieve energy savings is through task scheduling, where tasks are allocated to resources in a way that minimizes energy consumption. Other strategies in saving of energy include using scaled hardware components that some low power for their operation, optimizing software, and making reusable, renewable power grids. Hybrid frameworks that combine the best features of existing energy-saving approaches are becoming popular. The proposed hybrid framework is based on energy-saving mechanisms from existing approaches and is shown to be superior in terms of energy consumption, processor performance, user-friendliness, and memory consumption. The framework can be used in all scenarios and is sustainable for the future, enabling us to maintain an energy-efficient environment. Reducing energy consumption is necessary to reduce global warming. Hybrid energy-saving frameworks can minimize energy emissions, reduce heat, and mitigate the effects of global warming. The proposed hybrid framework is an efficient approach to reduce energy consumption and create a healthier environment.