Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Improving the performance is the common sense on those large-scale data processing frameworks and fruitful studies are proposed in this direction. In contrast, the fairness and energy consumption of those frameworks need further exploration and how the performance, fairness and energy consumption interact each other on big data computing frameworks is not ll addressed. In our research,  study the fairness and the energy consumption of those big data computing systems.  find that there are tradeoff beten these factors.  conduct detailed studies on the factors which impact the tradeoff beten different factors. Based on the observations in our study,  propose workloadaware, energy-efficient and green-aware optimizations and implement them into Hadoop YARN. Particularly, in this thesis proposal,  propose to explore the following research problems. First,  explore the tradeoff beten fairness and performance, and improve the performance of the state-of the-art approach by up to 225% [7]. Second,  consider the energy efficiency, renewable energy supply as ll as battery usage and reduce the brown energy consumption of existing systems by more than 25% [8]. Third,  will explore the relationship beten fairness and energy consumption, and eventually  will develop multi-objective optimizations for performance, fairness and energy consumption.
['Zhaojie Niu', 'Bingsheng He']
I am writing a research paper on a idea A Study of Big Data Computing Platforms: Fairness and Energy Consumption
[{"from": "human", "value": "I am writing a research paper on a idea A Study of Big Data Computing Platforms: Fairness and Energy Consumption"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Improving the performance is the common sense on those large-scale data processing frameworks and fruitful studies are proposed in this direction. In contrast, the fairness and energy consumption of those frameworks need further exploration and how the performance, fairness and energy consumption interact each other on big data computing frameworks is not ll addressed. In our research,  study the fairness and the energy consumption of those big data computing systems.  find that there are tradeoff beten these factors.  conduct detailed studies on the factors which impact the tradeoff beten different factors. Based on the observations in our study,  propose workloadaware, energy-efficient and green-aware optimizations and implement them into Hadoop YARN. Particularly, in this thesis proposal,  propose to explore the following research problems. First,  explore the tradeoff beten fairness and performance, and improve the performance of the state-of the-art approach by up to 225% [7]. Second,  consider the energy efficiency, renewable energy supply as ll as battery usage and reduce the brown energy consumption of existing systems by more than 25% [8]. Third,  will explore the relationship beten fairness and energy consumption, and eventually  will develop multi-objective optimizations for performance, fairness and energy consumption."}]