Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Por consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements.  investigates the memory energy efficiency of high-end data servers used for supercomputers. Emerging memory technologies allow memory devices to dynamically adjust their por states and enable free rides by overlapping multiple DMA transfers from different I/O buses to the same memory device. To achieve maximum energy saving, the memory management on data servers needs to judiciously utilize these energy-aware devices. As  explore different management schemes under five real-world parallel I/O workloads,  find that the memory energy behavior is determined by a complex interaction among four important factors: (1) cache hit rates that may directly translate performance gain into energy saving, (2) cache populating schemes that perform buffer allocation and affect access locality at the chip level, (3) request clustering that aims to temporally align memory transfers from different buses into the same memory chips, and (4) access patterns in workloads that affect the first three factors.
['Jianhui Yue', 'Yifeng Zhu', 'Zhao Cai']
I am writing a research paper on a idea An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads
[{"from": "human", "value": "I am writing a research paper on a idea An Energy-Oriented Evaluation of Buffer Cache Algorithms Using Parallel I/O Workloads"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Por consumption is an important issue for cluster supercomputers as it directly affects running cost and cooling requirements.  investigates the memory energy efficiency of high-end data servers used for supercomputers. Emerging memory technologies allow memory devices to dynamically adjust their por states and enable free rides by overlapping multiple DMA transfers from different I/O buses to the same memory device. To achieve maximum energy saving, the memory management on data servers needs to judiciously utilize these energy-aware devices. As  explore different management schemes under five real-world parallel I/O workloads,  find that the memory energy behavior is determined by a complex interaction among four important factors: (1) cache hit rates that may directly translate performance gain into energy saving, (2) cache populating schemes that perform buffer allocation and affect access locality at the chip level, (3) request clustering that aims to temporally align memory transfers from different buses into the same memory chips, and (4) access patterns in workloads that affect the first three factors."}]