Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many real-world applications like Video-On-Demand (VOD) and b servers require prompt responses to access requests. Hover, with an explosive increase of data volume and the emerging of faster disks with higher por requirements, energy consumption of disk based storage systems has become a salient issue. To achieve energy-conservation and prompt responses simultaneously, in this paper  propose a novel energy-saving data placement strategy, called Striping-based Energy-Aware (SEA), which can be applied to RAID-structured storage systems to noticeably save energy while providing quick responses. Further,  implement two SEA-pored RAID-based data placement algorithms, SEA0 and SEA5, by incorporating the SEA strategy into RAID-0 and RAID-5, respectively. Extensive experimental results demonstrate that compared with three ll-known data placement algorithms Greedy, SP, and HP, SEA0 and SEA5 reduce mean response time on average at least 52.15% and 48.04% while saving energy on average no less than 10.12% and 9.35%, respectively.
['Tao Xie', 'Yao Sun']
I am writing a research paper on a idea No more energy-performance trade-off: a new data placement strategy for raid-structured storage systems
[{"from": "human", "value": "I am writing a research paper on a idea No more energy-performance trade-off: a new data placement strategy for raid-structured storage systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many real-world applications like Video-On-Demand (VOD) and b servers require prompt responses to access requests. Hover, with an explosive increase of data volume and the emerging of faster disks with higher por requirements, energy consumption of disk based storage systems has become a salient issue. To achieve energy-conservation and prompt responses simultaneously, in this paper  propose a novel energy-saving data placement strategy, called Striping-based Energy-Aware (SEA), which can be applied to RAID-structured storage systems to noticeably save energy while providing quick responses. Further,  implement two SEA-pored RAID-based data placement algorithms, SEA0 and SEA5, by incorporating the SEA strategy into RAID-0 and RAID-5, respectively. Extensive experimental results demonstrate that compared with three ll-known data placement algorithms Greedy, SP, and HP, SEA0 and SEA5 reduce mean response time on average at least 52.15% and 48.04% while saving energy on average no less than 10.12% and 9.35%, respectively."}]