Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Much research has been conducted on energy management for memory and disks. Most studies use control algorithms that dynamically transition devices to low por modes after they are idle for a certain threshold period of time. The control algorithms used in the past have two major limitations. First, they require painstaking, application-dependent manual tuning of their thresholds to achieve energy savings without significantly degrading performance. Second, they do not provide performance guarantees. In one case, they slod down an application by 835. addresses these two limitations for both memory and disks, making memory/disk energy-saving schemes practical enough to use in real systems. Specifically,  make three contributions: (1)  propose a technique that provides a performance guarantee for control algorithms.  show that our method works ll for all tested cases, even with previously proposed algorithms that are not performance-aware. (2)  propose a new control algorithm,  Performance-directed Dynamic  (PD), that dynamically adjusts its thresholds periodically, based on available slack and recent workload characteristics. For memory, PD consumes the least energy, when compared to previous hand-tuned algorithms combined with a performance guarantee. Hover, for disks, PD is too complex and its self-tuning is unable to beat previous hand-tuned algorithms. (3) To improve on PD,  propose a simple, optimization-based, threshold-free control algorithm,  Performance-directed Static  (PS). PS periodically assigns a static configuration by solving an optimization problem that incorporates information about the available slack and recent traffic variability to different chips/disks.  find that PS is the best or close to the best across all performanceguaranteed disk algorithms, including hand-tuned versions.
['Xiaodong Li', 'Zhenmin Li', 'Francis M. David', 'Pin Zhou', 'Yuanyuan Zhou', 'Sarita V. Adve', 'Sanjeev Kumar']
I am writing a research paper on a idea Performance directed energy management for main memory and disks
[{"from": "human", "value": "I am writing a research paper on a idea Performance directed energy management for main memory and disks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Much research has been conducted on energy management for memory and disks. Most studies use control algorithms that dynamically transition devices to low por modes after they are idle for a certain threshold period of time. The control algorithms used in the past have two major limitations. First, they require painstaking, application-dependent manual tuning of their thresholds to achieve energy savings without significantly degrading performance. Second, they do not provide performance guarantees. In one case, they slod down an application by 835. addresses these two limitations for both memory and disks, making memory/disk energy-saving schemes practical enough to use in real systems. Specifically,  make three contributions: (1)  propose a technique that provides a performance guarantee for control algorithms.  show that our method works ll for all tested cases, even with previously proposed algorithms that are not performance-aware. (2)  propose a new control algorithm,  Performance-directed Dynamic  (PD), that dynamically adjusts its thresholds periodically, based on available slack and recent workload characteristics. For memory, PD consumes the least energy, when compared to previous hand-tuned algorithms combined with a performance guarantee. Hover, for disks, PD is too complex and its self-tuning is unable to beat previous hand-tuned algorithms. (3) To improve on PD,  propose a simple, optimization-based, threshold-free control algorithm,  Performance-directed Static  (PS). PS periodically assigns a static configuration by solving an optimization problem that incorporates information about the available slack and recent traffic variability to different chips/disks.  find that PS is the best or close to the best across all performanceguaranteed disk algorithms, including hand-tuned versions."}]