@techreport{oai:ipsj.ixsq.nii.ac.jp:00075461,
 author = {HieuHanhLe and Satoshi, Hikida and Haruo, Yokota and Hieu, HanhLe and Satoshi, Hikida and Haruo, Yokota},
 issue = {6},
 month = {Jul},
 note = {In distributed storage system, replicating data on multiple nodes for improving performance also extends power consumption of whole system. As the result, it becomes more important to control both power consumption and performance in storage system. Recently, a number of proposals that allows the system to be available to control power consumption have been proposed and confirmed to be success in certain circumstance and applications. In these proposals, system is made available to operate in multiple modes with containing different number of active datanodes that store data. Consequently, at each mode, the system obtains performance which is proportional with the number of active datanodes it contains. However, this approach faces a problem of performance degradation when the system needs to correct its data layout while moving up to high mode from power-saving modes if the dataset is updated during power-saving mode. In this paper, the function of data layout correction is added into two existing data placement methods in distributed storage system and the degradation in performance of these methods is then evaluated through empirical experiments., In distributed storage system, replicating data on multiple nodes for improving performance also extends power consumption of whole system. As the result, it becomes more important to control both power consumption and performance in storage system. Recently, a number of proposals that allows the system to be available to control power consumption have been proposed and confirmed to be success in certain circumstance and applications. In these proposals, system is made available to operate in multiple modes with containing different number of active datanodes that store data. Consequently, at each mode, the system obtains performance which is proportional with the number of active datanodes it contains. However, this approach faces a problem of performance degradation when the system needs to correct its data layout while moving up to high mode from power-saving modes if the dataset is updated during power-saving mode. In this paper, the function of data layout correction is added into two existing data placement methods in distributed storage system and the degradation in performance of these methods is then evaluated through empirical experiments.},
 title = {An Evaluation on Power Consumption and Performance Balancing Distributed Storage Systems},
 year = {2011}
}