scholarly journals Energy Efficient Metadata Management for Cloud Storage System

2015 ◽  
Vol 11 (9) ◽  
pp. 626575
Author(s):  
Young Woong Ko ◽  
Sun-Jeong Kim ◽  
Jin Kim ◽  
Eui-Jik Kim ◽  
Jung Min So
Keyword(s):  
Energy Efficient ◽  
Cloud Storage ◽  
Storage System ◽  
Metadata Management

scholarly journals Multi-level Metadata Management Scheme for Cloud Storage System

2014 ◽  
Vol 9 (1) ◽  
pp. 231-240
Author(s):  
Jin San Kong ◽  
Min Ja Kim ◽  
Wan Yeon Lee ◽  
Chuck Yoo ◽  
Young Woong Ko
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Metadata Management ◽  
Management Scheme ◽  
Multi Level

A Metadata Management Mechanism Based on HDFS

2014 ◽  
Vol 577 ◽  
pp. 1026-1029 ◽  
Author(s):  
Xiao Feng Chen ◽  
Yuan Sheng Lou ◽  
Dong Mei Hu
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Original System ◽  
Basic Unit ◽  
Metadata Management ◽  
System Operation ◽  
Management Mechanism ◽  
Consistent Hashing ◽  
Multiple Servers ◽  
Local Cache

A metadata management mechanism on the basis of HDFS was proposed in this paper, which is applied for cloud storage. The basic unit of consistent hashing is DHU in the scheme. Metadata is distributed in multiple servers in this solution, and the position of metadata is recorded in a mapping table. In addition, prefetching strategy and local cache technology are used to improve the performance of the system. Operation logs and Multi-Paxos algorithm are being used to ensure system’s reliability and consistency. Improved system with a lower latency in reading and writing than the original system was seen in the experiments. Good performance for cloud storage system can be shown by this system.

scholarly journals On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model

2021 ◽  
Vol 13 (8) ◽  
pp. 4549
Author(s):  
Sara Salamone ◽  
Basilio Lenzo ◽  
Giovanni Lutzemberger ◽  
Francesco Bucchi ◽  
Luca Sani
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Storage System ◽  
Energy Storage System ◽  
Torque Distribution ◽  
Driving Cycles ◽  
Energy Models ◽  
Battery State Of Charge

In electric vehicles with multiple motors, the torque at each wheel can be controlled independently, offering significant opportunities for enhancing vehicle dynamics behaviour and system efficiency. This paper investigates energy efficient torque distribution strategies for improving the operational efficiency of electric vehicles with multiple motors. The proposed strategies are based on the minimisation of power losses, considering the powertrain efficiency characteristics, and are easily implementable in real-time. A longitudinal dynamics vehicle model is developed in Simulink/Simscape environment, including energy models for the electrical machines, the converter, and the energy storage system. The energy efficient torque distribution strategies are compared with simple distribution schemes under different standardised driving cycles. The effect of the different strategies on the powertrain elements, such as the electric machine and the energy storage system, are analysed. Simulation results show that the optimal torque distribution strategies provide a reduction in energy consumption of up to 5.5% for the case-study vehicle compared to simple distribution strategies, also benefiting the battery state of charge.

scholarly journals ECOS: An energy-efficient cluster storage system

2009 ◽  
Author(s):  
Xiaojun Ruan ◽  
Shu Yin ◽  
Adam Manzanares ◽  
Jiong Xie ◽  
Zhiyang Ding ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Storage System ◽  
Cluster Storage
Sign in / Sign up

Export Citation Format

Share Document