scholarly journals Simplifying administration through dynamic reconfiguration. in a cooperative cluster storage system

2005 ◽  
Author(s):  
R. Lachaize ◽  
J.S. Hansen
Keyword(s):  
Storage System ◽  
Dynamic Reconfiguration ◽  
Cluster Storage

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

A Reliable Scheme for Cluster Storage System

2007 ◽  
Author(s):  
Xu Li ◽  
Changsheng Xie ◽  
Qinqi Wei ◽  
Qiang Cao
Keyword(s):  
Storage System ◽  
Cluster Storage

HPRD: High Performance Tiered Replica Distribution in Cluster Storage System

2013 ◽  
Vol 380-384 ◽  
pp. 2375-2378
Author(s):  
Lei Zhang ◽  
Li Gu Zhu ◽  
Sai Feng Zeng
Keyword(s):  
High Performance ◽  
Storage System ◽  
Data Distribution ◽  
Cluster System ◽  
Full Potential ◽  
Lower Performance ◽  
Use Of Resources ◽  
System Resource ◽  
Cluster Storage ◽  
Clustering Data

The cluster system exists as a variety of different machines. There are Nodes with high performance and nodes with lower performance. The distribution of data on each machine and I / O are determined by the equalization of load balancing. According to the traditional way of clustering data distribution, high performance node performance generally can't fulfill full potential. In this way, the lower performance nodes will become bottleneck. To address this issue we carried out some research and propose a High Performance Tiered Replica Distribution (HPRD) a way of the replica data distribution in the cluster storage system. HPRD can fulfill full high-performance nodes potential in the aspect of the performance benefits and high performance nodes can share more high-performance I/O load. Such performance bottleneck will not exist in the lower performance nodes. It can improve the performance of cluster system and the cluster system resource Utilization rate.It also can reduce inefficient use of resources.

Tiered Adaptive Large-Scale Storage System with High Performance

2013 ◽  
Vol 380-384 ◽  
pp. 2371-2374
Author(s):  
Lei Zhang ◽  
Li Gu Zhu ◽  
Sai Feng Zeng
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Storage Systems ◽  
Storage System ◽  
Data Access ◽  
Traffic Load ◽  
Full Potential ◽  
Storage Devices ◽  
Reliability Characteristics ◽  
Cluster Storage

There are various calculations, transmission, and storage devices in terms of performance or reliability characteristics in great physical differences exist of large-scale cluster storage systems. Meanwhile, the actual traffic load data access for storage devices is also not uniform in space and time and there is a big difference. It is unrealistic and unwise if all the data stored on the high-performance devices. In order to resolve this problem effectively, we propose large-scale adaptive tiered storage system architecture in which structure can carry out effective monitoring access to the load and adapting allocation of storage resources based on the application environment. This can fulfill the full potential to the advantages of high-performance storage nodes to improve the performance of large-scale clustered storage systems.

A Reliable Scheme for Cluster Storage System

2007 ◽  
Author(s):  
Xu Li ◽  
Changsheng Xie ◽  
Qinqi Wei ◽  
Qiang Cao
Keyword(s):  
Storage System ◽  
Cluster Storage

A Color Coded STEM/SEM Image Storage System

1981 ◽  
Vol 39 ◽  
pp. 272-273
Author(s):  
Y. Kokubo ◽  
W. H. Hardy ◽  
J. Dance ◽  
K. Jones
Keyword(s):  
Image Processing ◽  
Electron Beam ◽  
Storage System ◽  
Particle Analysis ◽  
Specific Information ◽  
X Rays ◽  
Sem Image ◽  
Backscattered Electrons ◽  
Wide Range ◽  
Scanning Electron

A color coded digital image processing is accomplished by using JEM100CX TEM SCAN and ORTEC’s LSI-11 computer based multi-channel analyzer (EEDS-II-System III) for image analysis and display. Color coding of the recorded image enables enhanced visualization of the image using mathematical techniques such as compression, gray scale expansion, gamma-processing, filtering, etc., without subjecting the sample to further electron beam irradiation once images have been stored in the memory.The powerful combination between a scanning electron microscope and computer is starting to be widely used 1) - 4) for the purpose of image processing and particle analysis. Especially, in scanning electron microscopy it is possible to get all information resulting from the interactions between the electron beam and specimen materials, by using different detectors for signals such as secondary electron, backscattered electrons, elastic scattered electrons, inelastic scattered electrons, un-scattered electrons, X-rays, etc., each of which contains specific information arising from their physical origin, study of a wide range of effects becomes possible.

Sign in / Sign up

Export Citation Format

Share Document