A large scale network storage facility

1985 ◽  
Vol 15 (9) ◽  
pp. 889-899 ◽  
Author(s):  
R. J. Dakin ◽  
B. R. Lederer ◽  
K. R. Parker
Keyword(s):  
Large Scale ◽  
Network Storage ◽  
Storage Facility ◽  
Large Scale Network ◽  
Scale Network

Rack-Aware Architecture for Reliable Cloud Systems

2012 ◽  
Vol 433-440 ◽  
pp. 5861-5865
Author(s):  
Zhen Huang ◽  
Yuan Yuan ◽  
Yu Xing Peng
Keyword(s):  
System Design ◽  
Cloud Storage ◽  
Large Scale ◽  
Fault Tolerant ◽  
Storage Systems ◽  
Network Storage ◽  
Cloud Systems ◽  
Large Scale Network ◽  
Scale Network ◽  
The Common

The ever-growing demand on information and data requires the efficient architecture for large-scale network storage systems. To serve very large scale applications, using inexpensive commodity becomes the common selection in nowadays cloud storage systems. Based on such unreliable hardware, building fault-tolerant mechanism is key issue to the system design. In this paper, we propose a rack-aware architecture for cloud storage systems.

Large-Scale Network Analysis for Online Social Brand Advertising

MIS Quarterly ◽  
2016 ◽  
Vol 40 (4) ◽  
pp. 849-868 ◽  
Author(s):  
Kunpeng Zhang ◽  
◽  
Siddhartha Bhattacharyya ◽  
Sudha Ram ◽  
◽  
...  
Keyword(s):  
Network Analysis ◽  
Large Scale ◽  
Large Scale Network ◽  
Brand Advertising ◽  
Scale Network

Attention Biases Visual Activity in Visual Short-term Memory

2014 ◽  
Vol 26 (7) ◽  
pp. 1377-1389 ◽  
Author(s):  
Bo-Cheng Kuo ◽  
Mark G. Stokes ◽  
Alexandra M. Murray ◽  
Anna Christina Nobre
Keyword(s):  
Large Scale ◽  
Short Term Memory ◽  
Control Mechanisms ◽  
Top Down ◽  
Short Term ◽  
Visual Activity ◽  
Visual Short Term Memory ◽  
Large Scale Network ◽  
Visual Areas ◽  
Scale Network

In the current study, we tested whether representations in visual STM (VSTM) can be biased via top–down attentional modulation of visual activity in retinotopically specific locations. We manipulated attention using retrospective cues presented during the retention interval of a VSTM task. Retrospective cues triggered activity in a large-scale network implicated in attentional control and led to retinotopically specific modulation of activity in early visual areas V1–V4. Importantly, shifts of attention during VSTM maintenance were associated with changes in functional connectivity between pFC and retinotopic regions within V4. Our findings provide new insights into top–down control mechanisms that modulate VSTM representations for flexible and goal-directed maintenance of the most relevant memoranda.

Sign in / Sign up

Export Citation Format

Share Document