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.

A Proposal of SDN Based Disaster-Aware Smart Routing for Highly-Available Information Storage Systems and Its Evaluation

2017 ◽  
Vol 9 (1) ◽  
pp. 69-83 ◽  
Author(s):  
Satoru Izumi ◽  
Misumi Hata ◽  
Hiroyuki Takahira ◽  
Mustafa Soylu ◽  
Asato Edo ◽  
...  
Keyword(s):  
Data Transmission ◽  
Large Scale ◽  
Network Performance ◽  
Storage Systems ◽  
Real Space ◽  
Information Storage ◽  
Large Scale Network ◽  
Disaster Situation ◽  
Scale Network ◽  
Available Information

In this paper, the authors propose a SDN based disaster-aware smart routing scheme for highly-available information storage systems. The authors' proposed scheme is based on the concept of Symbiotic Computing to recognize disaster status in Real Space, and provides appropriate routes form Digital Space dynamically. This realizes effective data transmission considering disaster situation and its time variation. In this paper, the authors design and implement their proposed scheme with dynamic multipath routing and parallel data transmission to enhance the network performance. They also evaluate its effectiveness through large-scale network environments.

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

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.

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