RISC: A resilient interconnection network for scalable cluster storage systems

2008 ◽  
Vol 54 (1-2) ◽  
pp. 70-80 ◽  
Author(s):  
Yuhui Deng
2013 ◽  
Vol 380-384 ◽  
pp. 2371-2374
Author(s):  
Lei Zhang ◽  
Li Gu Zhu ◽  
Sai Feng Zeng

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.


Author(s):  
T. A. Dodson ◽  
E. Völkl ◽  
L. F. Allard ◽  
T. A. Nolan

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.


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