scholarly journals Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing

2011 ◽  
Vol 22 (8) ◽  
pp. 1365-1373 ◽  
Author(s):  
Jinoh Kim ◽  
Abhishek Chandra ◽  
Jon B. Weissman
Keyword(s):  
Large Scale ◽  
Network Performance ◽  
Performance Estimation ◽  
Data Intensive Computing ◽  
Data Intensive ◽  
Large Scale Data ◽  
Passive Network ◽  
Scale Data

scholarly journals Enabling Large-Scale Biomedical Analysis in the Cloud

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Ying-Chih Lin ◽  
Chin-Sheng Yu ◽  
Yen-Jen Lin
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Computing System ◽  
Biomedical Data ◽  
Data Intensive Computing ◽  
Biomedical Analysis ◽  
Data Intensive ◽  
Large Scale Data ◽  
Performance Computing ◽  
Scale Data

Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.

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