Bioinformatics Clouds for High-Throughput Technologies

2014 ◽  
pp. 489-507 ◽  
Author(s):  
Claudia Cava ◽  
Francesca Gallivanone ◽  
Christian Salvatore ◽  
Pasquale Anthony Della Rosa ◽  
Isabella Castiglioni
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
High Throughput ◽  
High Performance ◽  
Cellular Level ◽  
High Dimensionality ◽  
Computational Approaches ◽  
New Information ◽  
Wide Scale ◽  
Performance Computing

Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.

Bioinformatics Clouds for High-Throughput Technologies

2015 ◽  
pp. 1294-1311
Author(s):  
Claudia Cava ◽  
Francesca Gallivanone ◽  
Christian Salvatore ◽  
Pasquale Anthony Della Rosa ◽  
Isabella Castiglioni
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
High Throughput ◽  
High Performance ◽  
Cellular Level ◽  
High Dimensionality ◽  
Computational Approaches ◽  
New Information ◽  
Wide Scale ◽  
Performance Computing

Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.

High Performance Computing, Big Data, and Cloud Computing

2019 ◽  
pp. 165-182
Author(s):  
Jose-Luis González-Sánchez ◽  
Jesús Calle-Cancho ◽  
David Cortés-Polo ◽  
Luis-Ignacio Jiménez-Gil ◽  
Alfonso López-Rourich
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
High Performance Computing ◽  
High Performance ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Digital Revolution ◽  
Technological Revolution ◽  
Fourth Industrial Revolution ◽  
Performance Computing

If the fourth industrial revolution should be the revolution of values, where people, more than ever, are at the center of everything, it may be the technology that gives us the ability to place ourselves in that privileged position. However, there is consensus that the fourth industrial revolution is not defined by a set of emerging technologies in themselves, but by the transition to new systems that are built on the infrastructure of the digital revolution that we have already lived. The speed of the advances experienced in the last decade, along with the scope and impact of these in society, have allowed us to understand that we have reached a new technological revolution. The convergence, that is the real revolution, not only of digital technologies but also physical and biological will allow humanity to face the great challenges that have been marked for decades or centuries.

High-Performance Computing for Big Data Processing

2018 ◽  
Vol 88 ◽  
pp. 693-695 ◽  
Author(s):  
Yulei Wu ◽  
Yang Xiang ◽  
Jingguo Ge ◽  
Peter Muller
Keyword(s):  
Big Data ◽  
Data Processing ◽  
High Performance Computing ◽  
High Performance ◽  
Big Data Processing ◽  
Performance Computing

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Big Data and IT Network Data Visualization

2018 ◽  
Vol 3 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Lidong Wang
Keyword(s):  
Big Data ◽  
Network Analysis ◽  
Graphics Processing Units ◽  
Data Analytics ◽  
High Performance ◽  
Big Data Analytics ◽  
Network Visualization ◽  
Network Data ◽  
Graphics Processing ◽  
Performance Computing

Visualization with graphs is popular in the data analysis of Information Technology (IT) networks or computer networks. An IT network is often modelled as a graph with hosts being nodes and traffic being flows on many edges. General visualization methods are introduced in this paper. Applications and technology progress of visualization in IT network analysis and big data in IT network visualization are presented. The challenges of visualization and Big Data analytics in IT network visualization are also discussed. Big Data analytics with High Performance Computing (HPC) techniques, especially Graphics Processing Units (GPUs) helps accelerate IT network analysis and visualization.

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