The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:Discusses the challenges imposed by big data on scientifi
Cloud computing has revolutionized the way businesses process, store and manage data. With the explo...
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable com...
The rise of Cloud Computing and Big Data has played influential roles in the evolution of IT service...
computer bookfair2016Includes bibliographical references and index.xx, 300 pages :"The amount of dat...
This book presents a range of cloud computing platforms for data-intensive scientific applications. ...
International audienceCloud computing has evolved as a popular computing infrastructure for many app...
The emergence of powerful, always-on cloud utilities has transformed how consumers interact with inf...
The amount of data being generated for e-Science domains has grown exponentially in the past decade,...
This paper describes the e-Science Central (e-SC) cloud data processing system and its application t...
The core tools of science (data, software, and computers) are undergoing a rapid and historic evolut...
The current model of transferring data from data centres to desktops for analysis will soon be rende...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
It is often discussed that the fourth methodology for science research is "informatics". The first m...
Big Data is a data analysis methodology enabled by recent advances in technologies and architecture....
Data-intensive scientific applications are posing many challenges in distributed computing systems. ...
Cloud computing has revolutionized the way businesses process, store and manage data. With the explo...
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable com...
The rise of Cloud Computing and Big Data has played influential roles in the evolution of IT service...
computer bookfair2016Includes bibliographical references and index.xx, 300 pages :"The amount of dat...
This book presents a range of cloud computing platforms for data-intensive scientific applications. ...
International audienceCloud computing has evolved as a popular computing infrastructure for many app...
The emergence of powerful, always-on cloud utilities has transformed how consumers interact with inf...
The amount of data being generated for e-Science domains has grown exponentially in the past decade,...
This paper describes the e-Science Central (e-SC) cloud data processing system and its application t...
The core tools of science (data, software, and computers) are undergoing a rapid and historic evolut...
The current model of transferring data from data centres to desktops for analysis will soon be rende...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
It is often discussed that the fourth methodology for science research is "informatics". The first m...
Big Data is a data analysis methodology enabled by recent advances in technologies and architecture....
Data-intensive scientific applications are posing many challenges in distributed computing systems. ...
Cloud computing has revolutionized the way businesses process, store and manage data. With the explo...
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable com...
The rise of Cloud Computing and Big Data has played influential roles in the evolution of IT service...