Difference between revisions of "Template:Article of the week"

From LIMSWiki
Jump to navigationJump to search
(Updated article of the week text)
(Updated article of the week text)
Line 1: Line 1:
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Annane IntJInterMobileTech2019 13-4.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Armstrong FrontMarineSci2019 6.jpg|240px]]</div>
'''"[[Journal:Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges|Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges]]"'''
'''"[[Journal:An integrated data analytics platform|An integrated data analytics platform]]"'''


The principle constraints of mobile devices are their limited resources, including processing capability, storage space, and battery life. However, [[cloud computing]] offers a means of vast computing resources and services. With it a new idea emerged, the inclusion of cloud computing into mobile devices such as smartphones, tablet, and other personal digital assistants (PDA) to augment their capacities, providing a robust technology called mobile cloud computing (MCC). Although MCC has brought many advantages to mobile users, it also still suffers from the security and privacy issues of data while hosted on virtual machines (VM) on remote cloud’s servers. Currently, the eyes of security experts are turned towards the virtualization-based security techniques used either on the cloud or on mobile devices. The new challenge is to develop secure methods in order to authenticate highly sensitive digital content. ('''[[Journal:Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges|Full article...]]''')<br />
A scientific integrated data analytics platform (IDAP) is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools, and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a National Aeronautics and Space Administration (NASA) technology integration project to establish a [[Cloud computing|cloud-based]] integrated ocean science [[Data analysis|data analytics]] platform for managing ocean science research data at NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC). The platform focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, ''in situ''-to-satellite data matching, quality-screened data subsetting, search relevancy, and data discovery. ('''[[Journal:An integrated data analytics platform|Full article...]]''')<br />
<br />
<br />
''Recently featured'':
''Recently featured'':
: ▪ [[Journal:Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges|Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges]]
: ▪ [[Journal:Building open access to research (OAR) data infrastructure at NIST|Building open access to research (OAR) data infrastructure at NIST]]
: ▪ [[Journal:Building open access to research (OAR) data infrastructure at NIST|Building open access to research (OAR) data infrastructure at NIST]]
: ▪ [[Journal:Development of standard operating protocols for the optimization of Cannabis-based formulations for medical purposes|Development of standard operating protocols for the optimization of Cannabis-based formulations for medical purposes]]
: ▪ [[Journal:Development of standard operating protocols for the optimization of Cannabis-based formulations for medical purposes|Development of standard operating protocols for the optimization of Cannabis-based formulations for medical purposes]]
: ▪ [[Journal:Next steps for access to safe, secure DNA synthesis|Next steps for access to safe, secure DNA synthesis]]

Revision as of 16:59, 14 October 2019

Fig1 Armstrong FrontMarineSci2019 6.jpg

"An integrated data analytics platform"

A scientific integrated data analytics platform (IDAP) is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools, and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a National Aeronautics and Space Administration (NASA) technology integration project to establish a cloud-based integrated ocean science data analytics platform for managing ocean science research data at NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC). The platform focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ-to-satellite data matching, quality-screened data subsetting, search relevancy, and data discovery. (Full article...)

Recently featured:

Virtualization-based security techniques on mobile cloud computing: Research gaps and challenges
Building open access to research (OAR) data infrastructure at NIST
Development of standard operating protocols for the optimization of Cannabis-based formulations for medical purposes