Embed Size (px)
Citation preview
Analysis of Remote Sensing Analysis of Remote Sensing Quantitative InversionQuantitative Inversion in Cloud Computing in Cloud Computing
Jing Dong, Yong Xue, Ziqiang Chen, Hui Xu, Yingjie Li
Institute of Remote Sensing ApplicationsChinese Academy of Sciences July 29, 2011
• Aerosol Optical Depth(AOD) RetrievalAerosol Optical Depth(AOD) Retrieval
• High Performance ComputingHigh Performance ComputingInstitute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
OutlineOutline
An Introduction of Cloud Computing
Remote Sensing Quantitative Inversion &
Cloud Computing
A Possible Cloud In Remote Sensing
Quantitative Inversion
Discussion and Future Work
11Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
IntroductionIntroduction
What is Cloud Computing
What can Cloud Computing do
How does Cloud Computing work
22Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
IntroductionIntroduction
33
• SaaS
• IaaS
• PaaS
• DaaS
Software as a Service
Infrastructure as a Service
Platform as a Service
Data as a Service
Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
A large-scale distributed computing paradigm that is driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable, managed computing power, storage, platforms, and services are delivered on demand to external customers over the Internet. ——Foster et al.(2008)
Introduction-Introduction-cloudcloud productsproducts Amazon Elastic Compute Cloud (Amazon EC2)
of Amazon 、 Windows Azure of Microsoft 、 Google App Engine of Google 、 Blue Cloud of IBM
44Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
Remote Sensing Quantitative Inversion Remote Sensing Quantitative Inversion & & Cloud ComputingCloud Computing
Charge
eg. Amazon EC2 Technical Support
eg. Google App Engine Security
computing infrastructure maintained and controlled by third parties
55Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
An example-An example-ChargeCharge
Application—remote sensing quantitative inversion Data Resource ： MODIS for one year
Range : over China total volume: 2.97TB (2008)per day: 8.4GB
66Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
Charge Standard of Amazon Charge Standard of Amazon in US dollars-data transferin US dollars-data transfer
77Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
nearly 304.13 US dollars
An example-An example-ChargeCharge Data Resource ： MODIS for one year
Range : over China total volume: 2.97TBper day: 8.4GB
processing time of geometric correction(GC)
88Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
Charge Standard of Amazon Charge Standard of Amazon in US dollarsin US dollars
99
The price of on-demand instances
Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
at least 832.2 US dollars
An example-An example-CostCost
Data transfer in— nearly 304.13 US dollars for the whole year of 2008
Instance rent for GC— at least 832.2 US dollars for one year data
The cost is so highThe cost is so high
1010Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
An example -An example -Technical SupportTechnical Support
Google App Engine • Java
• python
most of the quantitative remote sensing inversion algorithms • IDL
• C++
1111Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
SecuritySecurity
Data Security
Network connection
Emergency• breakdown in 2008 and 2011
• service closed
1212Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
A Possible CloudA Possible Cloud
1313
Advantage: avoid high cost for data transfer
Disadvantage: not suitable for multi-source data comprehensive applications
Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS
Discussions and Future WorkDiscussions and Future Work
Cloud computing would not necessarily suitable for all scientific applications, especially for geoscience
Standardized metadata management mechanism, more efficient data storage and sharing method, and more reliable security mechanism are needed
Institute of Remote Sensing Institute of Remote Sensing Application, CASApplication, CAS 1414
![[REMOTE SENSING] 3-PM Remote Sensing](https://img.pdfslide.us/doc/110x75/61f2bbb282fa78206228d9e2/remote-sensing-3-pm-remote-sensing.jpg)
