scholarly journals Exploiting Spatio-Temporal Diversity for Water Saving in Geo-Distributed Data Centers

2018 ◽  
Vol 6 (3) ◽  
pp. 734-746 ◽  
Author(s):  
Mohammad A. Islam ◽  
Kishwar Ahmed ◽  
Hong Xu ◽  
Nguyen H. Tran ◽  
Gang Quan ◽  
...  
2020 ◽  
Author(s):  
Peter Baumann

<p>Datacubes form an accepted cornerstone for analysis (and visualization) ready spatio-temporal data offerings. Beyond the multi-dimensional data structure, the paradigm also suggests rich services, abstracting away from the untractable zillions of files and products - actionable datacubes as established by Array Databases enable users to ask "any query, any time" without programming. The principle of location-transparent federations establishes a single, coherent information space.</p><p>The EarthServer federation is a large, growing data center network offering Petabytes of a critical variety, such as radar and optical satellite data, atmospheric data, elevation data, and thematic cubes like global sea ice. Around CODE-DE and DIASs an ecosystem of data has been established that is available to users as a single pool, in particular for efficient distributed data fusion irrespective of data location.</p><p>In our talk we present technology, services, and governance of this unique intercontinental line-up of data centers. A live demo will show dist<br>ributed datacube fusion.</p><p> </p>


2015 ◽  
Vol 19 (6) ◽  
pp. 1153-1161 ◽  
Author(s):  
Alejandra González-Moreno ◽  
Santiago Bordera ◽  
Hugo Delfín-González

2021 ◽  
Author(s):  
Linfeng Shen ◽  
Fangxin Wang ◽  
Feng Wang ◽  
Jiangchuan Liu

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