scholarly journals Experiences with DERIVA: An Asset Management Platform for Accelerating eScience

Author(s):  
Alejandro Bugacov ◽  
Karl Czajkowski ◽  
Carl Kesselman ◽  
Anoop Kumar ◽  
Robert E. Schuler ◽  
...  
Author(s):  
Maurizio Agelli ◽  
Maria Laura Clemente ◽  
Mauro Del Rio ◽  
Daniela Ghironi ◽  
Orlando Murru ◽  
...  

2017 ◽  
Vol 2017 (7) ◽  
pp. 4400-4412
Author(s):  
George Sarapa ◽  
Michael Lichte ◽  
David Bingham ◽  
Lauren Terpak ◽  
Andrew Burton

2012 ◽  
Vol 542-543 ◽  
pp. 1271-1274
Author(s):  
Yu Bo Song ◽  
Zhao Yuan Jiang

Enterprise asset management system can help to reduce operating costs, improve the management level of enterprise, and the relevant industry expert knowledge contained in this system can provide a unified management platform for all key assets of enterprise. To build an information center of enterprise asset management that is cross-industry and cross-area, cloud computing technology should be introduced to build cloud computing platform of asset management. The construction needs of asset management cloud platform are analyzed, and the cloud computing characteristics of platform construction is studied in this paper. Afterwards, the system architecture and key technologies of constructing the cloud computing platform for enterprise asset management are put forward.


2019 ◽  
Vol 17 (1/2) ◽  
pp. 176-182 ◽  
Author(s):  
David Murakami Wood ◽  
Debra Mackinnon

Smart city technologies are proliferating in our urban environments. The latest iteration of the urban techno-fix, cities on a global level have begun piloting and plugging into a range of “smart” infrastructure and IoT, resulting in granular and even enactments of “the actually existing smart city.” Rather than evoking the once promised vision of the totalizing smart city, the adoption of these technologies draws attention to the fractured, varied, and layered characteristics of these systems. This paper draws on research into GeoPal, an asset management platform used mainly by business improvement areas (BIAs)—in order to ground our theoretical discussion of oligoptic geospatial surveillance.


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