Google App Engine statistics
Google App Engine specifications
Information
Unique identifier | OMICS_01211 |
---|---|
Name | Google App Engine |
Software type | Framework/Library |
Interface | Command line interface |
Restrictions to use | None |
Operating system | Unix/Linux |
Parallelization | MapReduce |
Computer skills | Advanced |
Stability | Stable |
High performance computing | Yes |
Maintained | Yes |
Wikipedia | https://en.wikipedia.org/wiki/Google_App_Engine |
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Google App Engine in publications
(20)What makes a rhythm complex? The influence of musical training and accent type on beat perception
[…] this rate was used (140, 145, 150, 155 and 160 ms), corresponding to tempi of 107, 103, 100, 97 and 94 beats per minute., a web-based application to rate auditory stimuli was created using the google app engine (google inc.). to foster future research, we have released this application as open-source software at https://github.com/dodijk/annotate. for viewing purposes, the application […]
[…] to send data daily to guard against data loss. similarly, when an internet connection was available, data collected with odk were transferred to a server running the odk aggregate software, using a google app engine (appspot). for the few mobilisers unable to access adequate network coverage, data were transferred to a laptop computer using a usb connection by team members visiting the cluster […]
Ontology Based Architecture for Intelligent Transportation Systems Using a Traffic Sensor Network
[…] remote calls. for such, it is possible to use google weather services, openweathermap, or any other proprietary service. the data collection is performed using a data pipeline that relies on the google app engine, and the google cloud endpoints to describe and host our api (application programming interface) endpoint []. the apis are provided to the client-developers (android for instance) […]
[…] glassware solution to monitor and control microfluidic and organs-on-a-chip systems, aided by a set of custom-developed hardware and software., the google glass communicates with the sensors via the google app engine (). data is stored in the google cloud, and the glass periodically checks for new sensor data, such as the latest video of cardiomyocyte beating. a custom-built printed circuit […]
[…] api performance is response speed for larger datasets. some geometric calculations (like distance to range map) are computationally expensive and can be slow. besides, the api is built on top of a google app engine (gae) application, and instance initialization can delay the execution of the functions. still, benchmark tests show an average of ∼86 seconds to process a post request of 1000 […]
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