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pro vyhledávání: '"INCHANG JEONG"'
Publikováno v:
ACM Transactions on the Web. 14:1-24
Mobile web platforms are facing new demands for emerging applications, such as machine learning or augmented reality, which require significant computing powers beyond that of current mobile hardware. Computation offloading can accelerate these apps
Publikováno v:
Journal of KIISE. 44:871-877
Publikováno v:
Software: Practice and Experience. 48:621-640
Summary Web applications (apps) are programs created by web technologies such as HTML, CSS, and JavaScript. Web apps can be executed on any platform that supports a web browser. Such portability allows an interesting user experience called app migrat
Publikováno v:
ICDCS
Machine leaning apps require heavy computations, especially with the use of the deep neural network (DNN), so an embedded device with limited hardware cannot run the apps by itself. One solution for this problem is to offload DNN computations from th
Publikováno v:
EMSOFT Companion
We propose a new approach to running machine learning (ML) web app on resource-constrained embedded devices by offloading ML computations to servers. We can dynamically offload computations depending on the problem size and network status. The execut
Publikováno v:
ACM Transactions on the Web; Sep2020, Vol. 14 Issue 4, p1-24, 24p
Publikováno v:
ESTImedia
Web applications (apps) are programs created by web technologies such as HTML, CSS, and JavaScript. Web apps can be executed on any platform that supports a web browser. Such portability allows an interesting user experience called app migration [2,