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Deep Learning at the Mobile Edge: Opportunities for 5G Networks
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing, storage, and analysis closer to the end user. The increased speeds and reduced delay enable novel applications such as connected vehicles, large-scale IoT, video ...
Miranda McClellan +2 more
doaj +1 more source
Security challenges of Small Cell as a Service in virtualized mobile edge computing environments [PDF]
Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are ...
Haralambos Mouratidis +6 more
core +1 more source
Testing Challenges and Approaches in Edge Computing
As known from the Internet of Things (IoT) testing there also exist multiple challenges for the Edge Computing (EC) quality assurance and automated testing process.
Hackel, Sascha +2 more
core +1 more source
The emerging computing paradigms like mobile cloud, mobile edge computing, fog computing, AI, and 5G provide the scope to advance mobile learning (m-learning) performances across educational disciplines.
Khalid Mohiuddin +5 more
doaj +1 more source
Edge Computing Assisted Adaptive Mobile Video Streaming [PDF]
Nearly all bitrate adaptive video content delivered today is streamed using protocols that run a purely client based adaptation logic. The resulting lack of coordination may lead to suboptimal user experience and resource utilization.
Yla-Jaaski, A +5 more
core +1 more source
Fog and Edge related computing paradigms promise to deliver exciting services in the Internet of Things (IoT) networks. The devices in such paradigms are highly dynamic and mobile, which presents several challenges to ensure service delivery with the ...
Kc, Ujjwal +11 more
core +1 more source
5G Edge Computing Enhanced Mobile Augmented Reality [PDF]
Physical world enhancements through virtually drawn annotations on mobile devices are a core component of mobile augmented reality (MAR) experiences. However, resource intensive computer vision tasks typically limit the full deployment of MAR pipelines ...
Xiang Su +3 more
core +1 more source
Vehicular Computation Offloading for Industrial Mobile Edge Computing
Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to other intelligent devices (IDs) once the data is sensed and collected ...
Song, Houbing +5 more
core +1 more source
Edge computing technologies for Internet of Things: a primer
With the rapid development of mobile internet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency (SE), and non-adaptive machine type of ...
Yuan Ai, Mugen Peng, Kecheng Zhang
doaj +1 more source
Computation Offloading Strategy in Mobile Edge Computing [PDF]
Mobile phone applications have been rapidly growing and emerging with the Internet of Things (IoT) applications in augmented reality, virtual reality, and ultra-clear video due to the development of mobile Internet services in the last three decades. These applications demand intensive computing to support data analysis, real-time video processing, and
Jinfang Sheng +4 more
openaire +2 more sources

