mVideo: Edge Computing Based Mobile Video Processing Systems
نویسندگان
چکیده
منابع مشابه
1 Mobile Edge Computing
The ongoing development of the fifth-generation (5G) wireless technologies takes place in a unique landscape of recent advancement in information processing, marked by the emerging prevalence of cloud-based computing and smart mobile devices. These two technologies complement each other by design, with cloud servers providing the engine for computing and smart mobile devices naturally serving a...
متن کاملOptimal Pricing-Based Edge Computing Resource Management in Mobile Blockchain
As the core issue of blockchain, the mining requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to high computing power needed. Thus, the development of blockchain in mobile applications is restricted. In this paper, we consider the edge computing as the network enabler for mobile blockchain. In particular, we study optimal pricing-based edge ...
متن کاملAn Enhanced MSS-based checkpointing Scheme for Mobile Computing Environment
Mobile computing systems are made up of different components among which Mobile Support Stations (MSSs) play a key role. This paper proposes an efficient MSS-based non-blocking coordinated checkpointing scheme for mobile computing environment. In the scheme suggested nearly all aspects of checkpointing and their related overheads are forwarded to the MSSs and as a result the workload of Mobile ...
متن کاملSubword extensions for video processing on mobile systems
PROVIDING VIDEO-OVER-WIRELESS capability to mobile-computing platforms results in several interesting challenges. Wireless networks provide less transmission bandwidth than hard-wired networks. Because today’s wireless local-areanetwork technology can provide only around 2-Mbps transmission rates, video compression is essential for transmitting to mobile devices. Due to increased user sensitivi...
متن کاملDeep Learning for Secure Mobile Edge Computing
Mobile edge computing (MEC) is a promising approach for enabling cloud-computing capabilities at the edge of cellular networks. Nonetheless, security is becoming an increasingly important issue in MEC-based applications. In this paper, we propose a deep-learning-based model to detect security threats. The model uses unsupervised learning to automate the detection process, and uses location info...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2019.2963159