Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Qingmin JIA"'
Publikováno v:
IEEE Access, Vol 12, Pp 141639-141652 (2024)
Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, enabling the intelligence learned from remote cloud to network edge. To achieve automatic decision-making, the t
Externí odkaz:
https://doaj.org/article/4a538caa2c7b4ba5a57ed5f5d1be5130
Publikováno v:
IEEE Access, Vol 12, Pp 97184-97195 (2024)
Satellite networks can enhance global network coverage without geographical restrictions. By applying edge computing paradigm to satellite networks, they can provide communication and computation services for Internet of Remote Things (IoRT) mobile d
Externí odkaz:
https://doaj.org/article/777bba8432a54ae384fa376da32bdc7a
Publikováno v:
IEEE Access, Vol 12, Pp 90940-90951 (2024)
Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, which enables the intelligence learned from remote cloud to network edge. To realize automatic decision-making,
Externí odkaz:
https://doaj.org/article/31a3bc6490df4102940bded0e8d5d162
Publikováno v:
IEEE Access, Vol 12, Pp 36657-36669 (2024)
Scalable Video Coding (SVC) and edge caching are two techniques that hold the potential to improve user-perceived video viewing experience. Moreover, video recommendation can further enhance the caching gain by reshaping users’ video preferences. I
Externí odkaz:
https://doaj.org/article/1cb7c2d991a643ef98e5456e4fdc9e97
Publikováno v:
物联网学报, Vol 7, Pp 1-12 (2023)
In view of the new service scenarios and the demand for high intelligence network in computing and network convergence (CNC), the concept of autonomous CNC (Auto-CNC) is elaborated, where intelligence was introduced into all the aspects of CNC, inclu
Externí odkaz:
https://doaj.org/article/4eaba8c4ac704c95ab1614ac7575c897
Publikováno v:
Tongxin xuebao, Vol 44, Pp 79-93 (2023)
To overcome the three key challenges of federated learning in heterogeneous edge computing, i.e., edge heterogeneity, data Non-IID, and communication resource constraints, a grouping asynchronous federated learning (FedGA) mechanism was proposed.Edge
Externí odkaz:
https://doaj.org/article/3377277cb14c48f7adedcf96f2d4e58e
Publikováno v:
Tongxin xuebao, Vol 43, Pp 55-64 (2022)
In order to meet the development requirements of time-sensitive and computing-intensive businesses, the guarantee problem of real-time transmission and real-time computing of computing tasks was studied.Firstly, the research progress of computing pow
Externí odkaz:
https://doaj.org/article/5fa7202998f1491ba719e9c56807ed78
Publikováno v:
网络与信息安全学报, Vol 7, Pp 1-12 (2021)
With the development of 5G and mobile Internet technology, cloud computing, edge computing and intelligent terminal devices have been developed rapidly.Computing resources indicate a trend of ubiquitous deployment.How to use ubiquitous computing reso
Externí odkaz:
https://doaj.org/article/5df58186d72340c3975ef1fa49bf7fe2
Publikováno v:
Tongxin xuebao, Vol 39, Pp 138-155 (2018)
Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficienc
Externí odkaz:
https://doaj.org/article/bf27a5caff5548499d72ea6cdcac1bb3
Publikováno v:
Dianxin kexue, Vol 34, Pp 76-86 (2018)
To deal with the huge challenges in futuremobile networks,the industry has proposed adaptive bit rate(ABR)technology andmobile edge computing(MEC),aiming to provide users with diverse services of high quality of experience,low latency and high bandwi
Externí odkaz:
https://doaj.org/article/bc6a608514044baf8920d5cda544fdba