A Distributed ML Framework for Service Deployment in the 5G-based Automotive Vertical

Author(s):  
Vasilis Sourlas ◽  
Amr Rizk ◽  
Konstantinos V. Katsaros ◽  
Panagiotis Pantazopoulos ◽  
Georgios Drainakis ◽  
...  
Keyword(s):  
Author(s):  
Ambigavathi Munusamy ◽  
Mainak Adhikari ◽  
Venki Balasubramanian ◽  
Mohammad Ayoub Khan ◽  
Varun G Menon ◽  
...  

2021 ◽  
pp. 1-1
Author(s):  
Arash Bozorgchenani ◽  
Daniele Tarchi ◽  
Walter Cerroni

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 112659-112673
Author(s):  
Yan Chen ◽  
Yanjing Sun ◽  
Tianxin Feng ◽  
Song Li

Author(s):  
Yang Yin ◽  
Zhenjun Liu ◽  
Haiying Tang ◽  
Shuo Feng ◽  
Yajun Jia ◽  
...  
Keyword(s):  

2005 ◽  
Vol 21 (6) ◽  
pp. 910-919 ◽  
Author(s):  
Ozgur Balsoy ◽  
Ying Jin ◽  
Galip Aydin ◽  
Marlon Pierce ◽  
Geoffrey Fox

2021 ◽  
Vol 22 (3) ◽  
pp. 313-320
Author(s):  
Dana Petcu

This position paper aims to identify the current and future challenges in application, workload or service deployment mechanisms in Cloud-to-Edge environments. We argue that the adoption of the microservices and unikernels on large scale is adding new entries on the list of requirements of a deployment mechanism, but offers an opportunity to decentralize the associated processes and improve the scalability of the applications. Moreover, the deployment in Cloud-to-Edge environment needs the support of federated machine learning.


2007 ◽  
Author(s):  
Christos Chrysoulas ◽  
Giannis Koumoutsos ◽  
Spyros Denazis ◽  
Kleanthis Thramboulidis ◽  
Odysseas Koufopavlou
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document