Name
Abstract | ||
|---|---|---|
The proliferation of emerging applications such as augmented reality, face recognition, and autonomous driving have stimulated the growth of demand for low-latency services, while the traditional cloud computing paradigm inevitably increases end-to-end latency. Multi-access edge computing deploys computing and storage resources to user terminals, which is expected to become an effective solution. ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00057 | 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
Keywords | DocType | ISSN |
multi-access edge computing,task offloading,pareto optimal relationship,dependency | Conference | 2158-9178 |
ISBN | Citations | PageRank |
978-1-6654-3574-1 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuyue Ma | 1 | 0 | 2.37 |
| Shudian Song | 2 | 0 | 0.68 |
| Lingyu Yang | 3 | 0 | 0.34 |
| Jingmei Zhao | 4 | 0 | 0.34 |
| Feng Yang | 5 | 26 | 15.37 |
| Linbo Zhai | 6 | 15 | 7.01 |