Name
Abstract | ||
|---|---|---|
As mobile multimedia services have significantly evolved and diversified with the spread of smartphones and Internet of Things (IoT) devices, low-delay multimedia cloud computing is the need of the hour. To address this demand, in this study, we introduce an edge cloud system that equips a multimedia service function chaining capability. A prototype implementation of the proposed edge cloud system has three main features: 1) edge computing deployment by using OpenStack, 2) multimedia service slicing and chaining, and 3) efficient resource management in edge networks. Based on these features, the proposed system achieves lower multimedia processing delay compared to a conventional cloud computing platform. We deploy the proposed system in our laboratory and validate the system performance by using typical multimedia application, such as human detection in video surveillance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CCNC.2018.8319249 | 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) |
Keywords | Field | DocType |
Edge computing,Multimedia service slicing,Service function chaining,Multimedia processing,OpenStack | Resource management,Edge computing,Chaining,Software deployment,Computer science,Slicing,Internet of Things,Computer network,Multimedia,Cloud computing,Processing delay | Conference |
ISSN | ISBN | Citations |
2331-9852 | 978-1-5386-4791-2 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kentaro Imagane | 1 | 1 | 0.73 |
| Kenji Kanai | 2 | 24 | 18.26 |
| Jiro Katto | 3 | 262 | 66.14 |
| Toshitaka Tsuda | 4 | 20 | 8.44 |
| Hidenori Nakazato | 5 | 67 | 57.59 |