| 大会名称 |
| 2021年 総合大会 |
| 大会コ－ド |
| 2021G |
| 開催年 |
|
2021
|
| 発行日 |
|
2021-02-23
|
| セッション番号 |
|
BS-7
|
| セッション名 |
|
AI technologies and their applications for future network systems and services
|
| 講演日 |
|
2021/3/9
|
| 講演場所(会議室等) |
|
Meeting 30
|
| 講演番号 |
|
BS-7-5
|
| タイトル |
|
Virtual Network Embedding Optimization
|
| 著者名 |
|
○Pedro Martinez-Julia, Ved P. Kafle, Hitoshi Asaeda,
|
| キーワード |
|
Network, Resource, Embedding, Optimization
|
| 抄録 |
|
In this paper we discuss how ARCA can optimize VN embedding with a new algorithm based on the Genetic Programming and Dynamic Programming methodologies, together with a new heuristic function that is particularly designed to exploit deductive reasoning techniques. With this algorithm, ARCA is 3 to 6 times faster than previous solutions.
|
| 本文pdf |
|
PDF download
|
