Name
Abstract | ||
|---|---|---|
With the rapid development of various real-time services, there is urgent need for application-aware capabilities in realtime network to meet the higher demand for network's quality of service (QoS), security policy and so on. Accurate and cost-effective collection of flow information is needed. However, the contradiction between the real-time, accuracy and performance cost in the passive traffic information collection mode of old board makes it difficult to build application-aware realtime network of high-accuracy. In this paper, we propose an agile application-awareness network (A3N) for software-defined networks (SDN). A3N implements a flow-based self-adaptive sampling strategy (FSS) for the incoming traffic and combines a parallel deep packet inspection (DPI) with high-performance to perceive network traffic changes. Experimental results demonstrate the proposed A3N can gain good performance with low costs, and also provide real-time application-aware services with deep operational visibility. |
Year | Venue | Field |
|---|---|---|
2017 | Asia-Pacific Network Operations and Management Symposium-APNOMS | Deep packet inspection,Visibility,Computer science,Computer network,Quality of service,Agile application,Agile software development,Security policy,Software-defined networking,Network traffic control,Distributed computing |
DocType | ISSN | Citations |
Conference | 2576-8565 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| He Cai | 1 | 0 | 1.01 |
| Jun Deng | 2 | 278 | 18.59 |
| Yuhua Zhang | 3 | 14 | 1.91 |
| Xiaofei Wang | 4 | 686 | 58.88 |
| Sangheon Pack | 5 | 913 | 117.20 |