FlowMonitor - a network monitoring framework for the Network Simulator 3 (NS-3)

2009 ◽  
Author(s):  
Gustavo Carneiro ◽  
Pedro Fortuna ◽  
Manuel Ricardo
Keyword(s):  
Network Monitoring ◽  
Network Simulator ◽  
Monitoring Framework

scholarly journals FlexMonitor: A Flexible Monitoring Framework in SDN

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 713 ◽  
Author(s):  
Binfeng Wang ◽  
Jinshu Su
Keyword(s):  
Network Management ◽  
Traffic Engineering ◽  
Denial Of Service ◽  
Network Monitoring ◽  
Good Choice ◽  
Monitoring Data ◽  
Centralized Control ◽  
Detection Approach ◽  
Monitoring Framework ◽  
Ddos Detection

Efficient network monitoring is an important basis work for network management. Generally, many management applications require accurate and timely statistics about network states at different aggregation levels at low cost, such as malicious traffic detection, traffic engineering, etc. Moreover, the network environment to be monitored is constantly changing and expanding, including not only the data center for cloud computing but also the Internet of Things (IoT) for smart urban sensing, which requires the intensive study of more fine-grained network monitoring. As is well known, the development of efficient network monitoring approaches greatly relies on a flexible monitoring framework. Software defined network (SDN) can provide dramatic advantages for network management by separating the control plane and data plane. Therefore, it is a good choice to design a flexible monitoring framework based on the advantages of SDN. However, most research works only take advantage of the centralized control feature in SDN, which leads to limited improvement in the flexibility of the monitoring framework. This paper proposes a flexible monitoring framework named FlexMonitor, which can realize greater flexibility based on not only the centralized control feature, but also the high programmability in the controller and the limited programmability in the openflow switches in SDN. There are two key parts in FlexMonitor, namely the monitoring strategy deployment part and the monitoring data collection part, which can enrich the deployment methods of monitoring strategies and increase the kinds of monitoring data sources, respectively. Based on the NetMagic platform, this monitoring framework was implemented and evaluated through realizing a distributed denial of service (DDoS) detection approach. The experimental results show that the proposed DDoS detection approach has a better detection performance compared with other related approaches as well as indirectly show that FlexMonitor can flexibly support a variety of efficient monitoring approaches.

A flow-based network monitoring framework for wireless mesh networks

2007 ◽  
Vol 14 (5) ◽  
pp. 48-55 ◽  
Author(s):  
Feiyi Huang ◽  
Yang Yang ◽  
Liwen He
Keyword(s):  
Wireless Mesh Networks ◽  
Mesh Networks ◽  
Network Monitoring ◽  
Wireless Mesh ◽  
Monitoring Framework

scholarly journals Monitoring within an Autonomic Network: A GANA Based Network Monitoring Framework

2010 ◽  
pp. 303-313 ◽  
Author(s):  
Anastasios Zafeiropoulos ◽  
Athanassios Liakopoulos ◽  
Alan Davy ◽  
Ranganai Chaparadza
Keyword(s):  
Network Monitoring ◽  
Monitoring Framework

Warnings Reduce False Memories for Missing Aspects of Events

2011 ◽  
Vol 58 (3) ◽  
pp. 207-216 ◽  
Author(s):  
Matthew P. Gerrie ◽  
Maryanne Garry
Keyword(s):  
False Recognition ◽  
Source Monitoring ◽  
False Memories ◽  
Monitoring Framework

When people see movies with some parts missing, they falsely recognize many of the missing parts later. In two experiments, we examined the effect of warnings on people’s false memories for these parts. In Experiment 1, warning subjects about false recognition before the movie (forewarnings) reduced false recognition, but warning them after the movie (postwarnings) reduced false recognition to a lesser extent. In Experiment 2, the effect of the warnings depended on the nature of the missing parts. Forewarnings were more effective than postwarnings in reducing false recognition of missing noncrucial parts, but forewarnings and postwarnings were similarly effective in reducing false recognition of crucial missing parts. We use the source monitoring framework to explain our results.

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