2015
Pedro Heleno Isolani, Juliano Araujo Wickboldt, Cristiano Bonato Both, Juergen Rochol, Lisandro Zambenedetti Granville
Interactive monitoring, visualization, and configuration of OpenFlow-based SDN Inproceedings
In: 14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015, pp. 207–215, IEEE, 2015, ISSN: 1573-0077.
Abstract Links BibTeX Tags: Network Visualization and Monitoring OpenFlow Software-Defined Networking (SDN)
@inproceedings{DBLP:conf/im/IsolaniWBRG15,
title = {Interactive monitoring, visualization, and configuration of OpenFlow-based SDN},
author = {Pedro Heleno Isolani and Juliano Araujo Wickboldt and Cristiano Bonato Both and Juergen Rochol and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1109/INM.2015.7140294},
doi = {10.1109/INM.2015.7140294},
issn = {1573-0077},
year = {2015},
date = {2015-01-01},
booktitle = {14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015},
pages = {207--215},
publisher = {IEEE},
abstract = {Software-Defined Networking (SDN) is an emerging paradigm that arguably facilitates network innovation and simplifies network management. However, in the context of SDN, management activities, such as monitoring, visualization, and configuration can be considerably different from traditional networks. An SDN controller, for example, can be customized by network administrators according to their needs. Such customizations might pose an impact on resource consumption and traffic forwarding performance, which is difficult to assess without an SDN-devoted management system. In this paper, we initially present an analysis of control traffic in SDN aiming to better understand the impact of the communication between the controller and forwarding devices. Afterwards, we propose an interactive approach to SDN management through monitoring, visualization, and configuration that includes the administrator in the management loop. To show the feasibility of our approach a prototype has been developed. The results obtained with this prototype show that our approach can help the administrator to better understand the impact of configuring SDN-related parameters on the overall network performance.},
keywords = {Network Visualization and Monitoring, OpenFlow, Software-Defined Networking (SDN)},
pubstate = {published},
tppubtype = {inproceedings}
}
Software-Defined Networking (SDN) is an emerging paradigm that arguably facilitates network innovation and simplifies network management. However, in the context of SDN, management activities, such as monitoring, visualization, and configuration can be considerably different from traditional networks. An SDN controller, for example, can be customized by network administrators according to their needs. Such customizations might pose an impact on resource consumption and traffic forwarding performance, which is difficult to assess without an SDN-devoted management system. In this paper, we initially present an analysis of control traffic in SDN aiming to better understand the impact of the communication between the controller and forwarding devices. Afterwards, we propose an interactive approach to SDN management through monitoring, visualization, and configuration that includes the administrator in the management loop. To show the feasibility of our approach a prototype has been developed. The results obtained with this prototype show that our approach can help the administrator to better understand the impact of configuring SDN-related parameters on the overall network performance.
Pedro Heleno Isolani, Juliano Araujo Wickboldt, Cristiano Bonato Both, Juergen Rochol, Lisandro Zambenedetti Granville
SDN interactive manager: An OpenFlow-based SDN manager Inproceedings
In: 14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015, pp. 1157–1158, IEEE, 2015, ISSN: 1573-0077, (Demo, Best demo award).
Abstract Links BibTeX Tags: Network Visualization and Monitoring OpenFlow Software-Defined Networking (SDN)
@inproceedings{DBLP:conf/im/IsolaniWBRG15a,
title = {SDN interactive manager: An OpenFlow-based SDN manager},
author = {Pedro Heleno Isolani and Juliano Araujo Wickboldt and Cristiano Bonato Both and Juergen Rochol and Lisandro Zambenedetti Granville},
url = {https://doi.org/10.1109/INM.2015.7140457},
doi = {10.1109/INM.2015.7140457},
issn = {1573-0077},
year = {2015},
date = {2015-01-01},
booktitle = {14th IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015},
pages = {1157--1158},
publisher = {IEEE},
abstract = {Currently, many investigations addressed SDN management considering using monitoring information for different purposes. Zhang [1] used monitoring information to develop algorithms for anomaly detection and traffic engineering. Jose et al. [2] used the same monitoring information to propose mechanisms for online measurement of large traffic aggregates. Yu et al. [3] proposed FlowSense, which is aimed to keep the lowest control channel overhead and the highest information accuracy as possible in OpenFlow monitoring. Chowdhury et al. addressed SDN monitoring from a different perspective. The authors proposed Payless [4] framework that is able to deal with monitoring considering the polling frequency and data granularity. Payless relies on OpenTM [5] to select only important switches to be monitored, also aiming to reduce the overhead imposed in the control channel. Thus, this framework allows to adjust the polling frequency parameter to balance the control channel overhead, imposed by monitoring messages, and accuracy of monitored information.},
note = {Demo, Best demo award},
keywords = {Network Visualization and Monitoring, OpenFlow, Software-Defined Networking (SDN)},
pubstate = {published},
tppubtype = {inproceedings}
}
Currently, many investigations addressed SDN management considering using monitoring information for different purposes. Zhang [1] used monitoring information to develop algorithms for anomaly detection and traffic engineering. Jose et al. [2] used the same monitoring information to propose mechanisms for online measurement of large traffic aggregates. Yu et al. [3] proposed FlowSense, which is aimed to keep the lowest control channel overhead and the highest information accuracy as possible in OpenFlow monitoring. Chowdhury et al. addressed SDN monitoring from a different perspective. The authors proposed Payless [4] framework that is able to deal with monitoring considering the polling frequency and data granularity. Payless relies on OpenTM [5] to select only important switches to be monitored, also aiming to reduce the overhead imposed in the control channel. Thus, this framework allows to adjust the polling frequency parameter to balance the control channel overhead, imposed by monitoring messages, and accuracy of monitored information.