Monitoring, Aggregation and Filtering for Efficient Management of Virtual Networks

Submitted by richard on Thu, 10/17/2013 - 23:06
Stuart Clayman, Richard G. Clegg, Lefteris Mamatas, George Pavlou and Alex Galis
7th International Conference on Network and Service Management CNSM mini-conference
Virtual Networks are characterised as highly dy-
namic network environments, where topologies and nodes adapt
rapidly to changes in user and service demands, user location
and context changes, or resource constraints. This paper presents
a rigorous assessment of an Information Management Overlay
(IMO) suitable for monitoring virtual networks. The IMO system
allows complex monitoring tasks to be performed in a scalable
manner in order that the network manager can monitor the
desired network properties in a way which is accurate, scalable,
and low-bandwidth. The monitoring architecture is decentralised,
not resource intensive (in terms of memory or CPU), and
adaptable to a wide range of virtual topologies.
The IMO architecture uses Information Aggregation Points
and Information Collection Points to scalably aggregate, filter,
and collect data. The IMO is tested for scalability in both
simulation (with over 35,000 thousand nodes) and on a custom-
made virtual network testbed (with over 700 virtual routers),
where we show that it performs well at a variety of monitoring
tasks. This paper shows that the system is scalable and that intel-
ligent configuration of the monitoring system greatly improves its
efficiency. Furthermore, filtering can help reduce the monitoring
load, however, the improvement brought in by filtering is greatly
dependent on the nature of the monitoring task.

This paper looks at monitoring in virtual networks. It introduces an emulated router testbed which can emulate hundreds of routers on networked machines.

author={Clayman, S. and Clegg, R. and Mamatas, L. and Pavlou, G. and Galis, A.},
booktitle={Network and Service Management (CNSM), 2011 7th International Conference on},
title={Monitoring, aggregation and filtering for efficient management of virtual networks},
Paper type