CygNet, a product of NMSWorks,
is designed to provide network management solutions for large telecom
operators. Supporting multi-tier deployment in a large network, CygNet
provides the full FCAPS (fault, configuration, accounting, performance
and security) functionality.
goal of the Advanced Network Management project is to enhance the CygNet
NMS with innovative features. These include:
A multi-tier architecture for CygNet has been designed to enable
management of networks with tens of thousands of network devices.
This consists of one central CygNet manager node and one or more
nodes (management stations) that are heirarchically layered. Each
of these stations runs a management process which can be a full-fledged
CygNet NMS or a light-weight mini-CygNet NMS.
Finding the actual cause for faults such as multiple alarms due
to a single failure, diagnosing the root cause of link congestion
etc. is a challenging problem in network management. A rule-based
analysis engine has been developed for doing Root Cause Analysis.
This is an extensible framework and can be used in several situations,
such as diagnosing the root cause of link congestion given only
readily available parameters such as link utilisation.
This management functional area consists of a Security Administration
function and a Detection function. Security administration involves
. User management (multiple levels of passwords, restriction of
unsuccessful login attempts, idle time-out etc. . User based access
control - imposing access restrictions to management information
and privileges based on access rights . Secure transport of management
information between CygNet and the agent, secure storage of management
information at the management station Secure exchange, distribution
and storage of keys. Detection involves monitoring the network for
security breaches and generating Security related Alarms. We have
developed a distributed intrusion detection system to counter increasingly
sophisticated attacks and take some corrective action through a
configuration management engine.
In the current environment of fast-changing technologies, network
operators and organizations face new challenges to keep abreast
with the growing needs of the subscribers. In this scenario, it
is envisaged that there will be a large number of service requests
with different QoS requirements which implies that there will be
a constant change in the configuration of the network. Because of
this, there is a need for automatic and dynamic service provisioning.
An efficient solution to the provisioning problem and a suitable
control plane solution that can work for multi-vendor, multi-technology
network elements is the focus of this project.