2. PERFORMANCE MANAGEMENT 2
WHAT IS PERFORMANCE MANAGEMENT?
Performance management (PM) is about systems that
ensure the availability and quality of telecommunications
networks and services. Today’s sophisticated PM solutions
are even more popular than those used in the past.
Nevertheless, implementing PM systems can be a
complex task requiring domain knowledge, experience
and effort to get right. Of course, individual cases differ as
network size will influence the number of indicators that
a PM system should monitor. There are parameters that
come from the network (for example, relating to physical
operations for service delivery), and those that are derived
from abstracts, such as the services themselves and their
components.
3. PERFORMANCE MANAGEMENT 3
Monitoring System
Orcale Node
Mediation Device
Source
Source Source
Source Source
Source Source Source
Source Source
Mediation Device Mediation Device Mediation Device Mediation Device
Orcale Node Orcale Node Orcale Node Orcale Node
Monitoring System
Monitoring Broker System
Monitoring System Monitoring System Monitoring System
PM MONITORING SYSTEM
MEDIATION
PM ENGINE
PERFORMANCE MANAGEMENT AND ARTIFICIAL INTELLIGENCE
The information provided by PM systems constitutes a popular data sources for AI systems. With this in mind, a
robust PM system will deliver automatic base-value creation, detecting violations of the established values, and
creating anomalies that correlate multiple overruns into a single event that requires corrective actions. PM and
AI together can – even should – help telcos to respond to requirements for physical network layer optimization
and detect unexpected changes in current parameters.
THE CHALLENGES OF PERFORMANCE MANAGEMENT
With increasingly sophisticated services, even in stable networks, the number of parameters to be monitored
and the frequency of monitoring can prove to be huge challenges for PM systems. These challenges could be
described as:
n Defining the relationship between elements at the bottom of service structures, and higher layers
n Finding ways to standardize dependencies and structures, mostly due to the increasingly open
business environment in telecommunications
n Encouraging the mutually beneficial relations that define the delivery of services via a supply chain
that might encompass many different vendors
Comarch Performance Management Architecture
4. PERFORMANCE MANAGEMENT 4
WHAT ARE CUSTOMERS SEEKING IN PERFORMANCE MANAGEMENT SERVICES?
PM service suppliers such as Comarch must today be able to provide measurement structures, parameter
correlation patterns and measurement schemes, and to build indicators for increasingly complex services.
Customers also demand flexibility, and the ability for PM systems to integrate well with other aspects of their
infrastructure. Crucially, they need data presented in an attractive, easy to understand manner, even as team
structures change and the overall management of telecommunications services becomes more complex.
Example of the Comarch Performance Management Dashboard
Example of Comarch Performance Management integration with Comarch Fault Management in one dashboard
5. PERFORMANCE MANAGEMENT 5
WHAT DIFFERENTIATES COMARCH’S PERFORMANCE MANAGEMENT SOLUTIONS?
Comarch’s PM systems meet the demands outlined above, adding further value in other key areas. For
example, the Comarch product helps users identify root causes of problems, via extensive drill-down
mechanisms. It also enables automated predictions about network services and resource use, based on
machine learning.
Other advantages of Comarch PM include:
n Standards-based application of pre-prepared patterns of parameter correlation
n
High configuration flexibility, thanks to simplified definition of filters, relationships, and the complete
logic of building indicators and their operational conditions
n
A unique specific report engine, designed and built in-house, allowing knowledge of the juxtaposition
of different parameters to be understood and acted upon easily – following the “minimum but
sufficient” information paradigm
n
Simple integration with even the largest corporate reporting systems, via open APIs, for reporting
and external monitoring of business partners’, suppliers’ and customers’ systems
n Further integration for accessing data from third-party systems
n
Clarity and readability of data, presented across a range of fields including geo-locational, in a visually
attractive manner
An example of a system based on machine learning methods.