  In recent years, a number of major improvements were introduced in the area
of computer networks, energy-efficient network protocols and network management
systems. Software Defined Networking (SDN) as a new paradigm for managing
complex networks brings a significant opportunity to reduce the energy
consumption among ICT. In this paper, we are tackling improvements in the
process of monitoring the states of the networking devices and optimizing the
existing solutions. We are monitoring the energy consumption of a network
architecture and augment the retrieved raw power data to detect changes in the
state of the devices. The goal is to benchmark the difference between the power
data fetched from the real-measures and the data extracted from the power
models, translated as the expected behavior of the devices. An application is
designed to monitor and analyze the retrieved power data of a simulated ICT
infrastructure composed of Cisco switches and routers, Dell Precision stations
and Raritan PDUs. Moreover, smart algorithms are developed which outcome
results with detection of changes in the state of the devices, as well as with
detection and isolation of possible anomalies and their impact on the energy
consumption. The application is envisioned to be an extension to the existing
SDN controllers for monitoring and reporting the changes in the state of the
ICT devices.
