We’ve Got the Power: A Framework for Real-Time Network Power Monitoring

A Survey on Importance of Network Tools and their Applications

“…A great way to assess fresh concepts and put experimental systems to the test is by building a System Level Simulator (SLS). N. Badini et al According to the study made by Gandotra, R et al [10], a framework that was created to enable non-intrusive realtime power consumption data gathering from the next generation of networking devices was presented in this paper. The experiment's findings using SNMP Agent simulator as given in Figure 9 suggested that, even in the absence of support for the necessary information models, power consumption data can be collected using nonstandard tailored information models, standardised IETF information models, or by abstracting and exposing the data in a uniform format.…”

GPF: A Green Power Forwarding Technique for Energy-Efficient Network Operations

“…Sleeping of network elements was based on the intuition that because computer networks are provisioned for peak load and are generally underutilized, parts of the network or individual devices can be put to sleep during off-peak hours [11]. The work involved in this approach was two-fold: predicting low-utilization periods suitable for energy savings, and reconfiguring the network to put network elements to sleep [10]. The target network element to be put to sleep could either be the physical device(s) [13][14][15], or individual components of one device [16][17][18][19].…”

“…This paper builds on prior research conducted on comparing the energy efficiencies of networking hardware [9] and developing a real-time network power monitoring framework [10], with the objective to incorporate network energy efficiency into the network-wide forwarding decisions, and to study the tradeoffs between energy savings and network performance. [9] presented a detailed energy efficiency study of a variety of network devices and analyzed the power consumption when traffic flows through individual devices as a function of their configuration.…”

“…The test results utilized an in-line power meter and indicated that significant differences in energy efficiency of devices were prevalent based on their forwarding configurations, such as the number or type of the forwarding entries, or whether the forwarding entries were stored in the hardware or the software table. In order to enable the non-intrusive collection of power information from network devices, [10] presented a framework employing information models -both standardized IETF and non-standard customized modelsto demonstrate the feasibility of real-time data gathering for effective network energy management.…”