Multi-attribute value functions in energy-aware network control

TL;DR

This paper analyzes energy-control technologies in computer networks, using decision analysis to assess their cost-effectiveness and sustainability based on network type and operator risk preferences.

Contribution

It introduces a formal decision analysis framework to evaluate and classify energy-control solutions considering risk and benefit factors.

Findings

Energy control solutions vary in cost-effectiveness.

Network type influences energy solution sustainability.

Operator risk tolerance affects deployment decisions.

Abstract

This paper evaluates and classifies existing and emerging energy-control technologies for computer networks based on their relative value functions. Using formal decision analysis methods, we demonstrate the impact of risk-benefit dimensions on technology certain equivalent and deployment perspective. We demonstrate how energy control solutions can be cost-effective or unsustainable depending on network type and operator risk tolerance.