Smart Edge Power Management to Improve Availability and Cost-efficiency of Edge Cloud

With the increased 5G deployments across the world, new use-cases are emerging in many new domains, such as autonomous vehicles, smart cities, smart grid and potentially the proliferation of augmented reality. Some of these applications require high availability, bandwidth and/or extremely low latency that depends on the applied service. Currently the cost of deployment of distributed edge nodes and its relation to the availability of power infrastructure is not well known. In this work, we demystify the cost of edge resources by proposing a cost estimation framework by considering the various existing edge related constraints, such as power grid and edge power node infrastructure. We consider Capital Expenditure (CAPEX) and Operational Expenditure (OPEX) as well as time value of money in relation to the Hardware (HW) redundancy and depreciation for edge cloud resource estimation. The cost of resources are made in relation to the local edge power infrastructure conditions for the applied services and required Service Level Agreement (SLA). The availability of application is estimated using Reliability Block Diagram (RBD) of the edge components including power and cooling systems. We propose a new method, called Smart Edge Power Management (SEPM), that includes identification of the relevant parameters and states of the edge power infrastructure and how to overcome the various edge power related constraints and to further improve the cost efficiency during operation. The performance and evaluation are made on country wide edge deployments for a mobile operator in Sweden. With our new proposed method SEPM, the cost efficiency of edge resources can be improved upto 10%.