Virtual Network Allocation Optimizing Electricity Fees via Temperature-Aware Power Models
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Solution Overview
Problem
Existing virtual network allocation methods fail to accurately consider outside temperature and load rate, leading to low power consumption estimation accuracy and varying electricity fees across regions and time slots, resulting in suboptimal cost minimization.
Innovation Solution
A control apparatus that acquires outside temperature and load rate information to calculate an optimal virtual network allocation using a target function defined by region-specific and time-slot-dependent electricity fee unit costs, incorporating power consumption models that account for temperature and load rate variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a virtual network control method that minimizes power consumption is implemented, then the electricity fee can be reduced, but the power consumption estimation accuracy is low because outside temperature and load rate are not considered
Solution Approach 1:
The patent applies parameter changes by incorporating outside temperature and load rate as additional variables in the power consumption estimation model. The control apparatus acquires outside temperature information and calculates load rates based on traffic amounts, then uses these parameters to dynamically adjust power consumption estimates. This resolves the contradiction by improving estimation accuracy through additional parameters while still achieving electricity fee reduction through optimized virtual network allocation.
2Loss of energy
If virtual network allocation is optimized for minimum electricity fee in a certain time slot, then cost is minimized for that time slot, but the electricity fee is not necessarily the smallest in another time slot due to regional and temporal variations in electricity fee unit cost
Solution Approach 1:
The patent applies dynamics by making the virtual network allocation adaptive to changing conditions across different time slots and regions. The control apparatus acquires electricity fee unit costs for multiple time slots and regions, then dynamically determines optimal allocation strategies based on current conditions. This allows the system to adapt to temporal and regional variations in electricity pricing, ensuring cost minimization is achieved across different scenarios rather than being fixed for a single time slot.
Data Source
AI summary
A control apparatus configured to allocate a virtual network for providing a network service on a physical network includes: acquisition means for acquiring information indicating an outside temperature of each node included in the physical network, physical resource information of the physical network, information indicating a predicted traffic amount of the physical network, and an allocation request for the virtual network; and calculation means for calculating an optimal allocation of the virtual network using a target function defined using a unit cost defined for each region and for each time slot and a power consumption model taking into consideration the outside temperature and a load rate calculated based on the predicted traffic amount, and a restrictive condition obtained based on the physical resource information and the allocation request.