Virtual Network Reallocation for Electricity-Aware Node Allocation
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Solution Overview
Problem
Existing virtual network allocation methods face increased computational complexity and optimization calculation time as the number of virtual servers and physical network topology scale increases, particularly due to varying electricity rates across different areas and time slots.
Innovation Solution
A control apparatus that includes acquisition means for physical network information, reallocation candidate narrowing means to identify servers based on electricity rate changes, and allocation means to optimize virtual network placement, reducing the burden of reallocation and calculation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If virtual network allocation optimization is performed using existing methods, then electricity rate minimization is achieved, but computational complexity increases when the number of virtual servers and physical network topology scale increase
Solution Approach 1:
The patent segments the virtual server set into multiple groups based on their allocation status and characteristics. Specifically, virtual servers are divided into those already allocated to physical servers and those not yet allocated. This segmentation allows the optimization process to handle different subsets of virtual servers separately, reducing the overall computational complexity while still achieving electricity rate minimization across the entire system.
Solution Approach 2:
The patent applies partial action by performing optimization only on specific subsets of virtual servers rather than all virtual servers simultaneously. The system selectively reallocates virtual servers based on current electricity rates and allocation status, performing optimization iterations on partial sets of servers. This approach reduces computational complexity while still achieving significant energy cost reductions through targeted reallocation.
2Loss of energy
If virtual network allocation optimization is performed using existing methods, then electricity rate minimization is achieved, but optimization calculation time increases
Solution Approach 1:
The patent implements periodic action by performing optimization calculations at specific intervals or triggers rather than continuously. The system monitors electricity rate changes and performs optimization iterations periodically when certain conditions are met, such as when electricity rates change significantly or after a predetermined time period. This periodic approach reduces calculation time while still capturing the benefits of electricity rate minimization.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing information about virtual server characteristics, physical server capacities, and electricity rate patterns before the actual optimization process. This preliminary preparation allows the optimization algorithm to work with pre-processed data, reducing the time required for actual optimization calculations while maintaining accuracy in electricity rate minimization.
Data Source
AI summary
A network control device includes circuitry configured to narrow down virtual servers, to second virtual servers as candidates that are to be reallocated to nodes, based on changes in a cost for the nodes that are included in a physical network; and allocate a second virtual network of virtual networks, to the physical network, based on information related to the physical network.