Connectivity Coordinator Bias Model for Network Resource Allocation
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Solution Overview
Problem
Provider networks face challenges in efficiently managing dedicated physical connections, as client demand for these connections can lead to imbalanced utilization of connection capacity groups, resulting in suboptimal resource allocation and increased costs for clients.
Innovation Solution
Implementing a bias model that uses a connectivity coordinator to determine available capacities across different connection capacity groups and influence client selection by adjusting prices based on capacity, encouraging clients to connect to groups with excess capacity, thereby balancing utilization and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If clients connect to connection capacity groups with available capacity, then resource allocation efficiency is improved, but client costs increase
Solution Approach 1:
The patent changes the pricing parameter dynamically based on connection capacity group utilization. When a connection capacity group has excess capacity, the pricing is reduced to attract clients. This parameter change resolves the contradiction by making resource allocation efficient (clients connect to underutilized groups) while keeping costs low for clients through dynamic price adjustments.
2Productivity
If clients connect to connection capacity groups with excess capacity, then resource allocation is optimized, but utilization balance deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors connection capacity group utilization and adjusts pricing accordingly. When a group has excess capacity, pricing is lowered to attract clients, which in turn improves utilization. This feedback loop resolves the contradiction by optimizing resource allocation while maintaining utilization balance through dynamic responses to system state changes.
3Productivity
If dynamic pricing based on capacity is implemented, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces a connectivity coordinator as an intermediary component that manages the complex tasks of monitoring capacity, calculating dynamic prices, and presenting options to clients. This intermediary absorbs the system complexity, allowing the rest of the system to remain relatively simple while still achieving efficient resource allocation through the coordinator's sophisticated capacity-based pricing logic.
Data Source
AI summary
A connectivity coordinator may receive a request for a dedicated physical connection between a provider network and a client network. In response, the connectivity coordinator may determine a capacity for each connection capacity group available to accept the dedicated physical connection. The connectivity coordinator may use the determined capacities for each available connection capacity group to determine bias response information for each connection capacity group based on the determined capacities and a capacity bias model. The connectivity coordinator may provide the determined bias response information to the client as part of a response to the connectivity request to influence the client to select to connect to a connection capacity group that has more physical ports available to accept the dedicated physical connection than other connection capacity groups that have less ports available to accept the dedicated physical connection.