Network Application Deployment with Delay and Reliability Guarantees
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Solution Overview
Problem
Large communication networks face challenges in optimizing data transmission paths for reliability and bandwidth, particularly in scalable and programmable environments, where existing solutions fail to effectively manage end-to-end transmission delay and resource optimization, leading to inefficiencies and potential service disruptions.
Innovation Solution
An electronic data transmission scheduling system that includes a reliability checker, bandwidth checker, and resource planner to analyze and optimize network topology by calculating trade-offs between reliability, bandwidth, and end-to-end delay, ensuring predetermined requirements are met through automated deployment strategies and physical adjustments to data transmission paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If control plane technology is deployed to manage large communication networks, then operating expense and capital expense are reduced, but scalability issues arise and network operator control over traffic paths is limited
Solution Approach 1:
The patent segments the control plane into distributed control entities deployed across multiple network nodes rather than a centralized controller. This segmentation enables independent operation of control functions at different locations, improving scalability while maintaining cost efficiency through automated decision-making at each segment.
Solution Approach 2:
The patent implements dynamic path selection capabilities that allow network operators to adapt traffic routing in real-time based on current network conditions. This dynamic control enables flexible adjustment of traffic paths while maintaining the automated efficiency of control plane technology.
2Reliability
If virtual instances are deployed in distributed environments, then service availability is improved, but control traffic overhead increases and performance guarantees become difficult to ensure
Solution Approach 1:
The patent performs preliminary calculation of worst-case delay bounds and control traffic requirements before deploying virtual instances. This advance planning enables proper resource provisioning and path selection to ensure performance guarantees are met while controlling traffic overhead through optimized initial configurations.
Solution Approach 2:
The patent implements feedback mechanisms that monitor actual control traffic patterns and performance metrics, using this information to dynamically adjust resource allocation and routing decisions. This feedback loop ensures performance guarantees are maintained while minimizing control traffic overhead through data-driven optimization.
3Productivity
If data transmission paths are optimized for bandwidth, then resource utilization is improved, but end-to-end transmission delay may increase
Solution Approach 1:
The patent changes the optimization parameter from purely bandwidth-based to a multi-parameter approach that includes delay bounds as a constraint. By modifying the optimization criteria to consider both bandwidth utilization and transmission delay, the system achieves balanced resource allocation that prevents excessive delay while maintaining efficient bandwidth usage.
Solution Approach 2:
The patent implements dynamic path selection that adapts to real-time network conditions, switching between paths that optimize for bandwidth versus those that minimize delay based on current traffic patterns and service requirements. This dynamic adjustment allows the system to maintain high bandwidth utilization when possible while preventing delay accumulation.
Data Source
AI summary
Embodiments of the invention relate to computerized systems and computerized methods configured to optimize data transmission paths in a large-scale computerized network relative to reliability and bandwidth requirements. Embodiments of the invention further relate to computerized systems and methods that direct and control the physical adjustments to data transmission paths in a large-scale network's composition of computerized data transmission nodes in order to limit data end-to-end transmission delay in a computerized network to a delay within a calculated worst-case delay bound.


