Dynamic Workload Optimization in Multicore Data Packet Processing
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Solution Overview
Problem
Conventional data packet processing methods in computer networks rely on static mechanisms that do not adapt to changing traffic loads, leading to inefficient resource use and premature capacity expansion.
Innovation Solution
A dynamic method and system for rebalancing workload across multiple processor cores by redistributing traffic segments based on predicted workload thresholds, ensuring optimal processing efficiency and minimizing performance deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static packet distribution methods are used, then implementation simplicity is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic workload distribution by continuously monitoring processor core workload levels and adapting packet routing decisions in real-time based on current system state, transitioning from static to dynamic packet distribution mechanisms
Solution Approach 2:
The system employs feedback mechanisms by monitoring workload metrics from processor cores and using this information to dynamically adjust packet routing decisions, creating a closed-loop control system that adapts to changing conditions
2Productivity
If processor capacity is increased to handle growing traffic demand, then processing capability is improved, but system cost increases
Solution Approach 1:
The patent enables dynamic workload balancing that allows existing processor cores to be utilized more effectively by adapting packet distribution to real-time workload conditions, extracting additional processing capacity from existing resources
Solution Approach 2:
The system changes operational parameters by dynamically adjusting packet routing decisions based on workload metrics, transforming how existing hardware resources are utilized without adding physical capacity
3Productivity
If multiple processor cores are assigned to handle increased workload, then processing capacity is improved, but task migration complexity increases
Solution Approach 1:
The patent segments incoming data packets into different traffic segments that can be independently routed to different processor cores, enabling granular workload distribution and simplifying migration decisions
Solution Approach 2:
The system dynamically routes traffic segments to processor cores based on real-time workload conditions, enabling flexible load balancing without complex task migration by making routing decisions at the packet level
Data Source
AI summary
A system and method for dynamically processing data across a plurality of processor cores in a multi-core computing environment for breaking down incoming data traffic into a plurality of segments and dynamically distribute and re-distribute the segments on an ongoing basis so as to allocate the handling of data traffic in a resource efficient manner.