Dynamic IOPS Bandwidth Modulation in Fiber Channel Networks
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Solution Overview
Problem
Conventional fiber channel topologies face challenges with fixed bandwidth, leading to high costs, increased latency, and inefficient resource utilization, particularly in data centers where on-demand IOPS are required for applications like OLTP and financial transactions.
Innovation Solution
A method and system that utilize multilinear regression analysis and bandwidth modulation to dynamically adjust bandwidth based on IOPS requests and switch categories, optimizing routes and resource allocation in fiber channel network topologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If fixed bandwidth infrastructure is implemented in fiber channel topology, then network stability is improved, but cost increases and resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth allocation by modulating bandwidth based on IOPS requirements and switch categories. Instead of fixed bandwidth infrastructure, the system continuously adjusts bandwidth allocation according to actual network conditions and application demands, allowing the network to adapt its capacity dynamically while maintaining stability through controlled modulation strategies.
Solution Approach 2:
The system changes the bandwidth parameter dynamically based on IOPS requirements. By modifying bandwidth allocation in response to varying network conditions and application needs, the system avoids the cost and inefficiency of fixed high-capacity infrastructure while maintaining network stability through regulated parameter adjustments.
2Stability of the object's composition
If fixed bandwidth infrastructure is implemented in fiber channel topology, then network stability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The system employs dynamic bandwidth allocation that adjusts capacity in real-time based on actual IOPS requirements. This allows the network to maintain stability through controlled modulation while significantly improving resource utilization by allocating bandwidth only when and where needed, rather than maintaining fixed high-capacity infrastructure that sits underutilized.
Solution Approach 2:
By dynamically changing bandwidth parameters based on network conditions and application demands, the system achieves both stability and high resource utilization. The bandwidth parameter is adjusted continuously to match actual needs, preventing both over-provisioning waste and under-provisioning performance degradation.
3Productivity
If on-demand bandwidth supply is implemented, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors IOPS requirements and network conditions, then adjusts bandwidth allocation accordingly. This closed-loop control enables on-demand bandwidth supply with improved resource utilization while managing complexity through systematic feedback-based decision-making rather than ad-hoc adjustments.
Solution Approach 2:
The system performs self-service by automatically monitoring its own performance metrics and adjusting bandwidth allocation without external intervention. The multilinear regression analysis and dynamic modulation operate autonomously based on observed network conditions, reducing the need for complex manual configuration and management.
4Loss of energy
If dynamic bandwidth modulation is implemented, then cost is reduced and resource utilization is improved, but system complexity increases
Solution Approach 1:
The system uses feedback-based dynamic modulation where bandwidth adjustments are driven by monitored performance metrics and IOPS requirements. This systematic approach reduces cost and improves resource utilization while managing complexity through rule-based feedback mechanisms rather than arbitrary adjustments.
Solution Approach 2:
The dynamic bandwidth modulation system operates autonomously, monitoring its own performance and making self-service adjustments to bandwidth allocation. The multilinear regression analysis and modulation algorithms run automatically based on observed conditions, reducing the need for complex external management while achieving cost reduction and improved utilization.
Data Source
AI summary
A method of managing Input Output per Second (IOPS) in Fiber Channel network topology is disclosed. The method includes initializing a plurality of network parameters into dependent variables and independent variables. The method includes performing multilinear regression analysis on at least one of the dependent variables and the independent variables to predict a value of at least one dependent variable. The method includes clustering each of a plurality of switches into a plurality of categories based on the predicted value. The method includes determining a plurality of routes between source and destination switches associated with an lops request. The method includes establishing a connection between the source and destination switches through a shortest route including a subset of switches. The method includes modulating, for each switch in the subset, a bandwidth according to an IOPS associated with the IOPS request and a category associated with each switch in the subset.