Dynamic Network Throughput Control for Data Protection
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Solution Overview
Problem
Current data protection systems face challenges in automating operations effectively across complex, multi-domain, and multi-cloud environments, struggling with dynamic adjustments, comprehensive discovery of issues, and optimization of data protection infrastructure and operations in response to changing conditions and best practices.
Innovation Solution
A data protection automatic optimization system that automates operations by dynamically adjusting network throughput, optimizing data protection infrastructure, and performing automated data health remediation, using analytics engines and manager applications to monitor and respond to events, such as ransomware attacks, and prioritize operations based on data custody policies and service levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data protection operations are performed at high network throughput to improve productivity, then data protection efficiency is improved, but network congestion and system stability deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of network throughput levels based on real-time monitoring of system conditions. The system automatically increases throughput during normal operations to maximize data protection efficiency, and dynamically reduces throughput when congestion or stability issues are detected, resolving the contradiction between productivity and reliability through adaptive control
Solution Approach 2:
The system employs continuous monitoring and feedback mechanisms that track network conditions, system performance, and stability metrics. This feedback loop enables the system to adjust network throughput levels in response to actual system state, ensuring that data protection operations maintain high efficiency while preventing network congestion and stability deterioration
2Reliability
If manual monitoring and adjustment of data protection operations is performed to improve reliability, then system control and stability are improved, but operational complexity and time consumption increase
Solution Approach 1:
The patent implements automated systems that perform self-monitoring, self-diagnosis, and self-adjustment of data protection operations. The system automatically detects issues, analyzes system conditions, and adjusts network throughput levels without human intervention, maintaining high reliability while eliminating the operational complexity and time consumption associated with manual monitoring and adjustment
3Measurement precision
If comprehensive data collection and monitoring are performed to improve measurement precision, then issue detection capability is improved, but system resource consumption and complexity increase
Solution Approach 1:
The patent implements selective and targeted monitoring that focuses data collection efforts on specific critical parameters and potential issue areas rather than uniformly monitoring all system aspects. This approach maintains high issue detection capability by concentrating monitoring resources on the most important metrics while reducing overall system complexity and resource consumption compared to comprehensive universal monitoring
Data Source
AI summary
A system includes a memory and at least one processor to set a network throughput level setting to a default network traffic rate in a computer network, begin a data protection operation at the network throughput level setting in the computer network, continually monitor the computer network and determine that a condition has occurred in the computer network, dynamically adjust the network throughput level setting in response to the condition by one of decreasing the network throughput level setting by a network traffic rate increment and increasing the network throughput level setting by the network traffic rate increment, and dynamically shape network or storage traffic for the data protection operation using the network throughput level setting.