Orchestrator-Based Bandwidth Configuration for Hybrid Cloud Gateways
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Solution Overview
Problem
In hybrid cloud computing environments, the speed of data connection between onsite and offsite locations can decrease due to changes in the environment, necessitating adjustments to maintain desired bandwidth and connection speed.
Innovation Solution
An architecture that includes an orchestrator connected to both onsite and offsite locations, which monitors and adjusts bandwidth and other parameters by using APIs and gateways to dynamically fine-tune the connection, ensuring sufficient bandwidth and efficient data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the connection environment changes (e.g., workload increases, geographic distance), then the connection speed decreases, but increasing bandwidth to maintain speed increases device complexity and cost
Solution Approach 1:
The system dynamically adjusts bandwidth allocation based on real-time monitoring of connection speed, workload changes, and environmental factors. The orchestrator continuously modifies bandwidth parameters without requiring manual intervention, making the system adaptive to changing conditions while maintaining optimal connection speed
Solution Approach 2:
The system implements a feedback loop where the orchestrator monitors connection speed and environmental changes, then automatically adjusts bandwidth allocation in response. This closed-loop control ensures connection speed is maintained while avoiding excessive bandwidth allocation that would increase complexity and cost
2Reliability
If manual bandwidth adjustment is performed to maintain connection speed, then connection reliability improves, but the response time to environmental changes increases
Solution Approach 1:
The orchestrator autonomously monitors connection parameters and automatically adjusts bandwidth allocation in response to environmental changes. The system serves itself by detecting degradation and remedying it without human intervention, ensuring both high reliability and rapid response to changing conditions
Solution Approach 2:
The system continuously monitors connection speed and environmental factors, maintaining constant adjustment of bandwidth parameters. This continuous operation ensures connection reliability is maintained at all times while responding immediately to any changes in the environment
3Productivity
If bandwidth is increased to maintain optimal data transfer speeds, then productivity improves, but energy consumption and cost increase
Solution Approach 1:
The system dynamically changes bandwidth parameters based on actual connection needs, workload demands, and environmental factors. By adjusting bandwidth from minimum to maximum as needed, the system optimizes data transfer efficiency while minimizing energy consumption during periods of lower demand
Solution Approach 2:
The orchestrator allocates bandwidth partially - only the amount needed to maintain optimal connection speed under current conditions. This avoids excessive bandwidth allocation that would waste energy, while ensuring sufficient bandwidth is provided to maintain productivity when required
Data Source
AI summary
Examples herein relate to managing data and network bandwidth. In an example implementation, a method includes monitoring a first location having a local volume and a local gateway and monitoring a second location having a first remote volume and a remote gateway. The method also includes determining a bandwidth requirement for a second remote volume at the second location and configuring the local gateway and the remote gateway for the bandwidth requirement. The method also includes adjusting the local gateway and the remote gateway when the bandwidth requirement changes.