Data Center Selection via Network Latency Measurement
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Solution Overview
Problem
Selecting the optimal data center for cloud-based applications is challenging due to unpredictable network latency, which significantly impacts user experience, as it varies greatly depending on the chosen data center and is difficult to predict.
Innovation Solution
A data center selection device that measures network connectivity delays for multiple data centers and selects the best one based on these statistics, assisted by a directory server maintaining a directory of data centers and their associated test applications, to deploy cloud-based applications with lower latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are hosted in the cloud on hyperscaler servers, then resource scalability and cloud infrastructure benefits are improved, but network latency and application delay increase
Solution Approach 1:
The patent introduces an intermediary system (data center selection device/directory server) that mediates between the application and cloud infrastructure. This intermediary measures network connectivity delays to multiple data centers and selects the optimal one, thereby reducing network latency while maintaining cloud hosting benefits.
Solution Approach 2:
The system performs preliminary measurements of network connectivity delays to multiple data centers before deploying or routing applications. By pre-measuring and storing connectivity statistics, the system can quickly select optimal data centers without real-time delay, reducing overall application latency.
2Reliability
If multiple data centers are monitored for selection, then application performance is improved, but measurement and selection complexity increases
Solution Approach 1:
The directory server automatically maintains updated connectivity statistics for multiple data centers through continuous or periodic measurements. This self-updating mechanism eliminates the need for manual configuration or complex real-time monitoring systems, reducing selection complexity while maintaining reliable performance data.
Solution Approach 2:
The system changes the parameter being measured from raw network delay to a processed connectivity statistic that can be directly used for selection. By transforming complex network measurements into simplified selection criteria, the system reduces decision complexity while maintaining performance reliability.
Data Source
AI summary
Some embodiments are directed to a data center selection device for cloud-based application deployment. The device may send a request for test data from multiple test applications at multiple data centers and determine separate network statistics for the multiple data centers. A data center may be selected based at least in part on the measured network statistics, where an application may be deployed.