18504106. CDN OPTIMIZATION PLATFORM simplified abstract (Microsoft Technology Licensing, LLC)
Contents
- 1 CDN OPTIMIZATION PLATFORM
CDN OPTIMIZATION PLATFORM
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Frederick C. Chong of Kirkland WA (US)
Huaiye Zhang of Bothell WA (US)
CDN OPTIMIZATION PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18504106 titled 'CDN OPTIMIZATION PLATFORM
Simplified Explanation
The patent application describes techniques for optimizing data distribution in a content delivery network with multiple service providers. By analyzing data usage and cost data, the system determines the most cost-effective way to distribute data for a selected user using a Bayesian optimization algorithm.
- The system accesses data on data usage and cost data for multiple service providers.
- It determines an effective unit cost, multiplex efficiency, and channel utilization for a selected user.
- A Bayesian optimization algorithm is applied to optimize data distribution for the selected user.
- The content delivery network is then configured to redistribute data traffic based on the results of the optimization algorithm.
Potential Applications
This technology could be applied in various industries such as telecommunications, media streaming, and e-commerce to optimize data distribution and improve user experience.
Problems Solved
1. Efficient data distribution: By optimizing data distribution based on usage and cost data, the system can improve network efficiency and reduce costs. 2. Enhanced user experience: By redistributing data traffic effectively, the system can ensure a seamless user experience with faster loading times and reduced latency.
Benefits
1. Cost savings: By determining the most cost-effective way to distribute data, companies can save on network infrastructure costs. 2. Improved performance: Optimizing data distribution can lead to faster loading times and better overall performance for users.
Potential Commercial Applications
"Optimizing Data Distribution in Content Delivery Networks" could be used in the telecommunications industry to improve network efficiency and reduce costs.
Possible Prior Art
One possible prior art for this technology could be existing content delivery network optimization techniques that focus on improving network performance and user experience.
Unanswered Questions
How does this technology handle data privacy and security concerns?
The article does not address how the system ensures the privacy and security of user data during the optimization process.
What impact does this technology have on network scalability?
The article does not discuss how this technology affects the scalability of content delivery networks and whether it can handle increasing data traffic demands.
Original Abstract Submitted
Techniques are disclosed for distributing data in a content delivery network configured to provide edge services using a plurality of service providers. Data indicative of data usage and cost data for the plurality of service providers is accessed. Based on the accessed data, an effective unit cost, multiplex efficiency, and channel utilization are determined for a selected user. A Bayesian optimization algorithm is applied to at least a portion of the accessed data. The content delivery network is configured to redistribute data traffic for the selected user based on a result of the applied Bayesian optimization algorithm.
