Amazon technologies, inc. (20240333658). AUTOMATED PROVISIONING TECHNIQUES FOR DISTRIBUTED APPLICATIONS WITH INDEPENDENT RESOURCE MANAGEMENT AT CONSTITUENT SERVICES simplified abstract

AUTOMATED PROVISIONING TECHNIQUES FOR DISTRIBUTED APPLICATIONS WITH INDEPENDENT RESOURCE MANAGEMENT AT CONSTITUENT SERVICES

Organization Name

amazon technologies, inc.

Inventor(s)

Satya Naga Satis Kumar Gunuputi Alluri Venka of Sammamish WA (US)

John Baker of Bellevue WA (US)

Shahab Shekari of Seattle WA (US)

Kartik Natarajan of Shoreline WA (US)

Ruhaab Markas of The Colony TX (US)

Ganesh Kumar Gella of Redmond WA (US)

Santosh Kumar Ameti of Bellevue WA (US)

AUTOMATED PROVISIONING TECHNIQUES FOR DISTRIBUTED APPLICATIONS WITH INDEPENDENT RESOURCE MANAGEMENT AT CONSTITUENT SERVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240333658 titled 'AUTOMATED PROVISIONING TECHNIQUES FOR DISTRIBUTED APPLICATIONS WITH INDEPENDENT RESOURCE MANAGEMENT AT CONSTITUENT SERVICES

Simplified Explanation: The patent application discusses a method for dynamically scaling out resources in response to a client request throttling key, allowing for efficient management of client requests across multiple services.

• **Key Features and Innovation:**

   - Analysis of workload associated with a throttling key
   - Scale-out requirement determination at resource managers of other services
   - Asynchronous resource provisioning tasks initiation
   - Throttling limit update to a second key after resource provisioning
   - Use of updated limit to determine acceptance of client requests

• **Potential Applications:**

   - Cloud computing services
   - Content delivery networks
   - Online gaming platforms

• **Problems Solved:**

   - Efficient resource management in response to varying client request loads
   - Scalability of services to handle increased demand
   - Optimization of system performance

• **Benefits:**

   - Improved response times for client requests
   - Enhanced system reliability and stability
   - Cost-effective resource allocation

• **Commercial Applications:**

   - "Dynamic Resource Scaling Method for Service Management in Cloud Computing"

• **Prior Art:**

   - Prior research on dynamic resource allocation in cloud computing environments
   - Studies on workload analysis and optimization techniques

• **Frequently Updated Research:**

   - Latest advancements in resource management algorithms
   - Case studies on the implementation of dynamic scaling strategies

Questions about Dynamic Resource Scaling Method:

1. *How does the method in the patent application differ from traditional resource scaling approaches?*

  The method in the patent application utilizes a dynamic and asynchronous approach to scale out resources based on the analysis of client request throttling keys, allowing for more efficient and responsive resource management compared to static scaling methods.

2. *What are the potential challenges in implementing this dynamic resource scaling method in real-world service environments?*

  Implementing this method may require significant coordination between different resource managers and services, as well as robust monitoring and feedback mechanisms to ensure optimal performance and resource utilization.

Original Abstract Submitted

based on analysis of a workload associated with a throttling key of a client request directed to a first service, a scale-out requirement of the throttling key is obtained at respective resource managers of a plurality of other services which are utilized by the first service to respond to client requests. the resource managers initiate, asynchronously with respect to one another, resource provisioning tasks at each of the other services to fulfill the scale-out requirement. a throttling limit associated with the throttling key is updated to a second throttling key after the resource provisioning tasks are completed by the resource managers, and the updated limit is used to determine whether to accept another client request associated with the throttling key.