18232958. Automated Elastic Resource Management of a Container System by a Distributed Storage System simplified abstract (Pure Storage, Inc.)
Contents
Automated Elastic Resource Management of a Container System by a Distributed Storage System
Organization Name
Inventor(s)
Dhruv Bhatnagar of Bangalore (IN)
Madanagopal Arunachalam of Bangalore (IN)
Aditya Dani of San Jose CA (US)
Naveen Revanna of Campbell CA (US)
[[:Category:Luis Pablo Pab�n of Sturbridge MA (US)|Luis Pablo Pab�n of Sturbridge MA (US)]][[Category:Luis Pablo Pab�n of Sturbridge MA (US)]]
Automated Elastic Resource Management of a Container System by a Distributed Storage System - A simplified explanation of the abstract
This abstract first appeared for US patent application 18232958 titled 'Automated Elastic Resource Management of a Container System by a Distributed Storage System
- Simplified Explanation:**
The patent application describes a method for automated elastic resource management of a container system by a storage system. This involves analyzing input/output operations to a volume used by a containerized application and directing the container system to adjust resource capacity based on historical data.
- Key Features and Innovation:**
- Automated elastic resource management of a container system
- Analysis of input/output operations to optimize resource capacity
- Historical data utilization for decision-making
- Directing adjustments to resource capacity based on analysis
- Efficient and dynamic resource allocation
- Potential Applications:**
This technology can be applied in cloud computing environments, data centers, and any system utilizing containerized applications that require dynamic resource management.
- Problems Solved:**
- Inefficient resource allocation in container systems
- Lack of automated mechanisms for adjusting resource capacity
- Difficulty in optimizing resource usage based on historical data
- Manual intervention for resource management
- Benefits:**
- Improved performance and efficiency of container systems
- Automated resource management for increased productivity
- Cost savings through optimized resource allocation
- Enhanced scalability and flexibility in resource usage
- Commercial Applications:**
Optimizing resource management in cloud computing services for better performance and cost-efficiency, enhancing data center operations with dynamic resource allocation, and improving overall system scalability in containerized applications.
- Prior Art:**
Readers can explore prior research on automated resource management in container systems, elastic resource allocation in cloud computing, and historical data analysis for optimizing system performance.
- Frequently Updated Research:**
Stay informed about the latest advancements in automated resource management technologies, elastic resource allocation strategies, and container system optimization techniques.
- Questions about Automated Elastic Resource Management:**
1. How does automated resource management benefit container systems? 2. What are the key factors considered when analyzing input/output operations for resource adjustment?
Original Abstract Submitted
An example method for automated elastic resource management of a container system by a storage system comprises providing, by a container storage management system, a volume for use by a containerized application of a container system, the volume deployed on a node of the container system; analyzing, by the container storage management system, input/output (I/O) operations to the volume based on historical I/O operations; and directing, by the container storage management system and based on the analyzing the I/O operations based on the historical I/O operations, the container system to adjust a capacity of a resource associated with the node.
