18392518. RESOURCE MANAGEMENT simplified abstract (Honda Motor Co., Ltd.)
Contents
RESOURCE MANAGEMENT
Organization Name
Inventor(s)
Koji Moriyama of Rancho Palos Verdes CA (US)
Richard Y. Asato of Torrance CA (US)
Ryosuke Shibata of Saitama-shi (JP)
Brian Moran of Rancho Santa Margarita CA (US)
Xiaojian Yang of Anaheim CA (US)
RESOURCE MANAGEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18392518 titled 'RESOURCE MANAGEMENT
- Simplified Explanation: The system described in the patent application is designed to manage resource requests by calculating individual resource requests for multiple resource providers based on their maximum available resources and current average resource residual.
- Key Features and Innovation:
- Receiving total resource requests and maximum available resources from multiple providers - Calculating individual resource requests by comparing available resources with average resource residual - Recalculating average resource residual for accurate allocation
- Potential Applications:
- Cloud computing resource management - Network bandwidth allocation - Task scheduling in distributed systems
- Problems Solved:
- Efficient resource allocation - Avoiding resource overloading - Optimizing resource utilization
- Benefits:
- Improved resource management - Enhanced system performance - Cost-effective resource allocation
- Commercial Applications:
Title: "Optimized Resource Management System for Efficient Allocation" This technology can be applied in cloud service providers, data centers, and network infrastructure companies to streamline resource allocation processes, leading to improved efficiency and cost savings.
- Prior Art:
Readers can explore prior research on resource management algorithms, cloud computing optimization, and network bandwidth allocation techniques to understand the background of this innovation.
- Frequently Updated Research:
Stay updated on the latest advancements in resource management algorithms, cloud computing technologies, and network optimization strategies to enhance the effectiveness of this system.
Questions about Resource Management: 1. How does this system improve resource allocation compared to traditional methods? This system utilizes iterative comparisons to calculate individual resource requests accurately, leading to optimized resource allocation and improved system performance.
2. What are the potential challenges in implementing this resource management system in large-scale networks? Implementing this system in large-scale networks may require robust infrastructure and efficient communication protocols to handle the complex calculations and resource allocation processes effectively.
Original Abstract Submitted
According to one aspect, a system for resource management may perform receiving a total resource request, a vector of two or more maximum available resources associated with two or more corresponding resource providers, and a number of resource providers and calculating an individual resource request for each of the two or more resource providers by iteratively comparing the vector of two or more maximum available resources with a vector of a current average resource residual, taking a minimum between those vectors as a running tally for the individual resource requests, and recalculating the current average resource residual.
