Samsung electronics co., ltd. (20240323251). METHOD, DEVICE, AND SYSTEM FOR OPTIMIZING LOAD BALANCING ALGORITHM ACCORDING TO APPLICATION simplified abstract

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METHOD, DEVICE, AND SYSTEM FOR OPTIMIZING LOAD BALANCING ALGORITHM ACCORDING TO APPLICATION

Organization Name

samsung electronics co., ltd.

Inventor(s)

Hosung Baek of Suwon-si (KR)

Shinsoo Yun of Suwon-si (KR)

Minkyo Jung of Suwon-si (KR)

Jiyeon Yoon of Suwon-si (KR)

METHOD, DEVICE, AND SYSTEM FOR OPTIMIZING LOAD BALANCING ALGORITHM ACCORDING TO APPLICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240323251 titled 'METHOD, DEVICE, AND SYSTEM FOR OPTIMIZING LOAD BALANCING ALGORITHM ACCORDING TO APPLICATION

Simplified Explanation:

This patent application describes a method, device, and system for providing a load balancing algorithm based on the characteristics of an application. The method involves calculating values of various application characteristics, evaluating application impact scores for different load balancing algorithms, and selecting the most suitable algorithm based on these scores.

  • The method calculates application characteristics based on service load information.
  • It evaluates impact scores to determine how each characteristic affects different load balancing algorithms.
  • The algorithm selection is based on a combination of application characteristics and impact scores.

Key Features and Innovation:

  • Calculation of application characteristics from service load information.
  • Evaluation of application impact scores for load balancing algorithms.
  • Selection of the most appropriate load balancing algorithm based on characteristics and impact scores.

Potential Applications:

This technology can be applied in various industries where load balancing is crucial for optimizing performance and resource allocation. It can be used in cloud computing, network management, and server optimization.

Problems Solved:

This technology addresses the challenge of selecting the most effective load balancing algorithm for a specific application. By considering application characteristics and impact scores, it ensures optimal performance and resource utilization.

Benefits:

  • Improved efficiency in load balancing.
  • Enhanced performance of applications.
  • Better resource allocation and utilization.

Commercial Applications:

Optimizing load balancing algorithms based on application characteristics can benefit companies in the cloud computing, networking, and server management sectors. This technology can lead to cost savings, improved performance, and better user experience.

Prior Art:

Readers interested in exploring prior art related to this technology can start by researching load balancing algorithms, application characteristics, and performance optimization in computing systems.

Frequently Updated Research:

Stay informed about the latest advancements in load balancing algorithms, application optimization, and performance management in computing systems to enhance the effectiveness of this technology.

Questions about Load Balancing Algorithm Optimization: 1. What are the key factors to consider when selecting a load balancing algorithm for an application? 2. How does this technology improve the efficiency of load balancing in computing systems?


Original Abstract Submitted

a method, device, and system for providing a load balancing algorithm according to an application are provided. the method includes calculating values of a plurality of application characteristics based on first service load information for a first application, evaluating a plurality of application impact scores for each of a plurality of load balancing algorithms, the plurality of application impact scores indicating a degree to which each of the plurality of application characteristics impacts each of the plurality of load balancing algorithms, and providing a first load balancing algorithm from among the plurality of load balancing algorithms based on the values of the plurality of application characteristics and the plurality of application impact scores.