Dell products l.p. (20240111630). SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING simplified abstract
Contents
- 1 SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING
Organization Name
Inventor(s)
Gururaj Kulkarni of Bangalore (IN)
Shelesh Chopra of Bangalore (IN)
SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111630 titled 'SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED SELF HEALING
Simplified Explanation
The patent application describes a method within a microservice architecture that involves monitoring resource utilization for each microservice in a consistency group, analyzing whether the utilization meets predefined thresholds, and implementing self-healing processes based on the analysis.
- Obtaining resource utilization data for each microservice in a consistency group
- Analyzing resource utilization to determine if it meets predefined thresholds for each microservice
- Implementing self-healing processes to adjust resource allocation based on the analysis
Potential Applications
This technology could be applied in cloud computing environments, distributed systems, and large-scale software applications to optimize resource allocation and improve system performance.
Problems Solved
This technology helps in identifying and addressing resource bottlenecks, ensuring consistent performance across microservices, and automating the process of resource allocation adjustments.
Benefits
The benefits of this technology include improved system reliability, optimized resource utilization, enhanced scalability, and reduced manual intervention in managing microservices.
Potential Commercial Applications
Optimizing resource allocation in cloud computing platforms Enhancing performance in distributed systems Improving scalability in large-scale software applications
Possible Prior Art
One possible prior art could be the use of monitoring tools in cloud computing environments to track resource utilization and performance metrics for individual services.
Unanswered Questions
1. How does the method handle dynamic changes in resource demands across microservices within the consistency group? 2. What specific algorithms or techniques are used in the analytical engine to determine if resource utilization meets predefined thresholds?
Original Abstract Submitted
one example method includes, within a microservice architecture: (i) obtaining, via a monitor engine, a resource utilization associated with a set of parameters for each microservice within a consistency group, wherein each microservice within the consistency group is associated with a particular distributed operation, and wherein the consistency group defines, for each microservice within the consistency group, one or more threshold values associated with each parameter of the set of parameters, (ii) determining, via an analytical engine, whether resource utilization satisfies a particular threshold of the one or more threshold values associated with a particular parameter of the set of parameters for a particular microservice within the consistency group, and (iii) based upon resource utilization satisfying the particular threshold of the particular parameter for the particular microservice within the consistency group, implementing a self-healing process to selectively modify resource allocation for one or more microservices within the consistency group.
