Dell products l.p. (20240111600). SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING simplified abstract
Contents
- 1 SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING - 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 Original Abstract Submitted
SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING
Organization Name
Inventor(s)
Gururaj Kulkarni of Bangalore (IN)
Shelesh Chopra of Bangalore (IN)
SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111600 titled 'SYSTEMS AND METHODS FOR CONSISTENCY GROUP BASED RESOURCE THROTTLING
Simplified Explanation
The abstract 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 throttling resource usage accordingly.
- The method involves obtaining resource utilization data for each microservice in a consistency group.
- An analytical engine is used to determine if the resource utilization meets specified thresholds for each parameter.
- If a particular microservice exceeds its threshold, resource utilization is throttled for that microservice and potentially others in the group.
Potential Applications
This technology could be applied in cloud computing environments to optimize resource allocation and ensure consistent performance across distributed operations.
Problems Solved
This method helps prevent resource contention and performance degradation by proactively managing resource utilization within a microservice architecture.
Benefits
- Improved system reliability and performance - Efficient resource allocation based on real-time monitoring - Automated response to resource utilization issues
Potential Commercial Applications
"Resource Utilization Management in Microservice Architectures" could be utilized in cloud service providers, SaaS companies, and any organization utilizing microservices for their applications.
Possible Prior Art
One possible prior art could be traditional resource monitoring and management tools used in distributed systems to optimize performance and resource allocation.
Unanswered Questions
How does this method impact overall system scalability?
This article does not delve into how the throttling of resource utilization for microservices within a consistency group may affect the scalability of the system as a whole. It would be interesting to explore how this method scales as the number of microservices and operations increases.
What are the potential challenges in implementing this method in a real-world production environment?
The article does not address the practical challenges that may arise when implementing this resource utilization management method in a live production environment. Factors such as integration with existing systems, performance overhead, and potential conflicts with other optimization strategies could be important considerations.
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 within the microservice architecture, 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, throttling resource utilization for one or more microservices within the consistency group.
