17947274. RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT simplified abstract (Dell Products L.P.)
Contents
- 1 RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT - 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
RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT
Organization Name
Inventor(s)
Rohit Gosain of Bangalore (IN)
Shibi Panikkar of Bangalore (IN)
RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 17947274 titled 'RING ARCHITECTURE-BASED WORKLOAD DISTRIBUTION IN A MICROSERVICE COMPUTING ENVIRONMENT
Simplified Explanation
The abstract of the patent application describes techniques for managing workloads in data processing systems by determining a set of containers to process data records, deploying them in a ring configuration, and automatically reassigning data records when a container becomes inactive.
- The method determines a set of containers for processing data records.
- Each container is configured to process a subset of data records.
- The set of containers is deployed in a ring configuration.
- When a container becomes inactive, another container automatically processes its assigned data records.
Potential Applications
The technology described in this patent application could be applied in various industries where efficient workload management is crucial, such as:
- Cloud computing
- Big data processing
- Distributed systems
Problems Solved
The innovation addresses the following issues:
- Efficient workload distribution
- Automatic failover in case of container failure
Benefits
The benefits of this technology include:
- Improved system reliability
- Enhanced workload management
- Increased processing efficiency
Potential Commercial Applications
The technology could have commercial applications in:
- Data centers
- Software as a Service (SaaS) platforms
- E-commerce websites
Possible Prior Art
One possible prior art could be the use of load balancers in data processing systems to distribute workloads efficiently.
What are the specific technical details of the workload management algorithm described in the patent application?
The specific technical details of the workload management algorithm, such as the criteria used to determine the subset of data records assigned to each container and the mechanism for automatically reassigning data records when a container becomes inactive, are not provided in the abstract.
How does this technology compare to existing workload management solutions in terms of scalability and fault tolerance?
The abstract does not provide information on how this technology compares to existing workload management solutions in terms of scalability and fault tolerance.
Original Abstract Submitted
Techniques are disclosed for managing workloads in data processing systems. For example, a method determines a set of containers for processing a given workload of data records, wherein each container of the set of containers is configured to process a given subset of the data records. The method causes deployment of the set of containers in a ring configuration to process the given workload of data records such that at least one of the containers in the ring configuration automatically processes one or more data records of a subset of data records assigned to another container in the ring configuration that becomes inactive.
