17456210. Avoidance of Workload Duplication Among Split-Clusters simplified abstract (International Business Machines Corporation)
Contents
Avoidance of Workload Duplication Among Split-Clusters
Organization Name
International Business Machines Corporation
Inventor(s)
Avoidance of Workload Duplication Among Split-Clusters - A simplified explanation of the abstract
This abstract first appeared for US patent application 17456210 titled 'Avoidance of Workload Duplication Among Split-Clusters
Simplified Explanation
The abstract of this patent application describes a computer implemented method for avoiding workload duplication in a cluster environment. Here is a simplified explanation of the abstract:
- The computer system identifies a change in the state of a set of cluster resources in a cluster of nodes.
- Upon detecting the state change, the computer system predicts the resource requirements for a workload that is in a queue.
- Based on the predicted resource requirements, the computer system determines a pre-assignment of the workload to a sub-cluster within the cluster.
- The computer system marks the workload to indicate the pre-assignment to the sub-cluster.
Potential Applications:
- This technology can be applied in various cluster computing environments, such as cloud computing or distributed computing systems.
- It can be used in scenarios where multiple nodes or servers work together to process large amounts of data or perform complex computations.
Problems Solved:
- Workload duplication can lead to inefficient resource utilization and increased processing time.
- By predicting resource requirements and pre-assigning workloads to sub-clusters, this technology helps avoid duplication and improves overall efficiency.
Benefits:
- Avoiding workload duplication reduces resource wastage and improves the utilization of cluster resources.
- Pre-assigning workloads based on predicted resource requirements helps optimize workload distribution and reduces processing time.
- This technology can lead to cost savings by maximizing the efficiency of cluster computing environments.
Original Abstract Submitted
A computer implemented method avoids workload duplication in a cluster environment. The computer identifies a state change among a set of cluster resources in a cluster of nodes. Responsive to identifying the state change, the computer predicts resource requirements for a queued workload. The computer determines a pre-assignment of the queued workload to a sub-cluster according to the resource requirements that were predicted for the queued workload. The computer marks the queued workload to indicate the pre-assignment to the sub-cluster.
