International business machines corporation (20240184609). VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION simplified abstract
Contents
- 1 VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION - 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
VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION
Organization Name
international business machines corporation
Inventor(s)
Abhishek Malvankar of White Plains NY (US)
Alaa S. Youssef of Valhalla NY (US)
Diana Jeanne Arroyo of Austin TX (US)
Asser Nasreldin Tantawi of Somers NY (US)
VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240184609 titled 'VIRTUALIZED ENVIRONMENT CLUSTER UTILIZATION
Simplified Explanation
The abstract describes a technique for compute job allocation in a virtualized computing environment. It involves obtaining a list of currently executing compute jobs, extracting job entities from job description files, creating clusters corresponding to the compute jobs, assigning queued compute jobs to clusters, and reusing the virtualized environment for job execution based on the assigned cluster.
- Obtaining a list of currently executing compute jobs
- Extracting job entities from job description files
- Creating clusters corresponding to compute jobs
- Assigning queued compute jobs to clusters
- Reusing the virtualized environment for job execution based on assigned clusters
Potential Applications
This technology could be applied in cloud computing environments, data centers, and distributed computing systems.
Problems Solved
Efficient allocation of compute jobs, optimization of resource utilization, and improved performance in virtualized environments.
Benefits
Increased productivity, reduced overhead costs, enhanced scalability, and better workload management.
Potential Commercial Applications
Cloud service providers, IT companies, research institutions, and businesses with high computational requirements could benefit from this technology.
Possible Prior Art
Prior art in job scheduling algorithms, resource allocation techniques, and virtualization management systems may exist in the field of distributed computing.
Unanswered Questions
How does this technique handle job priorities in the allocation process?
The abstract does not specify how job priorities are considered when assigning queued compute jobs to clusters.
What impact does this technique have on overall system performance and efficiency?
The abstract does not provide information on the potential performance improvements or efficiency gains achieved through this compute job allocation technique.
Original Abstract Submitted
disclosed embodiments provide techniques for compute job allocation in a virtualized computing environment. a first list of compute jobs that are currently executing in a virtualized environment is obtained. for each job in the first list, a job description file is obtained. an entity extraction process is performed on the job description file to extract a plurality of job entities. multiple clusters are created that correspond to the compute jobs in the first list. a second list of compute jobs that are currently queued for execution is obtained. compute jobs in the second list are assigned to a cluster from the plurality of clusters, and the virtualized environment is reused for execution of a compute job from the second list based on the assigned cluster.
