International business machines corporation (20240103924). DYNAMIC USER PROFILING BASED ON USAGE PATTERNS simplified abstract
Contents
- 1 DYNAMIC USER PROFILING BASED ON USAGE PATTERNS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DYNAMIC USER PROFILING BASED ON USAGE PATTERNS - 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
DYNAMIC USER PROFILING BASED ON USAGE PATTERNS
Organization Name
international business machines corporation
Inventor(s)
Gerard Lawrence Pinto of Livermore CA (US)
Lalit Somavarapha of Fremont CA (US)
Matthias Seul of Folsom CA (US)
DYNAMIC USER PROFILING BASED ON USAGE PATTERNS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240103924 titled 'DYNAMIC USER PROFILING BASED ON USAGE PATTERNS
Simplified Explanation
The patent application describes a method, computer program, and computer system for resource allocation in a cloud computing environment. The system receives a request for resource allocation from a user and determines a profile for the user based on metrics. A workload allocation is then assigned to the user based on the determined profile matching clusters of other users. The system monitors the usage value of the assigned workload allocation, and upgrades the user to a higher workload allocation if the usage value exceeds a threshold value.
- User profile is determined based on metrics
- Workload allocation is assigned based on user profile matching clusters of other users
- Usage value of workload allocation is monitored
- User is upgraded to a higher workload allocation if usage value exceeds a threshold value
Potential Applications
This technology can be applied in various industries such as cloud computing services, data centers, and IT infrastructure management.
Problems Solved
1. Efficient resource allocation in a cloud computing environment 2. Automated workload adjustment based on user usage patterns
Benefits
1. Improved resource utilization 2. Enhanced user experience 3. Cost-effective resource allocation
Potential Commercial Applications
Optimizing resource allocation in cloud computing environments for businesses
Possible Prior Art
Prior art in resource allocation algorithms and workload management systems in cloud computing environments.
Unanswered Questions
How does the system determine the threshold value for upgrading a user's workload allocation?
The patent application does not provide specific details on how the threshold value for upgrading a user's workload allocation is calculated.
What metrics are used to determine the user profile in the system?
The patent application does not specify the exact metrics used to determine the user profile in the system.
Original Abstract Submitted
a method, computer program, and computer system are provided for resource allocation in a cloud computing environment. a request for resource allocation is received from a user in a cloud computing environment. a profile is determined for the user based on one or more metrics. a workload allocation is assigned to the user based on the determined profile matching one or more clusters of other users. a usage value of the assigned workload allocation to the user may be monitored. the user is immediately upgraded to a higher workload allocation based on the usage value exceeding a threshold value.
