17936435. Intelligent Process Management in Serverless Workflow Cloud Environments simplified abstract (International Business Machines Corporation)
Contents
- 1 Intelligent Process Management in Serverless Workflow Cloud Environments
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Intelligent Process Management in Serverless Workflow Cloud Environments - 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
Intelligent Process Management in Serverless Workflow Cloud Environments
Organization Name
International Business Machines Corporation
Inventor(s)
Intelligent Process Management in Serverless Workflow Cloud Environments - A simplified explanation of the abstract
This abstract first appeared for US patent application 17936435 titled 'Intelligent Process Management in Serverless Workflow Cloud Environments
Simplified Explanation
Intelligent process management involves determining start and backfill times for additional processes to be run on worker nodes efficiently. By adding buffer times to the sleep state of a task, a scheduling plan is generated and executed for the additional process.
- Start time determined for additional process based on sleep state of task and buffer time
- Backfill time calculated by subtracting buffer time from end time of sleep state
- Scheduling plan generated and executed for additional process on worker node
Potential Applications
This technology can be applied in various industries such as cloud computing, data centers, and distributed systems where efficient process management is crucial.
Problems Solved
1. Efficient utilization of worker nodes 2. Optimizing process scheduling for improved performance
Benefits
1. Increased productivity and resource utilization 2. Enhanced performance and reduced wait times for processes
Potential Commercial Applications
Optimized process management for cloud service providers
Possible Prior Art
There may be prior art related to process scheduling algorithms and resource management techniques in distributed systems.
Unanswered Questions
How does this technology handle dynamic changes in workload on worker nodes?
This technology may need to incorporate dynamic workload adjustments to adapt to changing conditions and ensure optimal performance.
What impact does this technology have on overall system scalability?
Understanding how this technology scales with increasing workload and system size is essential for assessing its long-term viability and effectiveness.
Original Abstract Submitted
Intelligent process management is provided. A start time is determined for an additional process to be run on a worker node within a duration of a sleep state of a task of a process already running on the worker node by adding a first defined buffer time to a determined start time of the sleep state of the task. A backfill time is determined for the additional process by subtracting a second defined buffer time from a determined end time of the sleep state of the task. A scheduling plan is generated for the additional process based on the start time and the backfill time corresponding to the additional process. The scheduling plan is executed to run the additional process on the worker node according to the start time and the backfill time corresponding to the additional process.
