International business machines corporation (20240126614). PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING simplified abstract
Contents
- 1 PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING - 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
PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING
Organization Name
international business machines corporation
Inventor(s)
Matthew De Souza of Kanata (CA)
Nick Antonov of Fredericton (CA)
PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126614 titled 'PERFORMANCE ANALYSIS AND ROOT CAUSE IDENTIFICATION FOR CLOUD COMPUTING
Simplified Explanation
The computer-implemented method described in the abstract involves searching for runtime processes in cloud-based containers, selecting and injecting code libraries for profilers, relinking the code libraries, and executing the profilers to produce results.
- Searching for runtime processes in cloud-based containers
- Selecting and injecting code libraries for profilers
- Relinking the code libraries
- Executing the profilers to produce results
Potential Applications
This technology could be applied in cloud computing environments to optimize performance and troubleshoot issues in runtime processes.
Problems Solved
This technology helps in efficiently locating and analyzing runtime processes in cloud-based containers, which can improve overall system performance and reliability.
Benefits
The benefits of this technology include enhanced performance optimization, streamlined troubleshooting processes, and improved system reliability in cloud computing environments.
Potential Commercial Applications
One potential commercial application of this technology could be in cloud service providers offering performance optimization and troubleshooting services to their clients.
Possible Prior Art
One possible prior art could be existing profiling tools and methods used in software development and performance optimization.
Unanswered Questions
How does this technology compare to existing profiling tools and methods in terms of efficiency and accuracy?
This article does not provide a direct comparison between this technology and existing profiling tools in terms of efficiency and accuracy.
What are the potential limitations or challenges in implementing this technology in different cloud computing environments?
This article does not address the potential limitations or challenges in implementing this technology in various cloud computing environments.
Original Abstract Submitted
examples described herein provide a computer-implemented method that includes, in response to receiving a request against the workload in an environment comprising predetermined cloud-based containers, searching predetermined container runtime interface metadata across a plurality of compute nodes in the environment to locate runtime processes. the method further includes selecting, for each runtime process located, a respective applicable profiler from a set of predetermined profilers sharing a transactional database. the method further includes injecting, for each runtime process located, predetermined code libraries for each respective applicable profiler. the method further includes re-linking the predetermined code libraries for each respective applicable profiler. the method further includes executing, for each runtime process located, each respective applicable profiler to produce a set of results.
