SAP SE (20240378129). Proactive Software Performance Evaluation and Support simplified abstract
Contents
Proactive Software Performance Evaluation and Support
Organization Name
Inventor(s)
Proactive Software Performance Evaluation and Support - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378129 titled 'Proactive Software Performance Evaluation and Support
The abstract of the patent application describes a proactive approach to software performance evaluation and support in a cloud architecture. By collecting key performance indicators (KPIs) across multiple tenants, such as data volumes and runtime metrics, and using artificial intelligence (AI) for predictive analytics, software performance challenges can be identified and addressed early.
- Key Features and Innovation:
- Proactive software performance evaluation in a cloud architecture
- Collection of KPIs across multiple tenants
- Use of AI for predictive analytics and robotic process automation
- Correlation of software performance model characteristics with KPIs
- Early identification of software performance issues through alerts
Potential Applications: This technology can be applied in cloud-based software systems to improve performance and efficiency. It can benefit application designers, software vendors, and end-users by providing early feedback on modeling issues.
Problems Solved: This technology addresses the challenge of proactively identifying and addressing software performance issues in a cloud architecture. By correlating model characteristics with KPIs, it helps in early detection and resolution of performance challenges.
Benefits:
- Early identification of software performance issues
- Improved efficiency and performance in cloud-based systems
- Enhanced user experience through proactive support and feedback
Commercial Applications: This technology can be used by cloud service providers, software development companies, and organizations relying on cloud-based applications to optimize performance and enhance user satisfaction.
Questions about Software Performance Evaluation and Support in a Cloud Architecture:
1. How does the technology collect and analyze key performance indicators across multiple tenants? 2. What are the potential benefits of using artificial intelligence for predictive analytics in software performance evaluation and support?
Original Abstract Submitted
software performance evaluation and support is achieved proactively in a cloud architecture by collecting key performance indicators (kpis) of software performance across multiple tenants. such software performance kpis can include but are not limited to data volumes, backend calculation runtimes, and front end request runtimes. influencing factors of a software performance model (e.g., model complexity, calculation complexity; application complexity) may be gathered. the collected data is referenced as a training corpus to create an artificial intelligence (ai) revealing correlation between model characteristic(s) and software performance. the ai is applied in the form of predictive analytics and/or robotic process automation (rpa) to proactively identify software performance challenges and issue alerts. embodiments may define lower thresholds and/or performance degradations that result in alert triggering. correlating software performance model characteristics to kpis highlights frequently-arising modelling issues. application designers, software vendors, and end-users can receive modeling feedback/support early enough to make relevant adjustments.
