Detecting performance bottlenecks in a target application is provided. In response to receiving hotspot selections from a user interface, bottleneck rules are extracted from a database. A hotspot is a region of source code that exceeds a time threshold to execute in the target application. Metrics needed to evaluate the bottleneck rules extracted from the database are identified. The identified metrics are computed. It is determined whether each bottleneck rule extracted from the database is evaluated to true using the computed metrics for hotspots in the target application. In response to determining that a bottleneck rule is evaluated to true using an appropriate computed metric corresponding to the bottleneck rule, a bottleneck descripti...
Data-driven bottleneck detection has received an increasing interest during the recent years. This a...
Bottleneck analysis plays an important role in the early design of parallel computers and programs. ...
This work shows that combining the techniques of neural networking and predictive analytics with the...
Detecting performance bottlenecks in a target application is provided. In response to receiving hots...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
In order to meet stringent performance requirements, system administrators must effectively detect u...
A crucial step in the process of application performance analysis is the accurate detection of progr...
Today's distributed systems are made of various software componentswith complex interactions and a l...
The problem of interpreting the results of performance analysis is quite critical, mostly because th...
Preprint submitted to Elsevier. The goal of performance maintenance is to improve the performance of...
Bottleneck detection is vital for improving production capacity or reducing production time. Many di...
Abstract. System administrators have to analyze a number of system parameters to identify performanc...
Hotspot is the part of a program where most execution time is spent. Detecting the hotspot enables t...
So you found an odd pattern in your scatter chart that appears to be a bottleneck. What do you do no...
The software performance optimizations process is one of the most challenging aspects of developing ...
Data-driven bottleneck detection has received an increasing interest during the recent years. This a...
Bottleneck analysis plays an important role in the early design of parallel computers and programs. ...
This work shows that combining the techniques of neural networking and predictive analytics with the...
Detecting performance bottlenecks in a target application is provided. In response to receiving hots...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
In order to meet stringent performance requirements, system administrators must effectively detect u...
A crucial step in the process of application performance analysis is the accurate detection of progr...
Today's distributed systems are made of various software componentswith complex interactions and a l...
The problem of interpreting the results of performance analysis is quite critical, mostly because th...
Preprint submitted to Elsevier. The goal of performance maintenance is to improve the performance of...
Bottleneck detection is vital for improving production capacity or reducing production time. Many di...
Abstract. System administrators have to analyze a number of system parameters to identify performanc...
Hotspot is the part of a program where most execution time is spent. Detecting the hotspot enables t...
So you found an odd pattern in your scatter chart that appears to be a bottleneck. What do you do no...
The software performance optimizations process is one of the most challenging aspects of developing ...
Data-driven bottleneck detection has received an increasing interest during the recent years. This a...
Bottleneck analysis plays an important role in the early design of parallel computers and programs. ...
This work shows that combining the techniques of neural networking and predictive analytics with the...