Automated Statistical Approach for Memory Leak Detection: Case Studies

2011 ◽  
pp. 635-642 ◽  
Author(s):  
Vladimir Šor ◽  
Nikita Salnikov-Tarnovski ◽  
Satish Narayana Srirama
Keyword(s):  
Case Studies ◽  
Statistical Approach ◽  
Leak Detection ◽  
Memory Leak

Finding Big Leaks with Big Data: Case Studies from an Internet-of-Things Leak Detection Platform

2020 ◽  
Author(s):  
Matthew Barrett ◽  
Zohreh Andalibi ◽  
Tatiana Baeva ◽  
Adam Chan
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Case Studies ◽  
Leak Detection

Memory leak detection in Plumbr

2014 ◽  
Vol 45 (10) ◽  
pp. 1307-1330 ◽  
Author(s):  
Vladimir Šor ◽  
Satish Narayana Srirama ◽  
Nikita Salnikov-Tarnovski
Keyword(s):  
Leak Detection ◽  
Memory Leak

scholarly journals Statistical arrival models to estimate missed passage counts at fish weirs

2016 ◽  
Vol 73 (8) ◽  
pp. 1251-1260 ◽  
Author(s):  
Suresh Andrew Sethi ◽  
Catherine Bradley
Keyword(s):  
Missing Data ◽  
Case Studies ◽  
Statistical Approach ◽  
Pacific Salmon ◽  
Linear Interpolation ◽  
Fish Population ◽  
Data Simulation ◽  
Yukon River ◽  
Curve Model ◽  
Selection Of

Missed counts are commonplace when enumerating fish passing a weir. Typically “connect-the-dots” linear interpolation is used to impute missed passage; however, this method fails to characterize uncertainty about estimates and cannot be implemented when the tails of a run are missed. Here, we present a statistical approach to imputing missing passage at weirs that addresses these shortcomings, consisting of a parametric run curve model to describe the smoothed arrival dynamics of a fish population and a process variation model to describe the likelihood of observed data. Statistical arrival models are fit in a Bayesian framework and tested with a suite of missing data simulation trials and against a selection of Pacific salmon (Oncorhynchus spp.) case studies from the Yukon River drainage, Alaska, USA. When compared against linear interpolation, statistical arrival models produced equivalent or better expected accuracy and a narrower range of bias outcomes. Statistical arrival models also successfully imputed missing passage counts for scenarios where the tails of a run were missed.

Two-phase online memory leak detection

2012 ◽  
Author(s):  
Jui-Shan Liang ◽  
Hung-Wei Kao ◽  
Han-Ching Tsao ◽  
Shao-Chen Chang ◽  
Meng-Hsun Tsai ◽  
...  
Keyword(s):  
Leak Detection ◽  
Two Phase ◽  
Memory Leak

scholarly journals An Automated Approach of Detection of Memory Leaks for Remote Server Controllers

2020 ◽  
pp. 477-494
Author(s):  
Bhavana D ◽  
Veena M B ◽  
Santosh Kumar Sahu
Keyword(s):  
Leak Detection ◽  
Effective Technique ◽  
Memory Leak ◽  
Dynamic Instrumentation ◽  
Remote Server ◽  
Time Threshold ◽  
Detection Approach ◽  
Staged Approach ◽  
Development Phases ◽  
Working Set

Memory leaks are a major concern to the long running applications like servers which make the working set to grow with the program. This eventually leads to system crashing. This paper discusses a staged approach to detect leaks in firmware of remote server controller. Remote server controller monitors the server remotely with many processes running in the background. Any memory leak in the long running applications pose a threat to the performance of the system. The approach adopted here filters the processes running in the system with leaks based on time threshold in the first stage. These processes with leaks are passed to the next stage where precise memory leak detection is done using the open source dynamic instrumentation tool Valgrind. The system leverages an automated leak detection approach that invokes the leak detection process on encountering any severity in the system and generates a consolidated leak report. The proposed approach has less impact on the performance of the system and is faster compared to many available systems as there is no need to modify or re-compile the program. In addition, the automated approach offers an effective technique for detecting possible leakages in early software development phases.

Sign in / Sign up

Export Citation Format

Share Document