scholarly journals Probability Analysis to Improve the Confidence in Profiling Accuracy

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yingying Wen ◽  
Guanjie Cheng ◽  
Bo Lin ◽  
Jianwei Yin
Keyword(s):  
Data Centers ◽  
Sampling Technique ◽  
Probability Analysis ◽  
Unbiased Estimation ◽  
Production Data ◽  
Time Interval ◽  
Performance Profiling ◽  
Expectation Value ◽  
Performance Counters ◽  
Hardware Performance Counters

Performance profiling for the system is necessary and has already been widely supported by hardware performance counters (HPC). HPC is based on the registers to count the number of events in a time interval and uses system interruption to read the number from registers to a recording file. The profiled result approximates the actual running states and is not accurate since the profiling technique uses sampling to capture the states. We do not know the actual running states before, which makes the validation on profiling results complex. Jianwei YinSome experiments-based analysis compared the running results of benchmarks running on different systems to improve the confidence of the profiling technique. But they have not explained why the sampling technique can represent the actual running states. We use the probability theory to prove that the expectation value of events profiled is an unbiased estimation of the actual states, and its variance is small enough. For knowing the actual running states, we design a simulation to generate the running states and get the profiled results. We refer to the applications running on production data centers to choose the parameters for our simulation settings. Comparing the actual running states and the profiled results shows they are similar, which proves our probability analysis is correct and improves our confidence in profiling accuracy.

Mapping properties of an asynchronous crop: the example of time interval between flowering and maturity of banana

2017 ◽  
Vol 8 (2) ◽  
pp. 481-486 ◽  
Author(s):  
J. Lamour ◽  
O. Naud ◽  
M. Lechaudel ◽  
B. Tisseyre
Keyword(s):  
Precision Agriculture ◽  
Development Stage ◽  
Production Data ◽  
Time Interval ◽  
Plant Responses ◽  
Spatial Structures ◽  
Kriging Method ◽  
New Methods ◽  
Operational Constraints ◽  
Banana Crops

Precision agriculture for banana crops has been little investigated so far. The main difficulty to implement precision agriculture methods lies in the asynchronicity of this crop: after a few cycles, each plant has its own development stage in the field. Indeed, maps of agronomical interest are difficult to produce from plant responses without implementing new methods. The present study explores the feasibility to derive a spatially relevant indicator from the date of flowering and the date of maturity (time to harvest). The time between these dates (TFM) may give insight in spatial distribution of vigor. The study was carried out using production data from 2015 acquired in a farm from Cameroon. Data from individual plants that flowered at different weeks were gathered so as to increase the density of TFM sampling. The temporal variability of TFM, which is induced by weather and operational constraints, was compensated by centering TFM data on their medians (TFMc). The mapping of TFMc was obtained using a classical kriging method. Spatial structures highlighted by TFMc either at the farm level or at the plot level, suggest that such maps could be used to support agronomic decisions.

Using Hardware Performance Counters to support infield GPU Testing

2021 ◽  
Author(s):  
Juan-David Guerrero-Balaguera ◽  
Josie E. Rodriguez Condia ◽  
Matteo Sonza Reorda
Keyword(s):  
Performance Counters ◽  
Hardware Performance Counters ◽  
Hardware Performance

scholarly journals CacheHawkeye: Detecting Cache Side Channel Attacks Based on Memory Events

2022 ◽  
Vol 14 (1) ◽  
pp. 24
Author(s):  
Hui Yan ◽  
Chaoyuan Cui
Keyword(s):  
Good Accuracy ◽  
Memory Access ◽  
Side Channel ◽  
Side Channel Attacks ◽  
Performance Counters ◽  
Secret Information ◽  
Hardware Performance Counters ◽  
Hardware Performance

Cache side channel attacks, as a type of cryptanalysis, seriously threaten the security of the cryptosystem. These attacks continuously monitor the memory addresses associated with the victim’s secret information, which cause frequent memory access on these addresses. This paper proposes CacheHawkeye, which uses the frequent memory access characteristic of the attacker to detect attacks. CacheHawkeye monitors memory events by CPU hardware performance counters. We proved the effectiveness of CacheHawkeye on Flush+Reload and Flush+Flush attacks. In addition, we evaluated the accuracy of CacheHawkeye under different system loads. Experiments demonstrate that CacheHawkeye not only has good accuracy but can also adapt to various system loads.

Hardware performance counters based runtime anomaly detection using SVM

2017 ◽  
Author(s):  
Muhamed Fauzi Bin Abbas ◽  
Sai Praveen Kadiyala ◽  
Alok Prakash ◽  
Thambipillai Srikanthan ◽  
Yan Lin Aung
Keyword(s):  
Anomaly Detection ◽  
Performance Counters ◽  
Hardware Performance Counters ◽  
Hardware Performance

THE CHANGES OF RENAL FUNCTION STATUS BASED ON PROTEINURIA AND GLOMERULUS FILTRATION RATE IN PATIENTS WITH HISTORY OF PREECLAMPSIA WITH SEVERE FEATURES

2021 ◽  
pp. 279-282
Author(s):  
Chairul Adilla Ardy ◽  
Muara Panusunan Lubis ◽  
Cut Adeya Adella ◽  
Hotma Partogi Pasaribu ◽  
Muhammad Rusda ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Renal Function ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Late Onset ◽  
Case Series ◽  
Sampling Technique ◽  
Time Interval ◽  
History Of ◽  
The Mean

Background: Preeclampsia with severe features is an endothelial disease that causes renal system disorders during pregnancy. Preeclampsia is an important cause of acute kidney injury and risk for chronic kidney disease. Methods: This study was a case series conducted at the Department of Obstetrics and Gynecology, H. Adam Malik General Hospital Medan, Indonesia starting from December 2019 until January 2020. Total sampling technique was employed obtaining 31 subjects with a history of preeclampsia with severe features for at least 3 months to 2 years postpartum, without a history of chronic disease, diabetes mellitus, and congenital kidney disorders. Proteinuria, serum creatinine, and GFR calculations were performed. Results: There were 31 patients who met the inclusion and exclusion criteria. At a time interval of 4 - ≤13 months postpartum, 2 levels of proteinuria +1 (0-2), serum creatinine 0.81 ± 0.21 mg/dl, and levels of GFR 109.57 ± 25.13 (ml/min/1.73 m ). Whereas at the time interval of >13 - 24 months postpartum, levels of proteinuria +1 (0-3), serum creatinine 0.85 ± 0.23 mg/dl, and GFR 2 levels of 104. 41 ± 28.45 (ml/min/1.73 m ). The mean of serum creatinine before delivery was 0.69 ± 0.15 mg/dl and after delivery was 0.83 ± 0.22 mg/dl. The mean of GFR postpartum at group of history of early onset preeclampsia was 103.07 ± 25.23 2 2 (ml/min/1.73 m ) and group of history of late onset preeclampsia was 113.40 ± 28.24 (ml/min/1.73 m ). Conclusion: There was a tendency for a decrease in renal function among women with a history of preeclampsia with severe features with ndings of persistent proteinuria from more than 3 to 24 months postpartum, an increase in mean of serum creatinine levels from before and after delivery and a decrease in GFR, but it was not signicant. This was related to the slow course of chronic kidney disease, so it had to be followed up periodically.

Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters

2020 ◽  
Vol 35 (2) ◽  
pp. 412-417
Author(s):  
Wen-Yan Chen ◽  
Ke-Jiang Ye ◽  
Cheng-Zhi Lu ◽  
Dong-Dai Zhou ◽  
Cheng-Zhong Xu
Keyword(s):  
Interference Analysis ◽  
Performance Counters ◽  
Hardware Performance Counters ◽  
Hardware Performance

Unbiased Estimation of Total Rural Loans Advanced and Incurred in an Indian State Along with Unbiased Estimation of Variance in Estimation

2017 ◽  
Vol 69 (1) ◽  
pp. 71-75
Author(s):  
Arijit Chaudhuri
Keyword(s):  
Sampling Technique ◽  
Unbiased Estimation ◽  
Approximately Unbiased ◽  
Rural Farmers ◽  
Statistical Institute ◽  
Indian State ◽  
Unbiased Estimates ◽  
Indian Statistical ◽  
Year 2000 ◽  
Estimation Of Variance

Around the year 2000, the problem of reconciling the estimate of loans advanced by the banks and the estimate of loans incurred by the rural farmers was studied in the Indian Statistical Institute. Some approximately unbiased estimates were examined along with approximately unbiased estimates of their approximate variances. Utilizing “Constrained Network” sampling technique exactly unbiased counterparts are presented as alternatives.

Sign in / Sign up

Export Citation Format

Share Document