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SPARC: Statistical Performance Analysis with Relevance Conclusions

Justin C. Tullos, Scott R Graham, Jeremy D. Jordan, Pranav Patel
2021 IEEE Open Journal of the Computer Society  
To address this problem, we propose a new framework, SPARC, that pioneers a synthesis of difference and equivalence hypothesis testing to provide relevant conclusions.  ...  The performance of one computer relative to another is traditionally characterized through benchmarking, a practice occasionally deficient in statistical rigor.  ...  This document has been approved for public release; distribution unlimited, case #88ABW-2020-3839.  ... 
doi:10.1109/ojcs.2021.3060658 fatcat:c7a3ueq3t5c3nnrxsuqdp4iulm

Automated Modeling of Real-Time Anomaly Detection using Non-Parametric Statistical technique for Data Streams in Cloud Environments

Smrithy G S, Ramadoss Balakrishnan
2019 Journal of Communications Software and Systems  
Terrabytes of performance data generated in cloud data centers is a well accepted example of such data stream in real time.  ...  In this paper, we propose an online anomaly detection framework using non-parametric statistical technique in cloud data center.  ...  This system uses a non-parametric statistical test, in particular, chi-square two sample test for comparing two data samples. Here we are capturing data stream as a time window at specific intervals.  ... 
doi:10.24138/jcomss.v15i3.717 fatcat:nyqlgx3yzbapzkilud4za5buwy

A Reliability Assessment Paradigm for Automated Video Tracking Systems

Chung-Hao Chen, Yi Yao, Andreas Koschan, Mongi Abidi
2010 2010 20th International Conference on Pattern Recognition  
The benefit of our proposed framework is that we can provide a unified and statistical index to evaluate the performance of automated video tracking system for a task to be performed.  ...  In other words, these methods attempt to design a robustness margin or factor for the system.  ...  In doing so, we perform a statistical test in order to accept or reject the hypothesis that the observed failure times come from a specified distribution.  ... 
doi:10.1109/icpr.2010.125 dblp:conf/icpr/ChenYKA10 fatcat:sukxahleqvfcbpvrgi545k2sja

Distribution-Based Similarity Measures Applied to Laboratory Results Matching [chapter]

Martin Courtois, Alexandre Filiot, Gregoire Ficheur
2021 Studies in Health Technology and Informatics  
Using this open-source framework with a top-k suggestions system could make the expert validation of terminologies alignment easier.  ...  In this work, our objective is to design and assess a structured framework to perform distribution matching on concepts described by continuous variables.  ...  In this work, we design and assess a structured, reproducible framework to perform distribution matching in a real-world setting.  ... 
doi:10.3233/shti210823 pmid:34795089 fatcat:kxg5ax4dejdjhdqqzmv6l3zgxa

Detecting performance anti-patterns for applications developed using object-relational mapping

Tse-Hsun Chen, Weiyi Shang, Zhen Ming Jiang, Ahmed E. Hassan, Mohamed Nasser, Parminder Flora
2014 Proceedings of the 36th International Conference on Software Engineering - ICSE 2014  
Furthermore, as there could be hundreds or even thousands of instances of anti-patterns, our framework provides support to prioritize performance bug fixes based on a statistically rigorous performance  ...  Object-Relational Mapping (ORM) provides developers a conceptual abstraction for mapping the application code to the underlying databases.  ...  Acknowledgements We are grateful to BlackBerry for providing data that made this study possible.  ... 
doi:10.1145/2568225.2568259 dblp:conf/icse/ChenSJHNF14 fatcat:hsgw24j6fnefvgjmf3n3xpa7iq

An experimental distributed framework for distributed Simultaneous Localization and Mapping

Ruwan Gamage, Mihran Tuceryan
2016 2016 IEEE International Conference on Electro Information Technology (EIT)  
Furthermore, we describe a way to measure communication statistics of the distributed SLAM system.  ...  The distributed SLAM research would benefit if there is a framework where the complexities of network communication is already handled.  ...  Furthermore, an existing SLAM implementation for ROS, LSD-SLAM [4] , is used to test our framework. A. Robot Operating System A node in ROS is responsible of performing computations.  ... 
doi:10.1109/eit.2016.7535318 dblp:conf/eit/GamageT16 fatcat:boquomjf5nftvmhmq45pi7fcbu

Automated scalability testing of software as a service

Paulo Moura, Fabio Kon
2013 2013 8th International Workshop on Automation of Software Test (AST)  
In this paper, we introduce a flexible and extensible framework for automated scalability testing of software offered as a service and propose to evaluate the scalability using hypothesis tests.  ...  However, most of the times, these activities are still performed in a predominantly ad hoc fashion.  ...  In the remainder of this paper, we discuss other frameworks for automatic testing of distributed systems in Section II; introduce our framework in Section III and explain the facilities it provides for  ... 
doi:10.1109/iwast.2013.6595784 dblp:conf/icse/MouraK13 fatcat:5fapss6x7jbjzoc2a3yx3osvlu

The ATLAS DDM Tracer monitoring framework

Dongsong Zang, Vincent Garonne, Martin Barisits, Mario Lassnig, Graeme Andrew Stewart, Angelos Molfetas, Thomas Beermann
2012 Journal of Physics, Conference Series  
The advantages of key value store technology are that they are distributed and have high scalability; also their write performances are usually much better than RDBMS, all of which are very useful for  ...  Indexes and distributed counters have been also tested to improve query performance and provided almost real time results.  ...  Tests show that this framework has high performance and scalability. Several examples are showed to illustrate the usefulness of this framework.  ... 
doi:10.1088/1742-6596/396/3/032119 fatcat:keook37hpvfqdke3vzq27jgv54

Scalar: A Distributed Scalability Analysis Framework [chapter]

Thomas Heyman, Davy Preuveneers, Wouter Joosen
2014 Lecture Notes in Computer Science  
Analyzing the scalability and quality of service of large scale distributed systems, such as cloud based services, requires a systematic benchmarking framework that is at least as scalable to sufficiently  ...  stress the system under test.  ...  We have presented Scalar, a distributed platform for scalability analysis of large distributed systems.  ... 
doi:10.1007/978-3-319-10696-0_19 fatcat:haamatxjknctlceayqeqx6fa3e

Competitive / Collaborative Statistical Learning Framework for Forecasting Intraday Stock Market Prices: A Case Study

Smaranda BELCIUG, Adrian SĂNDIȚĂ, Hariton COSTIN, Silviu-Ioan BEJINARIU, Pericle Gabriel MATEI
2021 Studies in Informatics and Control  
In the collaborative stage of the statistical learning framework one uses a weighted voting system that outputs the final intraday stock price.  ...  In order to illustrate the advantages of this intelligent decision system this work provides a concrete example concerning the price forecast for the next intraday transaction for Transilvania Bank (TLV  ...  Statistical Assessment In order to perform other comparison tests, it is necessary to verify if the sample data has a normal distribution.  ... 
doi:10.24846/v30i2y202104 fatcat:u7owo3bmffbfvjpwj5zhc2q5pa

Statistical Mechanics of Neocortical Interactions: Testing Theories with Multiple Imaging Data

Lester Ingber
2008 NeuroQuantology  
Statistical mechanics of neocortical interactions (SMNI) is one theoretical description that has been tested on short-term memory and electroencephalographic data, and is proposed as a framework to test  ...  Copula analysis of m ultivariate stochastic systems, previously developed for financial markets, is an important approach to developing a "portfolio of physiological indicators" to create cost/objective  ...  The copula-transformed multivariate distribution can be used to develop a cost function to fit theoretical models to experimental data, thereby establishing a framework for developing measures of performance  ... 
doi:10.14704/nq.2008.6.2.164 fatcat:yxnr3ihnvnhy5bujog65ldk6om

A Framework for Experimental Validation and Performance Evaluation in Fault Tolerant Distributed System

Hein Meling
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
In this paper, a framework for experimental validation and performance evaluation of fault management in a fault tolerant distributed system is presented.  ...  The framework provides a facility to execute experiments in a configured target system. It is based on injecting faults or other events needed to test the fault handling capability of the system.  ...  This paper presents a framework for experimental validation and performance evaluation of fault management in a fault tolerant distributed system.  ... 
doi:10.1109/ipdps.2007.370600 dblp:conf/ipps/Meling07 fatcat:fcyb7vucffavfh75xhc534okmm

A Location Scale Based CFAR Detection Framework for FOPEN SAR Images

Marco Liguori, Alessio Izzo, Carmine Clemente, Carmela Galdi, Maurizio Di Bisceglie, John Soraghan
2015 2015 Sensor Signal Processing for Defence (SSPD)  
2015) A location scale based CFAR detection framework for FOPEN SAR images. In: 5th Conference of the Sensor Signal Processing for Defence, 2015-07-09 -2015-07-10, Scotland. , http://dx.  ...  Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.  ...  For each reference window, it is performed a KS test of the area under test to verify the compatibility of data into a cell with a specific distribution.  ... 
doi:10.1109/sspd.2015.7288497 fatcat:lojkgmalrnbxxjcfxscvcxltce

A novel performance evaluation paradigm for automated video surveillance systems

Chung-Hao Chen, Yi Yao, Andreas Koschan, Mongi Abidi
2011 Open Computer Science  
In comparison with existing approaches where system performance is evaluated based on a given benchmarking sequence, the advantage of our proposed framework lies in that a unified and statistical index  ...  of a video tracking system.  ...  In doing so, we perform a statistical test in order to accept or reject the hypothesis that the observed failure times come from a specified distribution.  ... 
doi:10.2478/s13537-011-0030-0 fatcat:zlg3abmzb5hu7hz2lhbezng2si

Parallel and Distributed Framework for Standalone Monte Carlo Simulation using MapReduce

Byeong Soo Kim, Tag Gon Kim, Hae Sang Song
2015 Indian Journal of Science and Technology  
This paper deals with an efficient and robust parallel and distributed simulation framework for standalone Monte Carlo simulation based on a MapReduce computing framework.  ...  A case study of an air defense simulation on 16-node Hadoop cluster illustrates that the proposed framework is feasible and fully utilizes the merit of the parallel and distributed computing environment  ...  MapReduce Hadoop is a representative big data platform for reliable, scalable, large scale distributed computing 13 . Hadoop consists of MapReduce and Hadoop Distributed File System (HDFS) 14 .  ... 
doi:10.17485/ijst/2015/v8i25/80004 fatcat:5lnaynhrzncenbta5xmgi47ux4
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