A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Filters
SPARC: Statistical Performance Analysis with Relevance Conclusions
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
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
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]
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
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
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
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
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]
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
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
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
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
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
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
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
« Previous
Showing results 1 — 15 out of 959,535 results