Academic literature on the topic 'Workload modeling and performance evaluation'
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Journal articles on the topic "Workload modeling and performance evaluation":
Khan, Subayal, Jukka Saastamoinen, Jyrki Huusko, Juha-Pekka Soininen, and Jari Nurmi. "Application Workload Modelling via Run-Time Performance Statistics." International Journal of Embedded and Real-Time Communication Systems 4, no. 2 (April 2013): 1–35. http://dx.doi.org/10.4018/jertcs.2013040101.
Teo, Grace, Gerald Matthews, Lauren Reinerman-Jones, and Daniel Barber. "Adaptive aiding with an individualized workload model based on psychophysiological measures." Human-Intelligent Systems Integration 2, no. 1-4 (November 28, 2019): 1–15. http://dx.doi.org/10.1007/s42454-019-00005-8.
Jeong, Heejin, and Yili Liu. "Development and Evaluation of a Computational Human Performance Model of In-vehicle Manual and Speech Interactions." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1642. http://dx.doi.org/10.1177/1541931218621372.
HAVERKORT, BOUDEWIJN R. "PERFORMABILITY EVALUATION OF FAULT-TOLERANT COMPUTER SYSTEMS USING DYQNTOOL+." International Journal of Reliability, Quality and Safety Engineering 02, no. 04 (December 1995): 383–404. http://dx.doi.org/10.1142/s0218539395000277.
Xu, Rongbing, and Shi Cao. "Modeling Pilot Flight Performance in a Cognitive Architecture: Model Demonstration." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 1254–58. http://dx.doi.org/10.1177/1071181321651008.
Yadav, Rajeev Ranjan, Gleidson A. S. Campos, Erica Teixeira Gomes Sousa, and Fernando Aires Lins. "A Strategy for Performance Evaluation and Modeling of Cloud Computing Services." Revista de Informática Teórica e Aplicada 26, no. 1 (April 14, 2019): 78. http://dx.doi.org/10.22456/2175-2745.87511.
Bracken, Bethany, Noa Palmon, Lee Kellogg, Seth Elkin-Frankston, and Michael Farry. "A Cross-Domain Approach to Designing an Unobtrusive System to Assess Human State and Predict Upcoming Performance Deficits." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 707–11. http://dx.doi.org/10.1177/1541931213601162.
Roth, Tamara, Franz-Josef Scharfenberg, Julia Mierdel, and Franz X. Bogner. "Self-evaluative Scientific Modeling in an Outreach Gene Technology Laboratory." Journal of Science Education and Technology 29, no. 6 (August 12, 2020): 725–39. http://dx.doi.org/10.1007/s10956-020-09848-2.
Mechalikh, Charafeddine, Hajer Taktak, and Faouzi Moussa. "PureEdgeSim: A simulation framework for performance evaluation of cloud, edge and mist computing environments." Computer Science and Information Systems, no. 00 (2020): 42. http://dx.doi.org/10.2298/csis200301042m.
Srinivas, Sharan, Roland Paul Nazareth, and Md Shoriat Ullah. "Modeling and analysis of business process reengineering strategies for improving emergency department efficiency." SIMULATION 97, no. 1 (October 8, 2020): 3–18. http://dx.doi.org/10.1177/0037549720957722.
Dissertations / Theses on the topic "Workload modeling and performance evaluation":
Ali-Eldin, Hassan Ahmed. "Workload characterization, controller design and performance evaluation for cloud capacity autoscaling." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-108398.
Rusnock, Christina. "Simulation-Based Cognitive Workload Modeling and Evaluation of Adaptive Automation Invoking and Revoking Strategies." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5857.
Ph.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering
Kreku, J. (Jari). "Early-phase performance evaluation of computer systems using workload models and SystemC." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514299902.
Tiivistelmä Sulautettujen tietokonejärjestelmien suorituskyvyn arviointi muuttuu yhä haastavammaksi järjestelmien kasvavan kompleksisuuden vuoksi. Järjestelmissä on suuri määrä sovelluksia, jotka tarjoavat käyttäjälle palveluita liittyen esimerkiksi telekommunikaatioon, äänen ja videokuvan toistoon, internet-selaukseen ja navigaatioon. Tästä johtuen suoritusalustoilta edellytetään yhä enemmän joustavuutta, skaalautuvuutta ja modulaarisuutta. Suoritusarkkitehtuurit kehittyvät nykyisistä System-on-Chip (SoC) -ratkaisuista Network-on-Chip (NoC) -rinnakkaistietokoneiksi, jotka koostuvat heterogeenisistä alijärjestelmistä. Sovellusten ja suoritusalustan muodostaman järjestelmän suorituskyvyn arviointiin tarvitaan uusia menetelmiä ja työkaluja, joilla kompleksisuutta voidaan hallita. Tässä väitöskirjassa esitettävä ABSOLUT-simulointimenetelmä pienentää suorituskyvyn arvioinnin kompleksisuutta abstrahoimalla sovelluksen toiminnallisuutta työkuormamalleilla, jotka koostuvat kuormaprimitiiveistä suorittimen käskyjen sijaan. Työkuormamalleja voidaan luoda sovellusten spesifikaatioista, mittaustuloksista, suoritusjäljistä tai sovellusten lähdekoodeista. Suoritusalustoista ABSOLUT-menetelmä käyttää yksinkertaisia kapasiteettimalleja toiminnallisten mallien sijaan: suoritinarkkitehtuurit mallinnetaan korkealla tasolla ja tiedonsiirto ja tiedon varastointi mallinnetaan vain suorituskyvyn näkökulmasta. Menetelmä mahdollistaa aikaisen suorituskyvyn arvioinnin, koska malleja voidaan luoda ja simuloida jo ennen valmiin sovelluksen tai suoritusalustan olemassaoloa. ABSOLUT-menetelmää on käytetty useissa erilaisissa kokeiluissa, jotka sisälsivät esimerkiksi matkapuhelimen käyttöä, äänen ja videokuvan toistoa ja tallennusta, 3D-pelin pelaamista ja digitaalista tiedonsiirtoa. Esimerkeissä käytetiin tyypillisiä suoritusalustoja sekä kotitietokoneiden että sulautettujen järjestelmien maailmasta. Lisäksi osa esimerkeistä pohjautui tuleviin tai keksittyihin suoritusalustoihin. Osa simuloinneista on varmennettu vertaamalla simulointituloksia todellisista järjestelmistä saatuihin mittaustuloksiin. Niiden välillä huomattiin keskimäärin 12 prosentin poikkeama, mikä ylittää aikaisen vaiheen suorituskyvyn simulointimenetelmiltä vaadittavan tarkkuuden
Georgiou, Yiannis. "Contributions for resource and job management in high performance computing." Grenoble, 2010. http://www.theses.fr/2010GRENM079.
High Performance Computing is characterized by the latest technological evolutions in computing architectures and by the increasing needs of applications for computing power. A particular middleware called Resource and Job Management System (RJMS), is responsible for delivering computing power to applications. The RJMS plays an important role in HPC since it has a strategic place in the whole software stack because it stands between the above two layers. However, the latest evolutions in hardware and applications layers have provided new levels of complexities to this middleware. Issues like scalability, management of topological constraints, energy efficiency and fault tolerance have to be particularly considered, among others, in order to provide a better system exploitation from both the system and user point of view. This dissertation provides a state of the art upon the fundamental concepts and research issues of Resources and Jobs Management Systems. It provides a multi-level comparison (concepts, functionalities, performance) of some Resource and Jobs Management Systems in High Performance Computing. An important metric to evaluate the work of a RJMS on a platform is the observed system utilization. However, studies and logs of production platforms show that HPC systems in general suffer of significant un-utilization rates. Our study deals with these clusters' un-utilization periods by proposing methods to aggregate otherwise un-utilized resources for the benefit of the system or the application. More particularly this thesis explores RJMS level mechanisms: 1) for increasing the jobs valuable computation rates in the high volatile environments of a lightweight grid context, 2) for improving system utilization with malleability techniques and 3) providing energy efficient system management through the exploitation of idle computing machines. The experimentation and evaluation in this type of contexts provide important complexities due to the inter-dependency of multiple parameters that have to be taken into control. In this thesis we have developed a methodology based upon real-scale controlled experimentation with submission of synthetic or real workload traces
Middlebrooks, Sam E. "The COMPASS Paradigm For The Systematic Evaluation Of U.S. Army Command And Control Systems Using Neural Network And Discrete Event Computer Simulation." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/26605.
Ph. D.
Peña, Ortiz Raúl. "Accurate workload design for web performance evaluation." Doctoral thesis, Editorial Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/21054.
Peña Ortiz, R. (2013). Accurate workload design for web performance evaluation [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/21054
Palancia
Wojciechowski, Josephine Quinn. "Validation of a Task Network Human Performance Model of Driving." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/31713.
Master of Science
Emeras, Joseph. "Workload Traces Analysis and Replay in Large Scale Distributed Systems." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM081/document.
High Performance Computing is preparing the era of the transition from Petascale to Exascale. Distributed computing systems are already facing new scalability problems due to the increasing number of computing resources to manage. It is now necessary to study in depth these systems and comprehend their behaviors, strengths and weaknesses to better build the next generation.The complexity of managing users applications on the resources conducted to the analysis of the workload the platform has to support, this to provide them an efficient service.The need for workload comprehension has lead to the collection of traces from production systems and to the proposal of a standard workload format. These contributions enabled the study of numerous of these traces. This also lead to the construction of several models, based on the statistical analysis of the different workloads from the collection.Until recently, existing workload traces did not enabled researchers to study the consumption of resources by the jobs in a temporal way. This is now changing with the need for characterization of jobs consumption patterns.In the first part of this thesis we propose a study of existing workload traces. Then we contribute with an observation of cluster workloads with the consideration of the jobs resource consumptions over time. This highlights specific and unattended patterns in the usage of resources from users.Finally, we propose an extension of the former standard workload format that enables to add such temporal consumptions without loosing the benefit of the existing works.Experimental approaches based on workload models have also served the goal of distributed systems evaluation. Existing models describe the average behavior of observed systems.However, although the study of average behaviors is essential for the understanding of distributed systems, the study of critical cases and particular scenarios is also necessary. This study would give a more complete view and understanding of the performance of the resources and jobs management. In the second part of this thesis we propose an experimental method for performance evaluation of distributed systems based on the replay of production workload trace extracts. These extracts, replaced in their original context, enable to experiment the change of configuration of the system in an online workload and observe the different configurations results. Our technical contribution in this experimental approach is twofold. We propose a first tool to construct the environment in which the experimentation will take place, then we propose a second set of tools that automatize the experiment setup and that replay the trace extract within its original context.Finally, these contributions conducted together, enable to gain a better knowledge of HPC platforms. As future works, the approach proposed in this thesis will serve as a basis to further study larger infrastructures
Lundin, Mikael. "Simulating the effects of mental workload on tactical and operational performance in tankcrew." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2693.
Battletank crew must perform many diverse tasks during a normal mission: Crewmembers have to navigate, communicate, control on-board systems, and engage with the enemy, to mention a few. As human processing capacity is limited, the crewmembers will find themselves in situations where task requirements, due to the number of tasks and task complexity, exceed their mental capacity. The stress that results from mental overload has documented quantitative and qualitative effects on performance; effects that could lead to mission failure.
This thesis describes a simulation of tankcrew during a mission where mental workload is a key factor to the outcome of mission performance. The thesis work has given rise to a number of results. First, conceptual models have been developed of the tank crewmembers. Mental workload is represented in these models as a behavior moderator, which can be manipulated to demonstrate and predict behavioral effects. Second, cognitive models of the tank crewmembers are implemented as Soar agents, which interact with tanks in a 3D simulated battlefield. The empirical data underlying these models was collected from experiments with tankcrew, and involved first hand observations and task analyses. Afterwards, the model’s behavior was verified against an a priori established behavioral pattern and successfully face validated with two subject matter experts.
Kwok, Alice S. L. "Modeling, simulation, and performance evaluation of telecommunication networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0009/MQ41729.pdf.
Books on the topic "Workload modeling and performance evaluation":
MacNair, Edward A. Elements of practical performance modeling. Englewood Cliffs, N.J: Prentice-Hall, 1985.
Dimpsey, Robert Tod. Performance evaluation and modeling techniques for parallel processors. Urbana, Ill: Center for Reliable and High-Performance Computing, Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1992.
International Conference on Modeling Techniques and Tools for Computer Performance Evaluation (4th 1988 Palma de Mallorca, Spain). Modeling techniques and tools for computer performance evaluation. New York: Plenum Press, 1989.
Cesarini, Francesca, and Silvio Salza, eds. Database Machine Performance: Modeling Methodologies and Evaluation Strategies. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17942-9.
Fiondella, Lance, and Antonio Puliafito, eds. Principles of Performance and Reliability Modeling and Evaluation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30599-8.
Puigjaner, Ramon, and Dominique Potier, eds. Modeling Techniques and Tools for Computer Performance Evaluation. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0533-0.
Turin, William. Digital transmission systems: Performance analysis and modeling. 2nd ed. New York: McGraw-Hill, 1999.
Yuan, Haiyue, Shujun Li, and Patrice Rusconi. Cognitive Modeling for Automated Human Performance Evaluation at Scale. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45704-4.
Kobayashi, Hisashi. System modeling and analysis: Foundations of system performance evaluation. Upper Saddle River, N.J: Pearson Prentice Hall, 2008.
Turin, William. Performance analysis and modeling of digital transmission systems. New York: Kluwer Academic/Plenum Publishers, 2004.
Book chapters on the topic "Workload modeling and performance evaluation":
Feitelson, Dror G. "Workload Modeling for Performance Evaluation." In Performance Evaluation of Complex Systems: Techniques and Tools, 114–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45798-4_6.
Salza, S., and M. Terranova. "Chapter 4 Database workload modeling." In Database Machine Performance: Modeling Methodologies and Evaluation Strategies, 50–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17942-9_14.
Kobsa, Alfred, and Josef Fink. "Performance Evaluation of User Modeling Servers under Real-World Workload Conditions." In User Modeling 2003, 143–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_20.
Kreku, Jari, Mika Hoppari, Tuomo Kestilä, Yang Qu, Juha-Pekka Soininen, and Kari Tiensyrjä. "Application Workload and SystemC Platform Modeling for Performance Evaluation." In Lecture Notes in Electrical Engineering, 131–47. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9714-0_9.
Zhang, Li, Zhen Liu, Anton Riabov, Monty Schulman, Cathy Xia, and Fan Zhang. "A Comprehensive Toolset for Workload Characterization, Performance Modeling, and Online Control." In Computer Performance Evaluation. Modelling Techniques and Tools, 63–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45232-4_5.
Braun, M., and G. Kotsis. "Interval based workload characterization for distributed systems." In Computer Performance Evaluation Modelling Techniques and Tools, 181–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0022206.
Oke, Adeniyi, and Rick Bunt. "Hierarchical Workload Characterization for a Busy Web Server." In Computer Performance Evaluation: Modelling Techniques and Tools, 309–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46029-2_23.
Smirni, Evgenia, and Daniel A. Reed. "Workload characterization of input/output intensive parallel applications." In Computer Performance Evaluation Modelling Techniques and Tools, 169–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0022205.
Delimitrou, Christina, Sriram Sankar, Badriddine Khessib, Kushagra Vaid, and Christos Kozyrakis. "Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads." In Topics in Performance Evaluation, Measurement and Characterization, 146–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32627-1_11.
Ruf, Christian, and Peter Stütz. "Model-Driven Payload Sensor Operation Assistance for a Transport Helicopter Crew in Manned–Unmanned Teaming Missions: Assistance Realization, Modelling Experimental Evaluation of Mental Workload." In Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness, 51–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58472-0_5.
Conference papers on the topic "Workload modeling and performance evaluation":
Barnes, Taylor, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun He, Thorsten Kurth, et al. "Evaluating and Optimizing the NERSC Workload on Knights Landing." In 2016 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS). IEEE, 2016. http://dx.doi.org/10.1109/pmbs.2016.010.
Volovich, Konstantin. "ESTIMATION OF THE WORKLOAD OF A HYBRID COMPUTING CLUSTER IN TASKS OF MODELING IN MATERIALS SCIENCE." In Mathematical modeling in materials science of electronic component. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1511.mmmsec-2020/30-33.
Somashekhar, Karoor, and B. Eswara Reddy. "Performance Evaluation of Multi-Tier Application by using the Comprehensive Workload Modelling in the Cloud." In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2021. http://dx.doi.org/10.1109/iccmc51019.2021.9418275.
Porter, Donald E., and Emmett Witchel. "Modeling transactional memory workload performance." In the 15th ACM SIGPLAN symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1693453.1693508.
Adams, Evans J. "Workload models for DBMS performance evaluation." In the 1985 ACM thirteenth annual conference. New York, New York, USA: ACM Press, 1985. http://dx.doi.org/10.1145/320599.320676.
Van Ertvelde, Luk, and Lieven Eeckhout. "Workload generation for microprocessor performance evaluation." In the third joint WOSP/SIPEW international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2188286.2188313.
Leiden, Kenneth, Jill Kamienski, and Parimal Kopardekar. "Human Performance Modeling to Predict Controller Workload." In AIAA 5th ATIO and16th Lighter-Than-Air Sys Tech. and Balloon Systems Conferences. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7378.
Lutteroth, Christof, and Gerald Weber. "Modeling a Realistic Workload for Performance Testing." In 2008 12th International IEEE Enterprise Distributed Object Computing Conference (EDOC). IEEE, 2008. http://dx.doi.org/10.1109/edoc.2008.40.
Karpenko, Dmytro, Roman Vitenberg, and Alexander L. Read. "ATLAS grid workload on NDGF resources: Analysis, modeling, and workload generation." In 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2012. http://dx.doi.org/10.1109/sc.2012.21.
Hebbar, Ranjan, and Aleksandar Milenković. "An Experimental Evaluation of Workload Driven DVFS." In ICPE '21: ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447545.3451192.
Reports on the topic "Workload modeling and performance evaluation":
Nechvatal, James. On the performance evaluation and analytic modeling of shared-memory computers. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.ir.88-3857.
Middlebrooks, Sam E., Beverly G. Knapp, B. Diane Barnette, Cheryl A. Bird, and Joyce M. Johnson. CoHOST (Computer Modeling of Human Operator System Tasks) Computer Simulation Models to Investigate Human Performance Task and Workload Conditions in a U.S. Army Heavy Maneuver Battalion Tactical Operations Center. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada368587.
Wallace, Sean, Scott Lux, Constandinos Mitsingas, Irene Andsager, and Tapan Patel. Performance testing and modeling of a transpired ventilation preheat solar wall : performance evaluation of facilities at Fort Drum, NY, and Kansas Air National Guard, Topeka, KS. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42000.
Barnard, J. C., and H. L. Wegley. A preliminary evaluation of the performance of wind tunnel and numerical modeling simulations of the wind flow over a wind farm. Office of Scientific and Technical Information (OSTI), January 1987. http://dx.doi.org/10.2172/6983532.
Barclay Jones. Modeling and Thermal Performance Evaluation of Porous Curd Layers in Sub-Cooled Boiling Region of PWRs and Effects of Sub-Cooled Nucleate Boiling on Anomalous Porous Crud Deposition on Fuel Pin Surfaces. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/841238.
Warrick, Arthur, Uri Shani, Dani Or, and Muluneh Yitayew. In situ Evaluation of Unsaturated Hydraulic Properties Using Subsurface Points. United States Department of Agriculture, October 1999. http://dx.doi.org/10.32747/1999.7570566.bard.