Thematische Bibliographien / Workload

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Auswahl der wissenschaftlichen Literatur zum Thema „Workload“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Juli 2025

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Zeitschriftenartikel zum Thema "Workload"

Hu, Bing, and Nicholas Mason. "Large scale analytics for workload segmentation." Journal of Management and Engineering Integration 16, no. 1 (2023): 19–26. http://dx.doi.org/10.62704/10057/25984.

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As the complexity and size of workload landscapes continue to evolve, traditional tools that are useful for characterizing workloads have gradually become inadequate. Approaches such as scaling studies or isolated analyses of a single workload are gradually becoming insufficient to understand the broad state of the workload universe. To address this problem, we follow a machine learning methodology to leverage large numbers of workload experiments that already exist on Intel. We advanced a workload analysis platform that stores, manages, and facilitates the analysis of workload information usi

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Raza, Zahid, and Nupur Jangu. "Workload Classification." International Journal of Systems and Service-Oriented Engineering 12, no. 1 (2022): 1–14. http://dx.doi.org/10.4018/ijssoe.297135.

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Traditional cloud-only architecture faces the challenge of coexistence with the ever-increasing IoT devices and demands for the need of the hybrid cloud computing and fog/IoT architecture to realize better handling of workload/requests. Determining where the user-workload should be assigned depends on the workload itself, and thereby, the workload classification gains the pivotal role. This location and offloading decision to the right resource affects both users and the providers. This work describes various cloud-fog workloads and relates them to their suitable place of execution in such a h

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Malone, Shane, Mark Roe, Dominic A. Doran, Tim J. Gabbett, and Kieran D. Collins. "Protection Against Spikes in Workload With Aerobic Fitness and Playing Experience: The Role of the Acute:Chronic Workload Ratio on Injury Risk in Elite Gaelic Football." International Journal of Sports Physiology and Performance 12, no. 3 (2017): 393–401. http://dx.doi.org/10.1123/ijspp.2016-0090.

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Purpose:To examine the association between combined session rating of perceived exertion (RPE) workload measures and injury risk in elite Gaelic footballers.Methods:Thirty-seven elite Gaelic footballers (mean ± SD age 24.2 ± 2.9 y) from 1 elite squad were involved in a single-season study. Weekly workload (session RPE multiplied by duration) and all time-loss injuries (including subsequent-wk injuries) were recorded during the period. Rolling weekly sums and wk-to-wk changes in workload were measured, enabling the calculation of the acute:chronic workload ratio by dividing acute workload (ie,

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Simmons, Nadine C., and Suzanne S. Kuys. "Trial of an allied health workload allocation model." Australian Health Review 35, no. 2 (2011): 168. http://dx.doi.org/10.1071/ah09860.

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Allied health (AH) managers need to be able to quantify workloads to effectively manage the increasing demands on the health system. Workload allocation models provide a means of monitoring, evaluating and determining manageable workloads. This allows managers to ensure equitable distribution of duties and maximise the existing AH workforce output, which will lead to more efficient health service delivery and better patient outcomes. The purpose of this study was to develop and trial an AH workload allocation model incorporating the National Allied Health Casemix Committee Health Activity Clas

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Roy, Abhishek, Alekh Jindal, Priyanka Gomatam, et al. "SparkCruise." Proceedings of the VLDB Endowment 14, no. 12 (2021): 3122–34. http://dx.doi.org/10.14778/3476311.3476388.

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Today cloud companies offer fully managed Spark services. This has made it easy to onboard new customers but has also increased the volume of users and their workload sizes. However, both cloud providers and users lack the tools and time to optimize these massive workloads. To solve this problem, we designed SparkCruise that can help understand and optimize workload instances by adding a workload-driven feedback loop to the Spark query optimizer. In this paper, we present our approach to collecting and representing Spark query workloads and use it to improve the overall performance on the work

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Cawood, Fred, Halil Yilmaz, Cuthbert Musingwini, and Galina Reznichenko. "A perspective on university academic workload measurement." Acta Academica: Critical views on society, culture and politics 40, no. 2 (2008): 153–79. https://doi.org/10.38140/aa.v40i2.1177.

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Internationally, universities are increasingly seen as being part of the wider community, which has an impact on academic workload. This paper explains the importance of a model for investigating such academic workloads. Quantifying and reporting workloads are complex tasks. Despite this complexity, the model developed at the University of the Witwatersrand’s School of Mining Engineering gives some insight into the three main components of academic workload, namely lecturing, research and administrative services. Today there is a better understanding of the meaning of workload, the problems to

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Safari, Sri Daniati. "Relationship Between Nurse Workload and Quality of Service in Inpatient Rooms." Oshada 2, no. 2 (2025): 163–73. https://doi.org/10.62872/bt8q6f49.

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This research investigates the link between the workload of nurses and the quality of inpatient care provided. It seeks to explore how varying levels of nurse workload influence the overall standard of care in hospital wards. By utilizing a structured survey distributed to nurses, the study gathers data on workload intensity and its direct correlation with service quality metrics. Findings demonstrate a strong positive relationship between nurse workload and perceived care quality, indicating that when workloads are managed effectively, patient care quality improves. Conversely, the study reve

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Harris, Alastair, Tim J. Gabbett, Rachel King, Stephen P. Bird, and Peter Terry. "Influence of Acute and Chronic Load on Perceived Wellbeing, Neuromuscular Performance, and Immune Function in Male Professional Football Players." Sports 13, no. 6 (2025): 176. https://doi.org/10.3390/sports13060176.

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Objectives: The purpose of the present study was to investigate the relationship between acute and chronic loads, and the fatigue response within male elite professional football players. Design: 40-week longitudinal study across the 2021–2022 season in the English Championship. Methods: Twenty-three outfield football players had workload measured using global positioning system (Distance, High-Intensity Distance and Sprint Distance) and perceived exertion. Load-response was measured via a perceived wellbeing questionnaire, counter-movement jump (CMJ) and salivary immunoglobulin A. Results: Ge

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Misra, Joya, Alexandra Kuvaeva, Kerryann O’meara, Dawn Kiyoe Culpepper, and Audrey Jaeger. "Gendered and Racialized Perceptions of Faculty Workloads." Gender & Society 35, no. 3 (2021): 358–94. http://dx.doi.org/10.1177/08912432211001387.

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Faculty workload inequities have important consequences for faculty diversity and inclusion. On average, women faculty spend more time engaging in service, teaching, and mentoring, while men, on average, spend more time on research, with women of color facing particularly high workload burdens. We explore how faculty members perceive workload in their departments, identifying mechanisms that can help shape their perceptions of greater equity and fairness. White women perceive that their departments have less equitable workloads and are less committed to workload equity than white men. Women of

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Gabbett, Tim J., Billy Hulin, Peter Blanch, Paul Chapman, and David Bailey. "To Couple or not to Couple? For Acute:Chronic Workload Ratios and Injury Risk, Does it Really Matter?" International Journal of Sports Medicine 40, no. 09 (2019): 597–600. http://dx.doi.org/10.1055/a-0955-5589.

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AbstractWe examined the association between coupled and uncoupled acute:chronic workload ratios (ACWR) and injury risk in a cohort of 28 elite cricket fast bowlers (mean±SD age, 26±5 yr). Workloads were estimated using the session rating of perceived exertion (session-RPE). Coupled ACWRs were calculated using a 1-week acute workload and 4-week chronic workload (acute workload was included in the chronic workload calculation), whereas uncoupled ACWRs used the most recent 1-week acute workload and the prior 3-week chronic workload (acute workload was not included in the chronic workload calculat

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Dissertationen zum Thema "Workload"

Weilandt, Jacob. "Individual Workload's Relation to Team Workload : An investigation." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138584.

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There is an ongoing debate regarding the construct of team workload and a central point in that debate is team workload’s relation to individual workload. This study set out to investigate this relationship. To assess the participants workload a microworld called C3Fire was used to simulate a complex control situation in which teams had to cooperate to complete the task of fighting a forest fire. Twelve teams that consisted of four members in each team were recruited. In the microworld each member of the team took on one out of four separate roles and completed three different scenarios with v

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Davies, Ian Peter. "Cognitive workload measurement." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648450.

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Yeo, Jihwang. "WLAN workload characterization." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2825.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Dept. of Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Otoom, Mwaffaq Naif. "Capacity Metric for Chip Heterogeneous Multiprocessors." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26332.

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The primary contribution of this thesis is the development of a new performance metric, Capacity, which evaluates the performance of Chip Heterogeneous Multiprocessors (CHMs) that process multiple heterogeneous channels. Performance metrics are required in order to evaluate any system, including computer systems. A lack of appropriate metrics can lead to ambiguous or incorrect results, something discovered while developing the secondary contribution of this thesis, that of workload modes for CHMs â or Workload Specific Processors (WSPs). For many decades, computer architects and designers h

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Bowers, Drew. "Effects of Subjective Workload Measurement During a Workload Transition on Task Performance." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1405001490.

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Hajek, Wilfried. "Workload Adaptive Cruise Control." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-203175.

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This doctoral thesis focuses on the modification of ACC to include actual driver workload in the context of automatic headway change. ACC is a driver assistance system that automatically maintains a preliminary defined speed and permits a driver to perform manual headway changes. As drivers show worse (brake) reaction times under high workload situations, the system increases headway accordingly. Driver workload is estimated based on physiological data. Here, we investigate the possibilities of such a system, assuming that physiological sensors can be implemented in future vehicles. The thesis

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FUNKE, GREGORY J. "THE EFFECTS OF AUTOMATION AND WORKLOAD ON DRIVER PERFORMANCE, SUBJECTIVE WORKLOAD, AND MOOD." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1193000603.

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Sellers, James Michael. "Team Workload Questionnaire (TWLQ): Development and Assessment of a Subjective Measure of Team Workload." Thesis, University of Canterbury. Psychology, 2013. http://hdl.handle.net/10092/8971.

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The present research developed and assessed the Team Workload Questionnaire (TWLQ). Despite extensive workload studies, little research has been conducted on the workload experienced by teams. Team workload has largely been ignored by research with no validated theory constructed or dedicated team workload measures available to researchers and practitioners. The research was conducted in two studies with study 1 focusing on the development of the TWLQ with 216 members of sports team completing a team workload measure after games or practise. In study 2, 14 dyadic teams performed two sessions o

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Ghasempour, Mohsen. "Workload-adaptation in memory controllers." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/workloadadaptation-in-memory-controllers(9087e7a1-755b-4e2b-a97e-1bfcde7968b4).html.

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Advanced development in processor design, increasing the heterogeneity of computer system, by involving Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs) and custom accelerators, and increasing the number of cores and threads in such systems puts extra pressure on the main memory, demanding a higher performance. Current computing trends are putting ever more pressure on main memory. In modern computer systems, this is generally Dynamic Random Access Memory (DRAM) which consists of a multi-level access hierarchy (e.g. Rank, Bank, Row etc.). This heterogeneity of structure

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Cheng, Yue. "Workload-aware Efficient Storage Systems." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78677.

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The growing disparity in data storage and retrieval needs of modern applications is driving the proliferation of a wide variety of storage systems (e.g., key-value stores, cloud storage services, distributed filesystems, and flash cache, etc.). While extant storage systems are designed and tuned for a specific set of applications targeting a range of workload characteristics, they lack the flexibility in adapting to the ever-changing workload behaviors. Moreover, the complexities in implementing modern storage systems and adapting ever-changing storage requirements present unique opportunities

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Bücher zum Thema "Workload"

Großmann, Daniel, Christin Engel, Justus Junkermann, and Tobias Wolbring, eds. Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7.

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Washington (State). Dept. of Corrections., ed. Workload study 1998. The Department, 1999.

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Margaret, Beardsley, Parker Vivienne, and Secondary Heads Association, eds. Managing the workload. SHA, 1996.

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1953-, Hancock Peter A., and Meshkati Najmedin, eds. Human mental workload. North-Holland, 1988.

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J, Lysaght Robert, and U.S. Army Research Institute for the Behavioral and Social Sciences, eds. Operator workload: Comprehensive review and evaluation of operator workload methodologies. United States Army Research Institute for the Behavioral and Social Sciences, 1989.

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Dilley, John A. Web server workload characterization. Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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Letmanyi, Helen. Guide on workload forecasting. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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Sabharwal, Navin, and Subramani Kasiviswanathan. Workload Automation Using HWA. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-8885-6.

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Board, Local Government Management, ed. Occupational therapy workload survey. Local Government Management Board, 1997.

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1953-, Hancock Peter A., and Desmond Paula A, eds. Stress, workload, and fatigue. Lawrence Erlbaum Associates, 2001.

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Buchteile zum Thema "Workload"

Campbell, Tavis S., Jillian A. Johnson, Kristin A. Zernicke, et al. "Workload." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_934.

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Wickens, Chris, and Pamela S. Tsang. "Workload." In APA handbook of human systems integration. American Psychological Association, 2015. http://dx.doi.org/10.1037/14528-018.

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Zhijun, Zhang. "Workload." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_1284-1.

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Jacobs, Karen, Miranda Hellman, Jacqueline Markowitz, and Ellen Wuest. "Workload." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_934.

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Zhijun, Zhang. "Workload." In The ECPH Encyclopedia of Psychology. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7874-4_1284.

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Großmann, Daniel, Christin Engel, Justus Junkermann, and Tobias Wolbring. "Konzeption und Messung studentischen Workloads. Ein Überblick zu Entstehung, Stand und Herausforderungen." In Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7_1.

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Schulmeister, Rolf. "Chancen und Grenzen einer Anwesenheitspflicht in Lehrveranstaltungen. Ein Studienreview zu Anwesenheit und Lernerfolg." In Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7_10.

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Nennstiel, Richard, and Rolf Becker. "Hängen die ECTS-Punkte von Lehrveranstaltungen mit dem studentischen Workload zusammen?" In Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7_11.

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Kuhlee, Dina. "Brauchen wir eine Workload-Diskussion? Zur Rolle formaler Studienworkloads für das Lern- und Studierhandeln. Eine empirische Studie bei Lehramtsstudierenden des Master of Education." In Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7_12.

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Wittenberg, Reinhard. "Studentischer Workload im Bachelorstudium am Fachbereich Wirtschafts- und Sozialwissenschaften der Friedrich-Alexander-Universität Erlangen-Nürnberg von 2007 bis 2018." In Studentischer Workload. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28931-7_13.

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Konferenzberichte zum Thema "Workload"

Yan, Xufei, and Renliang Chen. "Evaluation of Pilot Workload for Helicopter Optimal Autorotation Landing Procedure in One Engine Failure." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12826.

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This paper intends to evaluate the pilot workload of helicopter optimal autorotation landing procedure in the event of one engine failure to provide a reference for the pilot conducting the actual autorotation landing maneuver. The UH-60A helicopter is taken as the sample for demonstration. The autorotation landing procedure is formulated into a nonlinear optimal control problem (NOCP) based on an augmented six-degree-of-freedom rigid-body flight dynamics model, solved by collocation and numerical optimization method. The optimal landing trajectory and controls are compared with those from the

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Khanna, Rahul, Mrittika Ganguli, Ananth Narayan, Abhiram R., and Piyush Gupta. "Autonomic Characterization of Workloads Using Workload Fingerprinting." In 2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM). IEEE, 2014. http://dx.doi.org/10.1109/ccem.2014.7015482.

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Matsuura, Anne. "Developing Quantum Workloads for Workload-Driven Co-design." In ISPD '23: International Symposium on Physical Design. ACM, 2023. http://dx.doi.org/10.1145/3569052.3578906.

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Kim, Keunsoo, Changmin Lee, Jung Ho Jung, and Won Woo Ro. "Workload synthesis: Generating benchmark workloads from statistical execution profile." In 2014 IEEE International Symposium on Workload Characterization (IISWC). IEEE, 2014. http://dx.doi.org/10.1109/iiswc.2014.6983051.

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Helian, Bobo, Xiaofei An, Yong Zhou, Zheng Chen, and Marcus Geimer. "LSTM-Based Workload Recognition for Hydraulic Actuators: A Case Study on Excavator Digging Process." In BATH/ASME 2024 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/fpmc2024-140092.

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Abstract Hydraulic mobile machines in the construction industry, such as excavators, rely on hydraulic actuators to handle various workloads. A reliable and accurate classification of these workloads is essential for improving the safety and automation level of machine operations. Processing of hydraulic actuator operating data via a deep-learning-based classifier has great potential for time-varying workload recognition. In particular, Long Short-Term Memory (LSTM) networks demonstrate strengths in analyzing time-sequential information. In this study, a customized LSTM-based classifier is dev

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Drobinsky, Sergey, Patrick Korte, Rastislav Pjontek, Armin Janß, Verena Nitsch, and Klaus Radermacher. "Development of a Prospective Method for Rating Surgical Task Workloads." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004382.

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Surgical adverse events can have serious consequences for patients ranging from temporary injuries to death. Thereby, up to 40% of surgical adverse events are preventable and over 60% of causal factors were found to be linked to human factors. To improve surgical performance and safety, computer-assisted surgical (CAS) systems can be used to reduce excessive workloads. This paper presents a method for prospective assessment of surgical task workloads. S-TAWL, developed with the support of a senior neurosurgeon and a usability engineer, consists of three parts: surgical task decomposition, work

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Genkin, Mikhail, and Frank Dehne. "Autonomic Workload Change Classification and Prediction for Big Data Workloads." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006149.

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Shishira, S. R., A. Kandasamy, and K. Chandrasekaran. "Workload Characterization." In the 7th International Conference. ACM Press, 2017. http://dx.doi.org/10.1145/3154979.3155003.

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Truschzinski, Martina. "Modeling Workload." In HRI '17: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2017. http://dx.doi.org/10.1145/3029798.3038408.

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Holze, Marc, Ali Haschimi, and Norbert Ritter. "Towards workload-aware self-management: Predicting significant workload shifts." In 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010. http://dx.doi.org/10.1109/icdew.2010.5452738.

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Berichte der Organisationen zum Thema "Workload"

Mitchell, Diane K. Mental Workload and ARL Workload Modeling Tools. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada377300.

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Parasuraman, Raja, and Ericka Rovira. Workload Modeling and Workload Management: Recent Theoretical Developments. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada432181.

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Schwarz, Kurt F., IV Brooks, and Thomas L. Forecasting Contracting Workload. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211935.

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Austin, Brian, Tina Butler, Richard Gerber, et al. Hopper Workload Analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1163230.

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Schvaneveldt, Roger W., Gary B. Reid, Rebecca L. Gomez, and Sean Rice. Modeling Mental Workload. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada387269.

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Hook, Audrey A., and R. D. Lehman. Ada Validation Workload. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada224027.

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Lysaght, Robert J., Susan G. Hill, A. O. Dick, Brian D. Plamondon, and Paul M. Linton. Operator Workload: Comprehensive Review and Evaluation of Operator Workload Methodologies. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada212879.

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Letmanyi, Helen. Guide on workload forecasting. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.sp.500-123.

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Bratton, Ryan, and Kristen Kern. Surveillance Workload Divinator (SWORD). Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2448438.

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Rench, Michael E. Auditory Workload Assessment, Volume 1. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada391826.

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