Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 1414 for “"workload"”.
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Kubernetes workload identity federation
… addresses the complexity of securely managing workload identities across single-cloud, multi-cloud, and multi-cluster Kubernetes environments. Grounded in a thorough review of pertinent security standards and regulations—such as GDPR, ISO/IEC 27001, ISO/IEC 27002, and NIST’s Secure Software …
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Workload-aware Page Management
… subsystem rigid to the ever-changing system workload. With various system workloads, static memory thresholds sometimes lead to wasted memory, other times lead to a shortage of memory, harming the performance of user applications. This thesis introduces a dynamic thresholding method to …
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Student-Athlete: A Study of Student-Athlete Workload Compared with Traditional Student Workload
… study was to collect and analyze data on the workload of students and student-athletes to determine if there is a significant difference in the workloads of student-athletes compared with non-athletes, including undergraduate and graduate students. It was hypothesized that student-athletes …
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Workload-aware Efficient Storage Systems
… 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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Workload Management for Data-Intensive Services
… optimize new content. Each tier has different workloads and requirements that result in a diverse set of systems being used in modern data-intensive web services.</p><p>Servers are provisioned dynamically in the display tier to ensure that interactive client requests are served as per the …
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Workload fluctuation in management consulting firms.
Massachusetts Institute of Technology. Dept. of Industrial Management. Thesis. 1965. B.S.
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Autonomic Workload Management for Database Management Systems
… database server environments, multiple types of workloads, such as on-line transaction processing, business intelligence and administrative utilities, can be present in a system simultaneously. Workloads may have different levels of business importance and distinct performance objectives. When …
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Operator Strategies Under Varying Conditions of Workload
… which allowed operators to predict changes in workload. This battery was validated for its sensitivity to strategic behavior and baseline measures for each individual task were collected.</p> <p>Twenty-four undergraduate and graduate students then performed the battery for four 64-minute …
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Workload Transitions and Stress: Changes Over Time
<p>Workload transitions are situations where operators are suddenly confronted with levels of workload substantially different from previously established levels. Workload transitions may affect the operators' state of stress and coping behaviors but previous research has not conclusively …
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Assessment of Mental Workload by EEG+fNIRS
… focused on quantitative assessment of mental workload (MWL) in order to enhance the performance, safety, and productivity in working environments. MWL monitoring systems have been used broadly in industry, military, and academia. Moreover, they can be very useful in healthcare as well. For …
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The Workload Demands of Mixed Martial Arts
… Catapult Minimax x3 in measuring the external workload of isolated mixed martial arts movements and then uses this technology alongside video based time motion analysis and capillary blood sampling to determine the workload demands of MMA sparring bouts on the participants.
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Automated Discovery of Big Data Workload Types
Big data workload characterization is an inevitable part of big data workload prediction and auto-tuning big data applications. Due to many different ways of applying big data frameworks and applications, there are various categories that these workloads can belong. Clustering techniques are …
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A web browsing workload model for simulation
… packet switched networks depends on accurate web workload models as input for network models. We derived a workload model for traffic generated by an individual browsing the web. We derived the workload model by studying packet traces of web traffic generated by individuals browsing the web on a …
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A faculty workload information and control system
… algorithm developed is designed to measure the workload of each university faculty member and to present the results, in special form, to three levels of university administration. Eleven factors that make up the workload of a faculty member are used in a factor weighting measurement system. …
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Towards Workload-aware Efficient Machine Learning Systems
… systems that efficiently support large-scale ML workloads. As models grow in size and complexity, existing systems struggle to adapt, limiting both performance and flexibility. Additionally, ML techniques can enhance traditional computing tasks, but current systems lack the adaptability to …
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Dynamic Workload Division in GPU-CPU Heterogeneous Systems
… DVFS to its best optimizing point. I implement a workload division algorithm using Tesla CUDA GPUs and AMD CPUs to balance the time difference caused by the workload. The real physical testbed results show the new workload division algorithm can provide at least 5X accuracy than previous algorithm …
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