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70 results for “workload”
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Review ArticleOpen accessEvery word in the titleCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,554 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIncorporating Workload and Performance Levels into Work Situation Analysis of Employees with Application to a Taiwanese Hotel ChainTien-Hui Chen, Kun-Hsu Wu, Wei-Jen Lin et al.Problem statement: Appropriate Human Resource Management (HRM) can motivate employees, develop their capabilities and enhance their productivity. However, before selecting the HRM practices to adopt, the workload levels of employees should be considered, since they may influence the success of such efforts. Approach: This study measured the relative workload of individual employees and incorporates the performance level into the work … …American Journal of Applied Sciences, Vol. 7, Issue 5 · 31 May 2010 · 8,595 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFramework for Containers Orchestration to handle the Scientific Workloads using KubernetesManish Kumar Abhishek, D. Rajeswara Rao, K. SubrahmanyamThelightweight nature of Operating System virtualization give birth to thecontainers, and their high efficiency for application deployment prefers itsusage in Cloud computing. Containers encapsulate and bundle the requireddependencies for application development and deployment in libs packages as asingle entity. The nature of containers eases application migration within theHigh-Performance Computing environment to handle the scientific workloadssmoothly. Singularity containers are aimed to … …Journal of Computer Science, Vol. 18, Issue 9 · 19 Sep 2022 · 9,351 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLocation-Aware Energy-Efficient Workload Allocation in Geo Distributed Cloud EnvironmentSoha Rawas, Ahmed ZekriThe proliferation of cloud computing relied on the virtualization of the compute and storage resources and provisioning them dynamically according to users’ needs on a pay-per-use model. Massive cloud providers have geo-distributed cloud data centers to ensure service reliability, availability and satisfy user’s need. Therefore, cloud management systems are necessary to increase the profit of cloud providers and to improve … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,034 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHYBRID IMPLEMENTATION AND PERFORMANCE ANALYSIS FOR HIGH PERFORMANCE COMPUTATION WORKLOADJoseph IssaGiven the need to achieve maximum performance possible, offloading intensive computation workload to GPU is a key to achieve this goal. Offloading most of the workload to GPU may not results in desired performance, so a middle approach is more suitable such as splitting the workload between the CPU and the GPU can be considered as an optimized approach. In … …Journal of Computer Science, Vol. 10, Issue 9 · 26 Apr 2014 · 6,514 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptable User Interface Based on the Ecological Interface Design Concept for Multiple Robots Operating Works with UncertaintyHiroshi FurukawaProblem statement: When supervising a team of semi-autonomous robots, the operator’s task is not only the manipulation of each robot but also achievement of the top goal that is assigned to the entire team of humans and robots. The operators are demanded to comprehend highly complex states and make appropriate decisions in dynamic environment using the limited cognitive resources. The … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,196 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTask Load Balancing Strategy for Grid ComputingB. Yagoubi, Y. SlimaniWorkload and resource management are two essential functions provided at the service level of the Grid software infrastructure. To improve the global throughput of these environments, effective and efficient load balancing algorithms are fundamentally important. Most strategies were developed in mind, assuming homogeneous set of resources linked with homogeneous and fast networks. However for computational Grids we must address main … …Journal of Computer Science, Vol. 3, Issue 3 · 31 Mar 2007 · 7,605 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModel for Load Balancing On Processors in Parallel Mining of Frequent ItemsetsRavindra Patel, S. S. Rana, K. R. PardasaniThe existence of many large transactions distributed databases with high data schemas, the centralized approach for mining association rules in such databases will not be feasible. Some distributed algorithms have been developed [FDM, CD], but none of them have considered the problem of data skews in distributed mining of association rules. The skewness of datasets reduces the workload balancing between … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn AI-Assisted Research Automation System for Scholarly Paper Retrieval and Review With Workflow OrchestrationSompoch Tongnamtiang, Manirath Wongsim, Natarpha SatchawateeThe rapid growth of scholarly publications has increased the complexity of conducting rigorous and reproducible literature reviews, while traditional manual review processes are increasingly constrained by information overload, time consumption, and inconsistencies in screening decisions. This study proposes an AI-assisted research automation system that integrates workflow orchestration with literature retrieval and review support mechanisms to address these challenges. The workflow … …Journal of Computer Science, Vol. 22, Issue 7 · 6 Jul 2026 · 1,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractVolatility-Aware Hybrid Memory Architecture for Real-Time and Persistent Big Data SystemsMohammed Elhabib Maicha, Mohammed Redha BouzidiAs data volumes and real-time analytics demands grow, DRAM only memory systems struggle to scale cost-efficiently and sustainably. We present VA-HMA, a volatility-aware hybrid memory architecture that combines DRAM and Non-Volatile Memory (NVM) with a lightweight, machine-learned placement layer and endurance-aware fault tolerance. VA-HMA continuously monitors access patterns and applies a Random Forest–based predictor to guide batched page migrations and … …Journal of Computer Science, Vol. 22, Issue 6 · 27 Jun 2026 · 1,214 accessesView PDFCite