Results 1 to 10 of about 4,702 (258)
IEEE Access, 2020 To efficiently manage the cloud resources, improve the quality of service, and avoid the violations of Service-Level Agreement (SLA) agreements, it is very important to make accurate forecast for cloud workload.
Shaojing Zhou +4 more
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A Forecasting Methodology for Workload Forecasting in Cloud Systems
IEEE Transactions on Cloud Computing, 2018 Cloud Computing is an essential paradigm of computing services based on the “elasticity” property, where available resources are adapted efficiently to different workloads over time. In elastic platforms, the forecasting component can be considered by far the most important element and the differentiating factor when comparing such systems, with ...
José M Benitez +2 more
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Forecasting Institutional LINAC Utilization in Response to Varying Workload
Technology in Cancer Research & Treatment, 2022 Objectives Pandemics, natural disasters, and other unforeseen circumstances can cause short-term variation in radiotherapy utilization. In this study, we aim to develop a model to forecast linear accelerator (LINAC) utilization during periods of varying ...
Srinivas Raman MD +7 more
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Dynamic machine learning approach for workload prediction in cloud environments [PDF]
Scientific ReportsContainers, as a lightweight technology for virtualizing applications, have recently revolutionized the management of cloud applications. Containers can be scaled up or down rapidly and easily depending on the workload. Predicting workload is crucial for
Mona Nashaat +3 more
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Time-series analysis for forecasting monthly workload at two elephant hospitals in Thailand. [PDF]
PLoS ONEThe increasing demand for elephant healthcare in Thailand underscores the need for efficient resource management in veterinary hospitals. Treating sick elephants requires substantial medical inputs, and without accurate workload forecasting, hospitals ...
Worapong Kosaruk +4 more
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A scalable machine learning strategy for resource allocation in database [PDF]
Scientific ReportsModern cloud computing systems require intelligent resource allocation strategies that balance quality-of-service (QoS), operational costs, and energy sustainability.
Fady Nashat Manhary +2 more
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Health workforce planning methods in rural and remote primary care: a scoping review [PDF]
Human Resources for HealthBackground Rural and remote communities experience poorer health outcomes and lower life expectancy than their metropolitan counterparts. This is in part due to the lack of access to an appropriately skilled health workforce to meet their primary ...
Geoff Argus +2 more
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Attention-based workload prediction and dynamic resource allocation for heterogeneous computing environments [PDF]
Scientific ReportsThe rapid proliferation of artificial intelligence applications in modern data centers demands intelligent resource management strategies that can effectively handle diverse workloads across heterogeneous computing infrastructures. This paper proposes an
Shijia Shao +3 more
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طرق التنبؤ بحجم العمل في البيئات السحابية: نظرة عامة
Al-Rafidain Journal of Computer Sciences and Mathematics, 2023 Samah F. Aziz, Manar Y. Kashmoola
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Predictive Hybrid Autoscaling for Containerized Applications
IEEE Access, 2022 One of the main challenges in deploying container service is providing the scalability to satisfy the service performance and avoid resource wastage.
Dinh-Dai Vu +2 more
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