Results 11 to 20 of about 2,729 (217)
An Autoscaling System Based on Predicting the Demand for Resources and Responding to Failure in Forecasting [PDF]
Sensors, 2023 In recent years, the convergence of edge computing and sensor technologies has become a pivotal frontier revolutionizing real-time data processing. In particular, the practice of data acquisition—which encompasses the collection of sensory information in
Jieun Park, Junho Jeong
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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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ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring [PDF]
SensorsAddressing the increasing demand for remote patient monitoring, especially among the elderly and mobility-impaired, this study proposes the “ScalableDigitalHealth” (SDH) framework.
Hisham Alasmary
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ATOM: Model-driven autoscaling for microservices [PDF]
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019 Microservices based architectures are increasingly widespread in the cloud software industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique features of these architectures, such as the ability to independently scale a
Woodside, M., Casale, G., Gias, A.U.
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The Effects of Autoscaling in Cloud Computing
Management Science, 2018 Web-based firms often rely on cloud-based computational resources to serve customers, but the number of customers they will serve is rarely known at the time of product launch.
Amin Sayedi +2 more
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Evaluation of explainability in autoscaling frameworks [PDF]
, 2022 With the introduction of container- and microservice-based software architecture, operators face increasing workloads for monitoring and administrating these systems.
Zilch, Markus
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Predicting Failures of Autoscaling Distributed Applications
Proceedings of the ACM on Software Engineering<div> <div>This replication package can be used to fully replicate the results of our paper <em><a href="https://2024.esec-fse.org/details/fse-2024-research-papers/55/Predicting-Failures-of-Autoscaling-Distributed-Applications ...
Lomio, Fracesco +5 more
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Distributed resource autoscaling in Kubernetes edge clusters
2022 18th International Conference on Network and Service Management (CNSM), 2022 Maximizing the performance of modern applications requires timely resource management of the virtualized resources. However, proactively deploying resources for meeting specific application requirements subject to a dynamic workload profile of incoming ...
Dimitrios Spatharakis +11 more
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Continual Learning in Predictive Autoscaling
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023 Predictive Autoscaling is used to forecast the workloads of servers and prepare the resources in advance to ensure service level objectives (SLOs) in dynamic cloud environments. However, in practice, its prediction task often suffers from performance degradation under abnormal traffics caused by external events (such as sales promotional activities and
Hongyan Hao +9 more
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An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing
Applied Sciences, 2022 With the rapid development of 5G technology, the need for a flexible and scalable real-time system for data processing has become increasingly important.
Nhat-Minh Dang-Quang, Myungsik Yoo
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