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Proceedings of the Fifteenth European Conference on Computer Systems, 2020 In many public and private Cloud systems, users need to specify a limit for the amount of resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits might be throttled or killed, resulting in delaying or dropping end-user requests, so human operators naturally err on the side of caution and request a larger limit than
Krzysztof Rzadca +10 more
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Online Workload Burst Detection for Efficient Predictive Autoscaling of Applications
IEEE Access, 2020 Autoscaling methods are employed to ensure the scalability of cloud-hosted applications. The public-facing applications are prone to receive sudden workload bursts, and the existing autoscaling methods do not handle the bursty workloads gracefully. It is
Fatima Tahir +4 more
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Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes
Mathematics, 2023 Most enterprise customers now choose to divide a large monolithic service into large numbers of loosely-coupled, specialized microservices, which can be developed and deployed separately.
Subrota Kumar Mondal +6 more
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Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure
IEEE Access, 2022 Container-based Internet of Things (IoT) applications in an edge computing environment require autoscaling to dynamically adapt to fluctuations in IoT device requests.
Le Hoang Phuc, Linh-An Phan, Taehong Kim
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Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes
Applied Sciences, 2021 Presently, the cloud computing environment attracts many application developers to deploy their web applications on cloud data centers. Kubernetes, a well-known container orchestration for deploying web applications on cloud systems, offers an automatic ...
Nhat-Minh Dang-Quang, Myungsik Yoo
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Ruler Detection for Autoscaling Forensic Images [PDF]
International Journal of Digital Crime and Forensics, 2014 The assessment of forensic photographs often requires the calibration of the resolution of the image so that accurate measurements can be taken of crime-scene exhibits or latent marks. In the case of latent marks, such as fingerprints, image calibration to a given dots-per-inch is a necessary step for image segmentation, preprocessing, extraction of ...
Abhir Bhalerao, Gregory Reynolds
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Elascale: Autoscaling and Monitoring as a Service
CoRR, 2017 Auto-scalability has become an evident feature for cloud software systems including but not limited to big data and IoT applications. Cloud application providers now are in full control over their applications' microservices and macroservices; virtual machines and containers can be provisioned or deprovisioned on demand at runtime.
Hamzeh Khazaei +5 more
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Proactive autoscaling for edge computing systems with kubernetes [PDF]
Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2021 With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing applications do not utilize heterogeneous resources of edge systems efficiently, leaving scope for ...
Li Ju, Prashant Singh, Salman Toor
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Self-Adaptive Data Processing to Improve SLOs for Dynamic IoT Workloads
Computers, 2020 Internet of Things (IoT) covers scenarios of cyber−physical interaction of smart devices with humans and the environment and, such as applications in smart city, smart manufacturing, predictive maintenance, and smart home. Traditional scenarios are
Peeranut Chindanonda +2 more
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The new ionospheric station of Tucumán: first results
Annals of Geophysics, 2007 An Advanced Ionospheric Sounder, built at the Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy, was installed at Tucumán, Argentina, particularly interesting for its location, near the southern peak of the ionospheric equatorial ...
M. A. Cabrera +6 more
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