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Proactive automatic up-scaling for Kubernetes
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 Modern challenges in microservice architecture requires autoscaling (upscaling and down-scaling). As an example Black Friday can be considered when load to system increases significantly and obviously more computing capabilities are need to serve it ...
D. Gutman, O. Syrota
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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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Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters [PDF]
, 2022 The cloud community has accepted microservices as the dominant architecture for implementing cloud native applications. To efficiently execute microservice-based applications, application owners need to carefully scale the required resources, considering
Angelina Horn +5 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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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
openaire +3 more sources
Enhancing Cloud Efficiency using Intelligent Autoscaling Algorithms [PDF]
, 2023 Cloud computing has revolutionized the way data and applications are managed, offering scalable, flexible, and cost-effective solutions. A critical aspect of cloud computing is autoscaling, the ability to dynamically adjust computing resources to match ...
Rahane, Pushkar Deodatta
core
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
doaj +1 more source
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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Optimized Autoscaling of Cloud Native Applications [PDF]
, 2021 Software containers are changing the way distributed applications are executedand managed on cloud computing resources. Autoscaling allows containerizedapplications and services to run resiliently with high availability without the demandof user ...
Åsberg, Niklas
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