Results 71 to 80 of about 1,278 (112)
Applied SciencesIn the context of scaling a business-critical medical service that involves electronic medical record storage deployed in Kubernetes clusters, this research addresses the need to optimize the configuration parameters of horizontal pod autoscalers for ...
Dariusz R. Augustyn +2 more
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ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment
Journal of Telecommunications and Information TechnologyEdge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency.
Shivan Singh +4 more
doaj +1 more source
Addressing Technical Challenges in Large Language Model-Driven Educational Software System
IEEE AccessThe integration of large language models (LLMs) into educational systems poses significant challenges across several key attributes, including integration, explainability, testability, and scalability.
Nacha Chondamrongkul +2 more
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Strand: scalable trilateration with Node.js
Journal of Cloud Computing: Advances, Systems and Applications, 2019 This work reports on the development details and results of an experimental setup for the localization of the attendants of a music festival. The application had to be reporting in real-time the asymmetric crowd density based on the Received Signal ...
Konstantinos Tserpes +2 more
doaj +1 more source
Pretreatment Methods for Enhancing Machine Learning Performance on Metabolomics Data
IEEE AccessPretreatment methods are critical for metabolomics data analysis, yet their impact on machine learning performance remains insufficiently explored.
Rustam
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Cloud Resource Management With Turnaround Time Driven Auto-Scaling
IEEE Access, 2017 Cloud resource management research and techniques have received relevant attention in the last years. In particular, recently numerous studies have focused on determining the relationship between server-side system information and performance experience ...
Xiaolong Liu +4 more
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PID control based Cluster Autoscaling for Kubernetes [PDF]
Containerized cloud based microservices are deployed using Kubernetes framework in recent approaches in the industry. Kubernetes offers in-built autoscaling tools like the Horizontal Pod Auto-scaler and Vertical Pod Auto-scaler for provisioning resources
Padhi, Sagar Swarajya
core +3 more sources
Journal of Information Systems and InformaticsFailures in deploying digital public services can disrupt essential systems and affect millions of citizens. Machine learning (ML)-based software deployment decision support, including build risk prediction, release gating, autoscaling, rollback ...
Johnson Nuviadenu +3 more
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On Optimized Scheduling Scheme for Rapid Pod Autoscaling in Kubernetes
Applied SciencesKubernetes, an open-source project initiated by Google for managing and organizing containers in cloud platforms, has become the preferred choice for deploying large-scale containerized microservice architectures.
Bowen Zhou +3 more
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ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving [PDF]
Since the increasing popularity of large language model (LLM) backend systems, it is common and necessary to deploy stable serverless serving of LLM on multi-GPU clusters with autoscaling.
Bright, Zachary +7 more
core +1 more source