Results 11 to 20 of about 181,670 (124)

Proactive automatic up-scaling for Kubernetes [PDF]

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
doaj   +2 more sources

Cushion: A proactive resource provisioning method to mitigate SLO violations for containerized microservices

IET Communications, 2022
Deploying microservices in container‐based cloud environments increases the agility of resource scaling. However, the delay in autoscaling for microservices caused by container cold start results in response time service‐level objectives (SLO) violations
Dacheng Zhou, Hongchang Chen, Ke Shang, Guozhen Cheng, Jianpeng Zhang, Hongchao Hu   +5 more
doaj   +2 more sources

Attention-Enhanced Multivariate Forecasting for Intelligent Microservice Autoscaling

Journal of Applied Informatics and Computing
Proactive autoscaling in cloud-native microservices requires anticipatory decisions because reactive controllers often lag under abrupt workload shifts. This study aims to improve autoscaling decision quality through a two-stage machine learning pipeline.
Nur Saifuddin, Mula Agung Barata, Ifnu Wisma Dwi Prastya   +2 more
doaj   +2 more sources

ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment [PDF]

Journal of Telecommunications and Information Technology
Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency.
Shivan Singh, Narayan D.G., Sadaf Mujawar, G.S. Hanchinamani, P.S. Hiremath   +4 more
doaj   +3 more sources

Automated Near Real-Time QC for LC-HRMS. [PDF]

Rapid Commun Mass Spectrom
ABSTRACT Rationale The quality of analytical measurements is typically evaluated after completion of the entire, or possibly multiple, measurement batch(es). Automated, near real‐time quality control (QC) during LC‐HRMS acquisition can prevent reruns and sample loss by flagging issues as they occur.
Mohr MJ, Strähle L, Bader T, Leurle P, Christensen JH, Seitz W, Winzenbacher R.   +6 more
europepmc   +2 more sources

Effects of extremely preterm birth on cytokine and chemokine responses induced by T-cell activation during infancy. [PDF]

Clin Transl Immunology
In this study, we found that cytokine and chemokine responses induced by T‐cell activation in extremely preterm infants were mainly reduced 14 days after birth compared to those in full‐term infants, but mostly recovered at gestational week 36, indicating immune maturation. Abstract Objectives Extremely preterm (EPT; gestational week < 28 + 0, < 1000 g)
Govindaraj D, Jensen GB, Rahman Qazi K, Sverremark-Ekström E, Abrahamsson T, Jenmalm MC.   +5 more
europepmc   +2 more sources

Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud. [PDF]

Comput Intell Neurosci, 2017
Infrastructure as a Service (IaaS) cloud provides resources as a service from a pool of compute, network, and storage resources. Cloud providers can manage their resource usage by knowing future usage demand from the current and past usage patterns of resources.
Zia Ullah Q, Hassan S, Khan GM.
europepmc   +2 more sources

Proactive Auto-Scaling Approach of Production Applications Using an Ensemble Model

IEEE Access, 2023
The resource usage behaviors of application workloads are currently the primary concern of cloud providers offering hosting services. These services should be able to adapt to workload changes by automatically provisioning and de-provisioning resources ...
Mohamed Samir, Khaled T. Wassif, Soha H. Makady   +2 more
doaj   +1 more source

Proactive-Reactive Global Scaling, with Analytics [PDF]

, 2022
International audienceIn this work, we focus on by-design global scaling, a technique that, given a functional specification of a microservice architecture, orchestrates the scaling of all its components, avoiding cascading slowdowns typical of ...
Saverio Giallorenzo, Bravetti, Mario, Zingaro, Stefano Pio, Lorenzo Bacchiani, Giallorenzo, Saverio, Bacchiani, Lorenzo, Mario Bravetti, Maurizio Gabbrielli, Stefano Pio Zingaro, Zavattaro, Gianluigi, Gianluigi Zavattaro, Gabbrielli, Maurizio   +11 more
core   +1 more source

An In‐depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds

Scientific Programming, Volume 2023, Issue 1, 2023., 2023
Many important computational applications in science, engineering, industry, and technology are represented by PSE (parameter sweep experiment) applications. These applications involve a large number of resource‐intensive and independent computational tasks. Because of this, cloud autoscaling approaches have been proposed to execute PSE applications on
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodriguez, Emmanuel Millán, Jorge R. Santos, Zhihan Liu   +7 more
wiley   +1 more source