Results 11 to 20 of about 168,797 (129)

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

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

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

Self‐adaptation on parallel stream processing: A systematic review

Concurrency and Computation: Practice and Experience, Volume 34, Issue 6, 10 March 2022., 2022
Summary A recurrent challenge in real‐world applications is autonomous management of the executions at run‐time. In this vein, stream processing is a class of applications that compute data flowing in the form of streams (e.g., video feeds, images, and data analytics), where parallel computing can help accelerate the executions. On the one hand, stream
Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes   +3 more
wiley   +1 more source

Autoscaling through Self-Adaptation Approach in Cloud Infrastructure. A Hybrid Elasticity Management Framework Based Upon MAPE (Monitoring-Analysis-Planning-Execution) Loop, to Ensure Desired Service Level Objectives (SLOs) [PDF]

, 2019
The project aims to propose MAPE based hybrid elasticity management framework on the basis of valuable insights accrued during systematic analysis of relevant literature.
Butt, Sarfraz S.
core   +8 more sources

Towards SLA‐Driven Autoscaling of Cloud Distributed Services for Mobile Communications

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
In recent years cloud computing has established itself as the computing paradigm that supports most distributed systems, which are essential in mobile communications, such as publish‐subscribe (pub/sub) systems or complex event processing (CEP). The cornerstone of cloud computing is elasticity, and today’s autoscaling systems leverage that property by ...
Carlos Miguel, Víctor Rampérez, Javier Soriano, Shadi Aljawarneh, Claudio Agostino Ardagna   +4 more
wiley   +1 more source

Resource Provisioning Techniques in Multi‐Access Edge Computing Environments: Outlook, Expression, and Beyond

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
Mobile cloud computing promises a research foundation in information and communication technology (ICT). Multi‐access edge computing is an intermediate solution that reduces latency by delivering cloud computing services close to IoT and mobile clients (MCs), hence addressing the performance issues of mobile cloud computing.
S. Durga, Esther Daniel, J. Andrew Onesimu, Yuichi Sei, Giovanni Nardini   +4 more
wiley   +1 more source