Results 101 to 110 of about 6,213 (191)

Optimizing Kubernetes Autoscaling with Artificial Intelligence

open access: yesElectronics and Control Systems
This study explores how to improve Kubernetes auto-scaling using artificial intelligence based forecasting. The authors emphasize the limitations of traditional, reactive auto-scaling methods that lag behind rapid changes in demand and propose a proactive approach that predicts future resource requirements.
Olha Tkhai, Nataliia Shapoval
openaire   +2 more sources

Fast autoscaling algorithm for cost optimization of container clusters

open access: yesJournal of Cloud Computing: Advances, Systems and Applications
Container clusters are widely used to execute containerized applications in cloud environments. An essential characteristic implemented by these clusters is autoscaling, which is the ability to automatically adapt the computing resources of a cluster to ...
José María López   +5 more
doaj   +1 more source

On the Optimization of Kubernetes toward the Enhancement of Cloud Computing

open access: yesMathematics
With the vigorous development of big data and cloud computing, containers are becoming the main platform for running applications due to their flexible and lightweight features.
Subrota Kumar Mondal   +2 more
doaj   +1 more source

Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks

open access: yesThe Scientific World Journal, 2014
In order to meet the demands of operation monitoring of large scale, autoscaling, and heterogeneous virtual resources in the existing cloud computing, a new method of live virtual machine (VM) migration detection algorithm based on the cellular neural ...
Kang Xie   +5 more
doaj   +1 more source

Auto-Scaling of Geo-Based Image Processing in an OpenStack Cloud Computing Environment

open access: yesRemote Sensing, 2016
Cloud computing is a base platform for the distribution of large volumes of data and high-performance image processing on the Web. Despite wide applications in Web-based services and their many benefits, geo-spatial applications based on cloud computing ...
Sanggoo Kang, Kiwon Lee
doaj   +1 more source

Enhancement of Antioxidant and Isoflavones Concentration in Gamma Irradiated Soybean

open access: yesThe Scientific World Journal, 2013
Serbian soybean genotype Ana was gamma irradiated at doses of 1, 2, 4, and 10 kGy in order to evaluate the influence of gamma irradiation on isoflavone (genistein, daidzein, and their glycosides genistin and daidzin) contents and hydroxyl radical ...
Boris M. Popović   +4 more
doaj   +1 more source

Auto-Scaling Techniques in Cloud Computing: Issues and Research Directions

open access: yesSensors
In the dynamic world of cloud computing, auto-scaling stands as a beacon of efficiency, dynamically aligning resources with fluctuating demands. This paper presents a comprehensive review of auto-scaling techniques, highlighting significant advancements ...
Saleha Alharthi   +3 more
doaj   +1 more source

Autoscaling Hadoop clusters

open access: yes, 2010
https://www.ester.ee/record=b5397564 ...
openaire   +1 more source

Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees

open access: yesIEEE Open Journal of the Communications Society
As next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential.
Jesus Perez-Valero   +4 more
doaj   +1 more source

A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios

open access: yesIEEE Access
Cloud computing technology is widely embraced due to its ability to meet diverse computing resource demands from users. As the user base grows, the challenge for cloud service providers to dynamically allocate resources to applications according to real ...
Haipeng Liu   +3 more
doaj   +1 more source

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