Results 21 to 30 of about 8,251,079 (331)
An Auto-Scaling Approach for Microservices in Cloud Computing Environments
Abstract Today, web applications are one of the most common applications providing service to users. Web application providers have moved their applications to cloud data centers. In this regard, microservices have become a famous architecture for building cloud-native applications.
Matineh ZargarAzad, Mehrdad Ashtiani
semanticscholar +2 more sources
The internet of things is an emerging technology used in cloud computing and provides many services of the cloud. The cloud services users mostly suffer from service delays and disruptions due to service cloud resource management based on vertical and ...
Mirza Abdur Razzaq +5 more
doaj +1 more source
Auto-scaling Applications in Edge Computing [PDF]
The perspective of online services such as Internet of Things (IoT) applications has impressively evolved over the last recent years as they are becoming more and more time-sensitive, maintained at decentralized locations and easily affected by the changing workload intensity at runtime.
Salman Taherizadeh, Vlado Stankovski
openaire +3 more sources
An Automatic CADI’s Ionogram Scaling Software Tool for Large Ionograms Data Analytics
Scale the ionosonde ionograms to produce accurate readings is a professional manual scaling technique. However, there is a high demand for auto-scaling software that can manage a large number of ionograms in order to avoid the time and effort involved in
T. Venkateswara Rao +2 more
doaj +1 more source
Containers have revolutionized application deployment and life-cycle management in current cloud platforms. Applications have evolved from large monoliths to complex graphs of loosely-coupled microservices aiming to improve deployment flexibility and ...
José Santos +3 more
semanticscholar +1 more source
DEPAS: a decentralized probabilistic algorithm for auto-scaling [PDF]
The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources. This capability is called auto-scaling and its main purpose is to automatically adjust the scale of the system that is running the ...
Nicolò Maria Calcavecchia +4 more
openaire +3 more sources
Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021)
Companion repo of the UCC 2021 paper "Predictive Auto-scaling with OpenStack Monasca" (https://github.com/giacomolanciano/UCC2021-predictive-auto-scaling ...
Bacciu, Davide +4 more
core +1 more source
Efficient Computation of Optimal Thresholds in Cloud Auto-scaling Systems
We consider a horizontal and dynamic auto-scaling technique in a cloud system where virtual machines hosted on a physical node are turned on and off to minimise energy consumption while meeting performance requirements.
Thomas Tournaire +2 more
semanticscholar +1 more source
Auto-scaling Vision Transformers without Training
This work targets automated designing and scaling of Vision Transformers (ViTs). The motivation comes from two pain spots: 1) the lack of efficient and principled methods for designing and scaling ViTs; 2) the tremendous computational cost of training ViT that is much heavier than its convolution counterpart.
Wuyang Chen 0001 +5 more
openaire +3 more sources
The 3-Axis Scalable Service-Cloud Resource Modeling for Burst Prediction Under Smart Campus Scenario
Internet of Things (IoT) enables smart campuses more convenient for cloud services. The availability of cloud resources to its users appears as a fundamental challenge. The existing research presents several auto-scaling techniques to scale the resources
Mirza Abdur Razzaq +6 more
doaj +1 more source

