Results 181 to 190 of about 2,729 (217)
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Autoscaling Effects in Speed Scaling Systems

2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016
In this paper, we study the dynamics of coupled speed scaling systems, in which service rate is a function of system occupancy. We focus on both Processor Sharing (PS) and Shortest Remaining Processing Time (SRPT) as scheduling disciplines, and study their speed scaling dynamics under heavy load.
B. Maryam Elahi, Carey L. Williamson
openaire   +1 more source

IaaS Reactive Autoscaling Performance Challenges

2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018
The main feature of a cloud application is its scalability. Major IaaS cloud services providers (CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization solutions (e.g. containers, pods) can also scale. An application scales in response to change in observed metrics, e.g. in CPU utilization.
Vladimir Podolskiy   +2 more
exaly   +2 more sources

ENORMOuS: An environment-based autoscaling system

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020
This paper describes an auto scale approach driven by the use of environmental metrics to scale applications. On high granularity application environments, every application impacts directly in other applications. The main goal of this paper is to predict scale demands before compromising the performance by overload.
Renato Gil-Azevedo   +1 more
openaire   +1 more source

A Survey of Autoscaling in Kubernetes

2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), 2022
Minh-Ngoc Tran   +2 more
openaire   +1 more source

Quantifying Cloud Elasticity with Container-Based Autoscaling

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Abstract Containers have been a pervasive approach to help rapidly develop, test and update the Internet of Things applications (IoT). The autoscaling of containers can adaptively allocate computing resources for various data volumes over time. Therefore, elasticity, a critical feature of a cloud platform, is significant to measure the performance of
Fan Zhang 0003   +4 more
openaire   +1 more source

Autoscaling Hadoop clusters

2023
https://www.ester.ee/record=b5397564 ...
openaire   +1 more source

Hitchhiker's Guide for Explainability in Autoscaling

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
Floriment Klinaku   +3 more
openaire   +1 more source

Autoscaling of Containerized HPC Clusters in the Cloud

2022 IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies (SuperCompCloud), 2022
Nicolas Grenèche, Christophe Cérin
openaire   +1 more source

A Prediction based Autoscaling in Serverless Computing

2022 13th International Conference on Information and Communication Technology Convergence (ICTC), 2022
Ha-Duong Phung, Younghan Kim 0002
openaire   +1 more source

Towards Microservices-Aware Autoscaling: A Review

2023 IEEE Symposium on Computers and Communications (ISCC), 2023
Mohamed Hedi Fourati   +2 more
openaire   +1 more source

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