Results 171 to 180 of about 6,213 (191)

Predicting CPU usage for proactive autoscaling

Proceedings of the 1st Workshop on Machine Learning and Systems, 2021
Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application's run-time requirements, but only help the cloud infrastructure resource manager to map requested resources to physical resources.
Thomas Wang, Simone Ferlin, Marco Chiesa
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Optimal autoscaling in a IaaS cloud

Proceedings of the 9th international conference on Autonomic computing, 2012
An application provider leases resources (i.e., virtual machine instances) of variable configurations from a IaaS provider over some lease duration (typically one hour). The application provider (i.e., consumer) would like to minimize their cost while meeting all service level obligations (SLOs).
Hamoun Ghanbari, Bradley Simmons, Marin Litoiu, Cornel Barna, Gabriel Iszlai   +4 more
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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.
Maryam Elahi, Carey Williamson
openaire   +1 more source

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, Claudio Miceli Farias   +1 more
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Cloud autoscaling for HTTP/2 workloads

2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech), 2017
Cloud computing provides cost effective solutions for deploying services and applications. Even though resources can be provisioned on demand, they need to adapt quickly and in a seamless way to the workload intensity and characteristics and satisfy at the same time the desired performance levels and the corresponding SLAs.
Maria Carla Calzarossa, Luisa Massari, Momin I. M. Tabash, Daniele Tessera   +3 more
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Mathematical Modeling in Cloud Systems Autoscaling

2019 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2019
The problem of forecasting the workload in the autoscaling services of cloud systems is considered. Methods are proposed for mathematical modeling of the non-stationary process of receiving users requests, allowing as a result to form an analytical model of the workload.
S. A. Zhmylev, I. G. Martynchuk
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Autoscaling tiered cloud storage in Anna

The VLDB Journal, 2019
In this paper, we describe how we extended a distributed key-value store called Anna into an autoscaling, multi-tier service for the cloud. In its extended form, Anna is designed to overcome the narrow cost-performance limitations typical of current cloud storage systems.
Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein   +2 more
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Multilayered Cloud Applications Autoscaling Performance Estimation

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2017
A multilayered autoscaling gets an increasing attention both in research and business communities. Introduction of new virtualization layers such as containers, pods, and clusters has turned a deployment and a management of cloud applications into a simple routine. Each virtualization layer usually provides its own solution for scaling.
Anshul Jindal, Vladimir Podolskiy, Michael Gerndt   +2 more
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Towards Microservices-Aware Autoscaling: A Review

2023 IEEE Symposium on Computers and Communications (ISCC), 2023
Mohamed Hedi Fourati, Soumaya Marzouk, Mohamed Jmaiel   +2 more
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Hitchhiker's Guide for Explainability in Autoscaling

Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
Floriment Klinaku, Sandro Speth, Markus Zilch, Steffen Becker   +3 more
openaire   +1 more source