Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 225,371,605 papers from all fields of science
Search
Sign In
Create Free Account
Autoscaling
Known as:
Auto scaling
, Autoscaler
, Auto-scaling
Expand
Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing, whereby the…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
9 relations
AWS Elastic Beanstalk
Amazon Web Services
Google Cloud Platform
Google Compute Engine
Expand
Broader (1)
Cloud computing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments
N. Herbst
,
Samuel Kounev
,
Andreas Weber
,
Henning Groenda
IEEE/ACM 10th International Symposium on Software…
2015
Corpus ID: 11615025
Today's infrastructure clouds provide resource elasticity (i.e. Auto-scaling) mechanisms enabling self-adaptive resource…
Expand
Highly Cited
2014
Highly Cited
2014
Automatic Scaling of Internet Applications for Cloud Computing Services
Zhen Xiao
,
Qi Chen
,
Haipeng Luo
IEEE transactions on computers
2014
Corpus ID: 5819797
Many Internet applications can benefit from an automatic scaling property where their resource usage can be scaled up and down…
Expand
2014
2014
Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM)
A. Nikravesh
,
S. Ajila
,
Chung-Horng Lung
International Computer Science Conference
2014
Corpus ID: 8275647
The elasticity characteristic of cloud computing enables clients to acquire and release resources on demand. This characteristic…
Expand
2012
2012
Automated Workload Characterization in Cloud-based Transactional Data Grids
B. Ciciani
,
Diego Didona
,
+4 authors
P. Romano
IEEE 26th International Parallel and Distributed…
2012
Corpus ID: 8816747
Cloud computing represents a cost-effective paradigm to deploy a wide class of large-scale distributed applications, for which…
Expand
2011
2011
Investigating the Impact of Deployment Configuration and User Demand on a Social Network Application in the Amazon EC2 Cloud
Matheus Cunha
,
N. Mendonça
,
Américo Sampaio
IEEE Third International Conference on Cloud…
2011
Corpus ID: 16306535
One of the main challenges faced by current users of infrastructure-as-a-service (IaaS) clouds are the difficulties to estimate…
Expand
Review
2011
Review
2011
Handymap: A Selection Interface for Cluttered VR Environments Using a Tracked Hand-Held Touch Device
Mores Prachyabrued
,
David L. Ducrest
,
C. Borst
International Symposium on Visual Computing
2011
Corpus ID: 15668904
We present Handymap, a novel selection interface for virtual environments with dense datasets. The approach was motivated by…
Expand
Highly Cited
2004
Highly Cited
2004
Ultracapacitor model with automatic order selection and capacity scaling for dynamic system simulation
R. Dougal
,
Lijun Gao
,
Shengyi Liu
2004
Corpus ID: 11364672
2004
2004
Software for the automatic scaling of critical frequency f0F2 and MUF(3000) F2 from ionograms appliedat the Ionospheric Observatory of Gibilmanna
M. Pezzopane
,
C. Scotto
2004
Corpus ID: 55405707
Software for the automatic scaling of critical frequency f0F2 and MUF(3000)F2 from ionograms was developed and applied to the…
Expand
2001
2001
A digital watermarking scheme based on SPIHT coding
Shih-Hsuan Yang
,
Yi-Lan Chang
IEEE International Conference on Multimedia and…
2001
Corpus ID: 7208859
The SPIHT (set partitioning in hierarchical trees) method proposed by Said and Pearlman is a very successful image compression…
Expand
1998
1998
Calibration and validation of freehand 3D ultrasound systems based on DC magnetic tracking
N. Pagoulatos
,
Warren S. Edwards
,
D. Haynor
,
Yongmin Kim
Medical Imaging
1998
Corpus ID: 111693734
A new method for calibrating a free-hand 3D ultrasound system based on a DC magnetic tracking position sensor is presented. The…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE