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Autoscaling

Known as: Auto scaling, Autoscaler, Auto-scaling 
Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing, whereby the… 
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Related topics

Related topics

9 relations
AWS Elastic BeanstalkAmazon Web ServicesGoogle Cloud PlatformGoogle Compute Engine

Broader (1)

Cloud computing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
RAS: Reliable auto-scaling of virtual machines in multi-tenant cloud networks
This paper addresses the problem of auto-scaling cloud services (tenants) in a failure prone cloud data center network. Auto… 
Highly Cited
2015
Highly Cited
2015
BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments
Today's infrastructure clouds provide resource elasticity (i.e. Auto-scaling) mechanisms enabling self-adaptive resource… 
Review
2015
Review
2015
A Survey : Securing Cloud Infrastructure against EDoS Attack
The Distributed Denial-of-service (DDoS) attack is considered one of the largest threats to the availability of cloud computing… 
2015
2015
Efficient Resource Allocation Mechanism for Federated Clouds
This study proposes a novel efficient resource allocation mechanism for federated clouds, which takes the communication overhead… 
2013
2013
Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud
Machine Translation (MT) system is a complex natural language processing (NLP) system composed of large number of heterogeneous… 
2011
2011
Investigating the Impact of Deployment Configuration and User Demand on a Social Network Application in the Amazon EC2 Cloud
One of the main challenges faced by current users of infrastructure-as-a-service (IaaS) clouds are the difficulties to estimate… 
2011
2011
UvA-DARE (Digital Academic Repository) Prediction-based auto-scaling of scientific workflows
In this paper we propose a novel method for auto-scaling data-centric workflow tasks. Scaling is achieved through a prediction… 
2010
2010
Robust and classical PLS regression compared
Classical PLS regression is a well‐established technique in multivariate data analysis. Since classical PLS is known to be… 
2001
2001
A digital watermarking scheme based on SPIHT coding
The SPIHT (set partitioning in hierarchical trees) method proposed by Said and Pearlman is a very successful image compression… 
1998
1998
Calibration and validation of freehand 3D ultrasound systems based on DC magnetic tracking
A new method for calibrating a free-hand 3D ultrasound system based on a DC magnetic tracking position sensor is presented. The… 
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