auto scaling

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auto scaling

A feature of cloud computing in which servers are upgraded or downgraded automatically based on traffic. When traffic spikes for a certain period of time, auto scaling creates a new virtual machine (VM) instance to manage it and disengages the VM when the traffic decreases. The downside of auto scaling is increased server provider fees if the extra traffic ended up being false due to a denial-of-service (DOS) attack. See virtual machine, cloud computing and denial-of-service attack.
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References in periodicals archive ?
SmartBotCoin aims to take advantage of its autoscaling and cloud-based infrastructure to support other assets, bolstering its vision to expand into institutional, B2B and white-label use, he said.
Reduced Risk: autoscaling infrastructure is backed by 99.9% service level availability and 24x7 support
* Marc Schmidt, Head of SDD and GIT-ACI, BSH said, "At BSH GmbH, for the software Development Platform (SDD) which is used for developing thousands of micro to large scale applications, we wanted to deploy an autoscaling Infrastructure on AWS Cloud that can handle millions of users across the world.
We thought of using the AWS autoscaling service, but this only supports CPU-based scaling metrics natively.
The reference and AutoFom data were pre-processed using autoscaling, and the developed calibration models cross-validated using the leave-one-out approach.
- Dynamic Infrastructure and Autoscaling A primary advantage of cloud infrastructure, both private and public, is its ability to auto-scale in response to demand.
Additionally, autoscaling features mean the platform can proactively respond to demand peaks, which means a highly consistent experience for users.
-Self-learning agents are applied in virtualized core (vMME) for world first VNF Autoscaling using deep reinforcement learning which is improving system performance with 25 percent compared to predefined thresholds
The principal component analysis (PCA) was carried out with XLSTAT 2015 software, autoscaling the variables according to the following formula: