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.
References in periodicals archive ?
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
Integrating cloud application autoscaling with dynamic vm allocation," in Network Operations and Management Symposium (NOMS), 2014 IEEE.
In TargetLink, through Autoscaling Tool, models can be scaled.
Evanssion will now provide enterprise customers from across the region with software defined application services while enabling them to accelerate application delivery on-premises or in the cloud with services including application visibility and analytics, micro-segmentation, autoscaling, and self-service for app developers.
microsegmentation, autoscaling and self-service for app developers.
SequenceIQ also optimizes these deployments via policy-based autoscaling that expands and contracts clusters based upon actual usage metrics.
Live streaming from the cloud is especially well suited to anyone interested in trying new concepts without upfront expenses or added staff, getting to market quickly, autoscaling to adapt to unpredictable viewership, reducing hardware purchase and maintenance costs, and future-proofing against video format changes.
Azure's autoscaling features comes into the picture here, where it configures it in a way that would optimize the performance for the user in terms of cost and computing power.
Gokhale, "Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting", in Proc.
An autoscaling feature will allow customers to specify the number of server CPUs and size of RAM and disk space to be provisioned automatically as conditions warrant.
2] as selection criteria, variance cut off value as zero and autoscaling method was used for building the regression models.