Elasticity in the Cloud One of the main benefits of the cloud is that it allows you to stop guessing about capacity when you need to run your applications. Sometimes you buy too much or you don't buy enough to support the running of your applications. With elasticity, your servers, databa...
Elasticity in the Cloud One of the main benefits of the cloud is that it allows you to stop guessing about capacity when you need to run your applications. Sometimes you buy too much or you don't buy enough to support the running of your applications. With elasticity, your servers, databa...
In AWS and the other main cloud providers, resources can be shut down without having to terminate them completely, and the billing for resources will stop if the resources are shut down.One important characteristic of public cloud providers such as AWS is the ability to quickly a...
leading the world. In the Magic Quadrant of the Forrester evaluation last year, it is obvious that Alibaba Cloud has been on par with AWS in the serverless field. At the same time, Alibaba Cloud Serverless users accounted for the first place ...
lastminute.com migrated its on-premises microservices to the AWS Cloud to improve elasticity, reduce compute costs, and simplify its compliance with the GDPR. The online travel retailer could not quickly scale its legacy infrastructure in response to traffic fluctuations, such as those related to ...
The mechanisms supporting cloud elasticity which are available today, can be broadly divided in three categories: i) manual decision making; ii) automatic adaptations; and iii) hybrid solutions. To the best of our knowledge, most of the developed mechanisms either require some input from the Dev...
Cloud elasticity is the ability, in real time, to increase or decrease cloud computing resources, such as central processing unit (CPU) power, memory and storage capacity, as well as input and output bandwidth, to meet unexpected changes in online traffic. ...
AWS 还支持预测性缩放,该功能使用机器学习来预测流量模式并相应地管理实例计数。 目标是智能缩放云资源,而无需云管理员配置自动缩放规则。 主要云服务提供商一直在寻找通过机器学习来改进其平台的新方法。 例如,Microsoft 现在通过主动预测和减少 VM 故障1,使用机器学习来提高 Azure 虚拟机的弹性。
For example, they represent the usual choice by cloud providers that offer auto-scaling services (e.g., AWS Auto Scaling and Google Compute Engine Autoscaling). However, they require the user to know how to set the corresponding threshold rules [44]. On the other hand, automatic decision-...
AWS 會在其 Elastic Load Balancer (ELB) 供應項目中使用此方法。 ELB 會佈建負載平衡器,以在連接的 EC2 執行個體之間平衡流量。 負載平衡器基本上就是 EC2 執行個體本身,並具備專門路由傳送流量的服務。 當負載平衡器後方的資源擴增時,新資源的 IP 位址就會在負載平衡器的 DNS 記錄上更新。 此程序要花費數...