PRMRAP: A Proactive Virtual Resource Management Framework in Cloud

With the rapid development of cloud computing, more and more application providers are deploying their applications in the cloud in order to be free from the burden of system administration. Meanwhile, the world is full of information explosion, which makes some applications become hot in a short period of time unexpectedly. Thus these applications in cloud may encounter sudden traffic increment or decrement. Usually, developers use the alarm service or the auto scaling service provided by the cloud provider to tackle sudden traffic change. But these are reactive methods which have time latency and usually they only consider horizontal resizing of scaling group. In this paper, we propose PRMRAP: a proactive framework based on the prediction of resource amount to cope with sudden traffic change. Compared with post-action methods and existing proactive methods, we have lower time latency and we consider not only horizontal resizing but also vertical resizing of scaling group which makes our model quicker and much more cost-effective.