Proceedings Article10.1109/ICEBE.2009.45
Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment
Trieu C. Chieu,Ajay Mohindra,Alexei Karve,Alla Segal +3 more
- 21 Oct 2009
- pp 281-286
368
TL;DR: A novel architecture for the dynamic scaling of web applications based on thresholds in a virtualized Cloud Computing environment is described and a dynamic scaling algorithm for automated provisioning of virtual machine resources based on threshold number of active sessions will be introduced.
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Abstract: Scalability is critical to the success of many enterprises currently involved in doing business on the web and in providing information that may vary drastically from one time to another. Maintaining sufficient resources just to meet peak requirements can be costly. Cloud computing provides a powerful computing model that allows users to access resources on-demand. In this paper, we will describe a novel architecture for the dynamic scaling of web applications based on thresholds in a virtualized Cloud Computing environment. We will illustrate our scaling approach with a front-end load-balancer for routing and balancing user requests to web applications deployed on web servers installed in virtual machine instances. A dynamic scaling algorithm for automated provisioning of virtual machine resources based on threshold number of active sessions will be introduced. The on-demand capability of the Cloud to rapidly provision and dynamically allocate resources to users will be discussed. Our work has demonstrated the compelling benefits of the Cloud which is capable of handling sudden load surges, delivering IT resources on-demands to users, and maintaining higher resource utilization, thus reducing infrastructure and management costs.
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Citations
Modelling Virtual Machine Workload in Heterogeneous Cloud Computing Platforms
TL;DR: A new model to predict the application workload is proposed and the experimental results show the ability of the proposed model to allocate more virtual machines and to balance the workload among the physical machines.
Integrating cloud application autoscaling with dynamic VM allocation
Michael Tighe,Michael Bauer +1 more
- 05 May 2014
TL;DR: A new algorithm combining both the automatic scaling of applications with dynamic allocation of virtual machines is proposed in order to meet the goals of both the cloud client and provider and can achieve better application performance with a significant reduction in virtual machine live migrations.
A novel QoS-aware mechanism for provisioning of virtual machine resource in cloud
TL;DR: A novel adaptive QoS-aware virtual machine provisioning mechanism is developed that ensures efficient utilization of the system resources and is linked by a low-level infrastructure resource and is ensured by serving all the tasks within the requirements described in SLA.
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers
Esma Mouine,Yan Liu,Jincheng Sun,Mathieu Nayrolles,Mahzad Kalantari +4 more
TL;DR: This study analyzes time series forecasting models (ARIMA, Prophet, LSTM) for cloud-based game servers, finding LSTM to be the most accurate in predicting virtual machine demand, with improved under-provisioning and reduced over-provisioning ratios.
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