Performance aware reconfiguration of software systems
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Proceedings of the 15th WSEAS international conference on Computers
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control
Proceedings of the 3rd workshop on Scientific Cloud Computing Date
Cloud infrastructure for providing tools as a service: quality attributes and potential solutions
Proceedings of the WICSA/ECSA 2012 Companion Volume
A model-driven approach for virtual machine image provisioning in cloud computing
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
Two levels autonomic resource management in virtualized IaaS
Future Generation Computer Systems
DARGOS: A highly adaptable and scalable monitoring architecture for multi-tenant Clouds
Future Generation Computer Systems
A model view controller based Self-Adjusting Clustering Framework
Journal of Systems and Software
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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.