2009 · 281 citations · 5 references
ComputingCloud ComputingComputer ScienceCloud ArchitectureCloud InfrastructureVirtualizationCloud Resource ManagementLoad BalancingResource ProvisioningResource SchedulingScalability ArchitectureVirtualization ArchitectureAutomated ProvisioningCloud Load BalancingDynamic ScalingOn-demand ProvisioningProvisioningVirtual Machine ProvisioningWeb Application ScalingWeb Servers
Scalability is essential for web‑based enterprises, yet meeting peak demand with static resources is costly; cloud computing offers on‑demand access to scalable resources. The paper proposes a threshold‑based dynamic scaling architecture for web applications in virtualized cloud environments, introducing an automated VM provisioning algorithm and discussing rapid on‑demand resource allocation. The architecture employs a front‑end load‑balancer that routes user requests to web servers on virtual machine instances, using a threshold‑based algorithm to automatically provision and balance VM resources. Experiments show that the proposed dynamic scaling approach handles sudden load surges, delivers on‑demand resources, and improves resource utilization, thereby reducing infrastructure and management costs.
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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Dynamic load balancing on Web-server systems
Valeria Cardellini, Michele Colajanni, Philip S. Yu · IEEE Internet Computing · 1999 · 559 citations · Full text