Journal article

Mitigating impact of short-term overload on multi-cloud web applications through geographical load balancing

C Qu, RN Calheiros, R Buyya

Concurrency and Computation Practice and Experience | WILEY | Published : 2017

Abstract

Managed by an auto-scaler in the clouds, applications may still be overloaded by sudden flash crowds or resource failures as the auto-scaler takes time to make scaling decisions and provision resources. With more cloud providers building geographically dispersed data centers, applications are commonly deployed in multiple data centers to better serve customers worldwide. In this case, instead of sufficiently over-provisioning each data center to prepare for occasional overloads, it is more cost-efficient to over-provision each data center a small amount of capacity and to balance the extra load among them when resources in any data center are suddenly saturated. In this paper, we present a d..

View full abstract

University of Melbourne Researchers

Grants

Funding Acknowledgements

We thank Adel Nadjaran Toosi, Xunyun Liu, Yaser Mansouri, and Minxian Xu for their valuable comments and suggestions in improving the quality of the paper. This work is partially supported by an ARC Future Fellowship project.