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Cloud computing can offer a set of computing resources according to users'demand. It is suitable to be used to handle flash-crowd events in Webapplications due to its elasticity and on-demand characteristics. Thus, whenWeb applications need more computing or storage capacity, they just instantiatenew resources. However, providers have to estimate the amount of resources toinstantiate to handle with the flash-crowd event. This estimation is far fromtrivial since each cloud environment provides several kinds of heterogeneousresources, each one with its own characteristics such as bandwidth, CPU, memoryand financial cost. In this paper, the Flash Crowd Handling Problem (FCHP) isprecisely defined and formulated as an integer programming problem. A newalgorithm for handling with a flash crowd named FCHP-ILS is also proposed. WithFCHP-ILS the Web applications can replicate contents in the alreadyinstantiated resources and define the types and amount of resources toinstantiate in the cloud during a flash crowd. Our approach is evaluatedconsidering real flash crowd traces obtained from the related literature. Wealso present a case study, based on a synthetic dataset representingflash-crowd events in small scenarios aiming at the comparison of the proposedapproach against Amazon's Auto-Scale mechanism.

Handling Flash-Crowd Events to Improve the Performance of Web Applications