Resource allocation for cloud SaaS offerings based on Social Web applications

Novel approaches in resource provisioning and releasing grew out of cloud computing. Nevertheless, the management of resource pools still needs manual configuration to react on load changes. The presented idea is to procure user-data based on Social Web applications and to use this information for forecasting load progression. Thereby data of geocaching-services are included to determine how many people are at a specific place with a particular focus of interest. Then the system infers the pure volume of the processed load at the corresponding location to appropriately set up resources in advance at an optimal location for the hosting of the software-as-a-service (SaaS) offering.