BoostPred: An Automatic Demand Predictor for the Cloud

As Cloud Computing adoption by enterprise customers grows, so too the need for optimal utilisation of their virtual resources. Likewise, cost pressures on cloud providers with a utility business model e.g. Amazon Web Services, would also need to optimise the utilisation of their physical infrastructure. Clearly, the ability to predict demand would be valuable. We introduce Boost red, an automatic demand predictor for the cloud. BoostPred's design goals are to require no human expert intervention in making accurate predictions from noisy real world demand signals. We evaluate the accuracy of Boost red using noisy real-world signals which reveal its potential and current shortcomings.