Fast (re-)configuration of mixed on-demand and spot instance pools for high-throughput computing
Alexandra Ioana Vintilă, Ana Oprescu, Thilo Kielmann · 2013
Commercial cloud offerings let users allocate compute resources on demand, charging based on reserved time intervals. Users, however, lack guidance for assembling instance pools from different cloud instance types, in order to control completion time and monetary budget. BaTS, our budget-constrained scheduler uses tiny statistical samples of task executions in order to predict completion times (and associated costs) for given bags of tasks, allowing the user to favor either fast execution or low computation budget. BaTS' estimator, however, can not handle variably-priced spot instances appropriately.