Method for mapping media components employing machine learning

Abstract

The present document relates to cloud computing. In particular, the present document relates to methods and systems for cloud computing which enable the efficient and flexible placement of application components within a cloud. A computing device () is described. The computing device () is adapted to receive a plurality of component placement requests for one or more components () of a corresponding plurality of applications (); determine a plurality of feature vectors () from the plurality of component placement requests, respectively; wherein each feature vector () comprises vector dimensions which describe different attributes of the respective component placement request: determine a plurality of placement decisions () regarding the plurality of component placement requests, respectively: wherein each placement decision () comprises an indication of one or more executing computing devices () onto which the one or more components () of the respective application () have been placed; cluster the plurality of feature vectors (), thereby yielding one or more clusters (); wherein each cluster () comprises a default feature vector () describing the different attributes of a default component placement request; determine a default placement decision () for each of the one or more clusters; and store the one or more default feature vectors and the respective one or more default placement decisions () in a database () of the computing device ().