A CBR MAC/FAC Approach for Cloud Management

Abstract

In modern working world, efficiency is important. This includes the execution of workflows. Cloud computing offers is costumers, pay as you go pricing models which can be used to improve the cost efficiency of workflows execution. To benefit form this pricing model, a smart cloud management concept to assign tasks to cloud resources is required. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility. In this paper we present our CBR approach with MAC/FAC similarity function and experiments for task placements in cloud computing. Therefore we implemented a prototype and compared the results with the results of human experts.