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One of the key problems in migrating multi-component enterprise applicationsto Clouds is selecting the best mix of VM images and Cloud infrastructureservices. A migration process has to ensure that Quality of Service (QoS)requirements are met, while satisfying conflicting selection criteria, e.g.throughput and cost. When selecting Cloud services, application engineers mustconsider heterogeneous sets of criteria and complex dependencies acrossmultiple layers impossible to resolve manually. To overcome this challenge, wepresent the generic recommender framework CloudGenius and an implementationthat leverage well known multi-criteria decision making technique AnalyticHierarchy Process to automate the selection process based on a model, factors,and QoS requirements related to enterprise applications. In particular, weintroduce a structured migration process for multi-component enterpriseapplications, clearly identify the most important criteria relevant to theselection problem and present a multi-criteria-based selection algorithm.Experiments with the software prototype CumulusGenius show time complexities.

CloudGenius: Automated Decision Support for Migrating Multi-Component Enterprise Applications to Clouds