Adapting Cloud-Based Applications Through A Coordinated and Optimized Resource Allocation Approach

Cloud computing is getting an enormous popularity for software companies as a way to save and optimize the cost of large hardware and software infrastructure organizations demand. Also, the cooperation between cloud layers (SaaS, PaaS, IaaS) constitute a timely research challenge as allocation and optimization of resources, often virtualized, is many times done in isolation or with poorly interaction. In this paper we propose a framework that adapts a cloud-based software application by providing a better assembly of resources using the Pareto-optimal solution to optimize the resource allocation with tight cooperation between the cloud layers.