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 constitutes a timely research challenge as allocation and optimization of (often virtualized) resources is many times done in isolation or with poor interaction. In this paper we propose a framework that adapts a cloud-based software application by providing an enhanced assembly of resources using the Pareto-optimal solution to optimize the resource allocation with tight cooperation between the cloud layers.