Towards a Self-Adaptive Data Management System for Cloud Environments
Recently, important academic and industrial actors, such as Google, Amazon or Yahoo!, have started to investigate Cloud computing, an emerging paradigm for managing computing resources. Various Cloud computing infrastructure platforms have been proposed as alternatives for clusters or grids, which are the typical infrastructures for large-scale distributed applications. These kinds of applications are usually critical in various fields like high-energy physics, climate modeling or bio-informatics. As data volumes generated and processed by these applications increase, a key requirement that directly impacts the adoption rate of the Cloud paradigm is efficient and reliable data management.