Inspired by the emerging
challenge, in this paper we provide
a comprehensive framework for modeling and managing time bound constraints in data-intensive Grid and Cloud infrastructures
, along with its experimental assessment and analysis. We provide both conceptual and theoretical contributions of the proposed framework, along with a
, that solves all possible instances of the problem underlying the proposed framework by exploiting a suitable
. As we demonstrate throughout the paper, the framework keeps several aspects of research innovations that are beneficial in a wide range of application scenarios.