Francisco Guevara Hernández

TL;DR: By addressing the whole service life cycle, taking into account several cloud architectures, and by taking a holistic approach to sustainable service provisioning, the toolkit aims to provide a foundation for a reliable, sustainable, and trustful cloud computing industry.

TL;DR: This work focuses on the three complementary cloud management problems of predictive elasticity, admission control, and placement (or scheduling) of virtual machines, and proposes an approach to optimize the overall system behavior by policy-tuning for the tools handling each of them.

TL;DR: It is argued that the workflow execution environment, the model of computation (MoC), and the workflow language form three dimensions that must be considered depending on the type of interoperability sought: at the activity, sub-workflow, or workflow levels.

TL;DR: This paper presents the architecture of a scalable and flexible cloud environment addressing the challenge of providing data-intensive storage cloud services through raising the abstraction level of storage, enabling data mobility across providers, allowing computational and content-centric access to storage and deploying new data-oriented mechanisms for QoS and security guarantees.

TL;DR: This work proposes and illustrates a policy-driven approach where a high-level management system monitors overall system and services behavior and adjusts lower level policies for optimization towards the measurable business level objectives.