Eduardo Huedo

TL;DR: A new Globus based framework that allows an easier and more efficient execution of jobs in a ‘submit and forget’ fashion and is currently functional on any Grid testbed based on Globus because it does not require new system software to be installed in the resources.

TL;DR: This paper presents a new tool that hides the complexity and dynamicity of the Grid from developers and users, allowing the resolution of large computational experiments in a Grid environment by adapting the scheduling and execution of jobs to the changing Grid conditions and application dynamic demands.

TL;DR: The modular architecture of the GridWay meta-scheduler is described, which allows the simultaneous and coordinated use of pre-WS and WS GRAM services and, therefore, makes easy the transition to a Web Service implementation of the Globus components.

TL;DR: A decentralized model for scheduling independent tasks in Federated Grids that consists of a set of meta-schedulers on each of the grid infrastructures of the Federated Grid to improve two of the most common objective functions of task scheduling problems: makespan and resource performance.

TL;DR: A novel predictive auto-scaling mechanism based on machine learning techniques for time series forecasting and queuing theory that aims to accurately predict the processing load of a distributed server and estimate the appropriate number of resources that must be provisioned in order to optimize the service response time and fulfill the SLA contracted by the user.