Description of an optimization method obtained through Use Case #4 to increase an airline’s ancillary revenue by dynamically computing individual optimal prices.
This document shows the measures implemented by the PROCESS for the future exploitation towards the end the project and beyond (up to 12 months after) and the related actions to generate sustainable impacts.
Overview of the development at the second year of the PROCESS project,showing progress of use cases in relation to the previous deliverable D2.1.
Update of the architecture and evaluation, describing thecritical changes introduced to PROCESS architecture since the release of deliverable 4.2.
This document shows the second prototype of the project, consisting of the extensions made to the Interactive Execution Environment (IEE) and related components, with two applications (multi-site support HPC and Cloud environment).
It is reported the progress of all five PROCESS use cases describing their current status and the integration plan with the PROCESS infrastructure as a whole though concrete scenarios showing how they are progressing towards their final goal planned at the end of the project.
The requirements analysis and the PROCESS architecture (elaborated during 6 months) were revised together with validation of the first PROCESS platform prototype.
This deliverable includes an update of the Data Management Plan (DMP) of the project, focusing on refining the outlooks of the service pilots and the use cases they serve.
This document provides an initial demonstrator of the data services, which works in cooperation with the computation services demonstrated in D6.1. The demonstrator is based on the design of the PROCESS data infrastructure described in D5.1.
Description of the initial prototype of PROCESS tools and services: with demonstration, initial prototype of the data orchestration system and tools, the first PROCESS user interface portal as well as an initial benchmark set.
The fundamental architectural components of the PROCESS architecture, aiming at a highly modular infrastructure which can be easily adapted to various HPC and Cloud storage technologies and protocols.
The different design options for the data infrastructure for extreme-large datasets (Delivery and Storage) and ranks them based on their ability to fulfill the requirements of the use cases of the project.
The initial measures implemented by the PROCESS team to pave the way for the future exploitation of the project results and the consequent generation of sustainable impacts.
Requirements analysis of the use cases, an initial state of the art, and a description of the initial architecture of the PROCESS project.
Summarizing the processes to ensure the project’s deliverables and other outputs are of high quality and suitable for their intended purposes, includes the first version of PROCESS’s Data Management Plan.