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2019
The deliverable D8.1, "Piloting Plan", aims to give a general scope of the activities that will be undertaken during the project lifetime under the pilots, a report documenting the plan for the development and execution of the pilots and the methodology and materials for the pilot trials. The objective of this deliverable is to provide, in the first part, generic guidelines to all the pilots that will constitute instantiations of the use cases that have already been identified in WP2. Updated versions of this deliverable, including refined piloting plans, are due to M15 and M24 of the project lifetime. Deliverable D8.1, "Piloting Plan", is based on the individual plans of the following pilots: Table Grapes Pilot (AUA), Wine Making Pilot (INRA), Farm Management Pilot (ABACO & Geocledian), and Natural Cosmetics Pilot (APIGEA). This document reports tailored guidelines and concludes with a detailed overview of the planning for each of the four pilots. Information wa...
2019
The deliverable D2.1, "Use Cases & Technical Requirements Specification", aims to give the outline, specify and present in detail the use cases that will be examined and undertaken during the project lifetime. It is a report documenting the use cases and the different scenarios and hypotheses that derive from them, which are directly linked and related to the BigDataGrapes pilots. More specifically, this deliverable provides the methodology that was followed by the project partners in order to define and categorize the use cases, the interpretation of the use cases with respect to their technical and infrastructural requirements, since each use case elicits to specific software requirements in terms of functionality, expected performance and required equipment. The document is structured as follows. Chapter 1 serves as an introduction to the deliverable whereas Chapter 2 provides an overview of the use cases with details on the methodology which was followed in order to de...
2021
This document provides an overall guidance methodology for the pilot execution in the first iteration of <em><strong>TheFSM </strong></em>pilots. It sets out the whole process of developing and conducting a pilot and provides for each step a guidance on how to execute these activities. A pilot consists of the following different steps: i) creation of a pilot plan, including a Data Management Handling Plan (DMHP), ii) preparation of the pilot, iii) deployment and testing of the pilot, iv) evaluation of the pilot results, v) making adaptations to the product tested in the pilot, vi) piloting the new revised product and vii) finalisation of the product. For all <em><strong>TheFSM </strong></em>applications (i.e., FOODAKAI 2.0, Agrivi 2.0, and FOODINSPECTOR), each of these steps is described in detail including materials that are needed and made specific for the applications to be tested in the pilots. In addition, for each pilot and appli...
2018
This report presents the BigDataGrapes project vision and ambition and summarises the project's advancements achieved during the first year of its execution. Its target audience comprises representatives of external interested communities as well as the general public. The document summarizes the technical and implementation details of the BigDataGrapes infrastructure, describes the technical choices and the rationale behind them, and discusses the research and scientific particularities faced by each of the BigDataGrapes pilots. More specifically, the document establishes the main objectives of the BigDataGrapes project and summarizes the core outcomes of the four pilot communities represented in the project. Based on these two axes, the technical advancements achieved during the reporting period are contextualised and discussed at a high level. Finally, the report concludes with the presentation of the foreseen next steps and the progress to be achieved during the upcoming sec...
2021
This document provides an overall guidance methodology for the pilot execution in TheFSM<br> project. It sets out the whole process of developing and conducting a pilot and provides for each<br> step a guidance on how to execute these activities in an optimal manner. A pilot consists of the<br> following different steps: i) creation of a pilot plan, including a Data Management Handling Plan<br> (DMHP), ii) preparation of the pilot, iii) deployment and testing of the pilot, iv) evaluation of the<br> pilot results, v) making adaptations to the product tested in the pilot, vi) piloting the new revised<br> product and vii) finalisation of the product. Each of these steps is described in detail including<br> materials that are needed and made specific for the applications to be tested in the pilots. In<br> addition, for each pilot and application a local DMHP will also be developed. An outline for such<br> a DMHP is provided and it de...
2021
The BigDataStack project was conceived as a data centric environment, integrating approaches for Data as a Service (DaaS). The data services of this environment are naturally at the core of BigDataStack and are covered in this deliverable in terms of design specification as well as in terms of integration and experimentation outcomes (i.e. prototypes evaluations). An initial demonstration of the capabilities offered by the data services has been performed during the interim review of the project, in which all the components have been integrated and interacted to demonstrate their added-value and innovations in the scope of the real-time ship management use case.
2020
This deliverable presents Scientific Report and Prototype Description for the work carried out in the first year of the BigDataStack project, related to the so-called Data-Driven Infrastructure Management capability of the BigDataStack platform. The document shows how the implementation of the solution is planned to be delivered following an incremental and iterative methodology, having cycles of implementation and experimentation. The document describes: the high-level assumptions and architecture of the capability, as well as detailed requirements, design and prototypes per component; the experimental use case scenarios and plans, as well as the experimental plan per component and its mapping with the use case scenarios.
2014
This report is summary of the pilot-phase of the NewWoW project. The report introduction presents shortly the project and the content of project in general. The six categories of new ways of working state-of-the-art report are presented in one picture. The objective of the whole NewWoW project is a set of eight research questions and five scientific goals. The total of six pilots have been selecting at least one research question and one scientific goal to qualify as project pilot. Also the "productivity task" of the project is presented side by side with pilots because of the important role in piloting and representing as a whole one of the research questions. The pilots and their relation to these objectives is summarized in one picture. The Pilots section is presenting the as individual extended summary in separate chapters. The chapters include the Pilots individual results or discussions highlighting the structure and the results based on the piloting partners choice. The last section is a compacted lessons learned of all the pilots replacing replacing the usual discussion. The lessons learned is a summary of all individual pilot representatives made in a workshop discussion. The final result of the common lessons learned is presented in one picture and short text of twelve main identified problems a sequence of: "1. identified problem, 2. proposed solution, 3. expected impact, 4. how to measure". The list is divided in the categories of "people, business, process, technology" with problems categorized respectively.
Le Centre pour la Communication Scientifique Directe - HAL - SHS, 2021
Developing Services for the Wireless Internet, 2006
Due to its recentness, the engineering of wireless Internet services lacks explicit experience based on quantitative data . No historical data exist on related technologies, techniques, and suitable software development process models. Some of the most critical consequences to be expected are unreliable project planning, incorrect effort estimates, and high risk with respect to process, resource, and technology planning. Under these circumstances, the quality of the target application turns out to be very hard to predict.
2017
This document reports on the development of a detailed plan on APOLLO pilot execution and methodology that will be followed in order to evaluate APOLLO platform. The methodology includes using evaluation criteria, namely user experience, user acceptance and benefits of using the APOLLO services that will be measured by a number of indicators. According to the adopted User Centered Design approach, the evaluation is a part of the development process aimed to ensure that the optimal final product ready for commercialization is delivered. Pilot will be executed in three phases: alpha, beta and pilot. The end users will be involved in trials and testing the platform in each of the phases while the platform itself will be gradually improved from one phase to the next according to the users' feedback and evaluation data. The report also defines the roles and responsibilities of the project partners, plan for training material design, ethical and legal issues and potential risks and mi...
2019
This report acts as a guideline for all activities related to the preparation and execution of CUTLER pilots. For each pilot city, we first briefly describe the pilot scenario, policy making challenges and the expected benefits from the use of the CUTLER platform. In Thessaloniki, the CUTLER platform will be used to plan, implement, monitor and evaluate the use of a new controlled parking system. In Antalya, CUTLER will be used to improve the touristic capabilities of the area surrounding Düden Brook Waterfalls by evaluating concrete measures and actions for accessibility, water usage, environmental protection and mobility. In Antwerp, the platform will be used to monitor and evaluate the Strategic Urban Waterplan of the city and the implementation of green streets and even steer new urban developments. Finally, Cork County Council will utilize the platform to facilitate evidence-based decisions for the touristic exploitation of Camden Fort Meagher, focusing on future access points ...
2020
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data operations and applications. BigDataStack's holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack's vision of openness and extensibility.
2018
This report presents how the first part of the pilot phase of the HNSciCloud Pre-Commercial Procurement project was organised and suggests a number of lessons that were learned during this period that may be useful in the continuation of the phase.
2021
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data operations and applications. The main objective of the dimensioning, modelling and interaction services building block of the overall BigDataStack environment is to provide all the interaction mechanisms, including the Process Modelling framework, the Data Toolkit, the Dimensioning Workbench, and the Visualization environment. These are required in order to exploit the added-value services of the "underlying" BigDataStack data-driven infrastructure management and the Data as a Service offerings.
2021
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data operations and applications. The main objective of the dimensioning, modelling and interaction services building block of the BigDataStack environment, is to provide all the interaction mechanisms, including the Process Modelling framework, the Data Toolkit, the Dimensioning Workbench, and the Visualization environment. These are required in order to exploit the added-value services of the "underlying" BigDataStack offerings: the data-driven infrastructure management and the Data as a Service.
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