A first architecture document for DITAS focusing on (1) market analysis, (2) an update to the state of the art as the base for the project, (3) an initial business requirements, (4) a high-level architecture for the project, and (5) high-level verification and validation approach ... Executionenvironmentarchitecturedesign This deliverable ...
Images for DITAS Execution environment architecture design
An execution engine able to support the execution and the adaptation of data-intensive applications. This is done through computational movement and the applications are distributed among on-premises and on cloud resources. An Auditing and Compliance framework which will enforce data security and privacy policies across the DITASarchitecture.
The definition of an architecture which provides a uniform and easy access to data was key objective. Definition and design of the main components of the two main blocks composing DITAS have been also performed during this period (Software Development Kit and ExecutionEnvironment) along with data management and data movement strategies.
An executionenvironment (EE) where the deployed VDCs and DIA operate. The next paragraphs detail the steps that compose the data-intensive application life cycle, as shown in Fig. 12.4. In particular, we have identified two main phases: the design and development phases, which take advantage of the DITAS-SDK and the execution phase which ...
Author:Pierluigi Plebani, David Garcia-Perez, Maya Anderson, David Bermbach, Cinzia Cappiello, Ronen I. Kat...Published:2018
DITAS: Unleashing the Potential of Fog Computing 155 Fig.1. Data-intensive application model According to this scenario, the DIAS project 1 aims to provide a Cloud platform composed of a Software Development K (K and an ExecutionEnvironment (EE) to [4] (i) simplify the design and the development of I in
The goal of DITAS is to propose a framework, composed by an SDK and an executionenvironment, which aims to overcome the barriers that now hamper the adoption of Cloud Computing and increase the adoption of Fog computing by exploiting the full potential of these two paradigms in a synergic way.
DITAS Cloud Platform allows developers to design data-intensive applications, deploy them on a mixed cloud/edge environment and execute the resulting distributed application in an optimal way by exploiting the data and computation movement strategies, no matter the number of different devices, their type and the heterogeneity of runtime environments.
Data-intensive applications are becoming very important in several domains including e-health, government 2.0, smart cities, and industry 4.0. In fact, the significant increase of sensor deployment in the Internet of things (IoT) environments, in
2. DITAS Practical Tools for Data-Intensive Apps DITAS Cloud Platform provides two main tools: DITAS SDK in charge of supporting design and deployment, and DITASExecutionEnvironment, a distributed executionenvironment responsible for running and controlling the behavior of the application powered by DITAS Virtual Data Containers DITAS SDK DITAS Virtual Data Containers DITASExecution ...
Information about the Horizon 2020 project "DITAS: Data-intensive applications Improvement by moving daTA and computation in mixed cloud/fog environmentS (2017)" - open-H2020 observatory.
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