Simplified Information Logistics
for Cloud & Edge environments
DITAS Cloud Platform provides two main tools: DITAS SDK in charge of supporting design and deployment, and DITAS Execution Environment, a distributed execution environment responsible for running and controlling the behavior of the application
Practical Tools for Data Intensive Applications
DITAS SDK provides extensions of popular tools such as Node-RED to define applications.
The key element of this tool is to allow developers to design applications by specifying Virtual Data Containers (VDC s) and constraints/preferences for Cloud & Edge resources to be exploited.
Applications are then deployed satisfying all constraints based on developer’s instructions and the degree of freedom given by the VDCs.
DITAS Virtual Data Containers
VDCs provide an abstraction layer for developers so they can focus only on data, what they want to use and why, forgetting about implementation details. With VDCs applications can easily access required data, in the desired format and with the proper quality level, rather than directly searching for and accessing them among various data infrastructure providers.
At design-time, VDCs allow developers to simply define data requirements, quality and how important data is. At run-time, VDCs are responsible for providing the right data and satisfying requirements by hiding the complex underlying infrastructure composed of different platforms, storage systems, and network capabilities.
DITAS Execution Environment
DITAS EE is based on our powerful execution engine capable of managing a distributed architecture and taking care of data movement and computation, maintaining coordination with other resources involved in the same application.
DITAS EE also has a monitoring system capable of checking the status of the execution, track data movements, and collect all data necessary for understanding the behavior of the application.
Learn how DITAS technology can help you creating Data Intensive Applications for Cloud & Edge
Help us create better tools for Data Intensive Applications for Cloud & Edge
The DITAS project has released "Information Logistics and Fog Computing: The DITAS∗ Approach" into the Open Fog Consortium Research area. The paper describes the DITAS foundations, where applications live in a Fog Computing environment, where data moves from the cloud...read more
The M10 meeting of DITAS project, scheduled for October 24-26 at the IBM facilities in the Technische Universität Berlin, will bring together the 8 project partners in order to share the work carried out until now and coordinate the next few...read more
Net Futures 2017 conference, the place to discuss about the internet, the economy and society in 2027 has started! For two days, it is bringing together the most important actors in the scope of Internet. Early today, the Concertation meeting of 2020 projects from...read more
On July the 20th, 2017, members of DITAS project participated in a workshop that was co-organized by the Center for Security Studies – KEMEA - (http://www.kemea.gr/en/), the National Center for Scientific Research “DEMOKRITOS”...read more
NET FUTURES 2017 will host the Concertation meeting of H2020 projects under "Cloud and software" unit. The NET FUTURES edition in 2017 will serve as a wake-up call for policy makers and technologist alike, for civil society and the young whose future we will...read more
There is an increasing need to develop data intensive applications able to manage more and more amounts of data coming from distributed and heterogeneous sources effectively, quickly, correctly, and securely. This data abundance offers new opportunities but also...read more
DITAS project (Data-intensive applications Improvement by moving daTA and computation in mixed cloud/fog environmentS) project has been undertaken by global service provider Atos (Spain) and IBM (Israel); the European Cloud Provider CloudSigma () and European companies IK4-IDEKO (Spain) and Hospitalle San Raphaelle (Italy); and researchers from Politecnico di Milano (Italy) and the Technical University of Berlin (Germany).