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
On June 20th, the Institute of Communication and Computer Systems organized a webinar in order to disseminate the DITAS outcomes targeting the academic, scientific and developers community. During the webinar, was presented an overview of the project, focusing on the...read more
Fog computing is more and more emerging as a paradigm for developing and deploying solutions able to balance between the scalability offered by cloud based environments and the reduced latency guaranteed by the resources on the edge. For this reason, the Fog...read more
In the context of DITAS, A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems journal has been published. This journal analyzes and implements techniques for Data gathering, analysis, treatment and quality...read more
DITAS Project is pleased to announce a series of two webinars for end-users to learn more about the technologies developed within DITAS project and implemented in the two project use cases. The case studies that have been adopted in DITAS project refer to two...read more
On June 24th in Prague, in conjunction with the ICFC (International Conference on Fog Computing) DITAS has organized the first edition of the DAMOVE Workshop. A venue where researchers and practitioners have the opportunity to present and discuss their ideas and...read more
The 30th Edition of the CAiSE conference series was hosted on June 11-15 in Tallinn, Estonia – home to a groundswell of IT startups and to one of the most advanced digital societies. The conference continues its tradition as the premiere venue for innovative and...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).