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
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
The Smart heating in collaborative and reasoning-enabled housing units journal analyzes and implements techniques for extracting knowledge from raw data coming from sensors that are deployed in the edge of the network. This was achieved following the paradigm of the...read more
The M22 meeting of DITAS project, scheduled for October 23-24-25 at the INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS facilities in Athens, will bring together the 8 project partners in order to share the work carried out until now and coordinate the next few months...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
The Cloud Control Workshop is a high-profile workshop with participation by invitation only, targeting academic and industrial technology researchers and leaders from all around the world. The aim of the 13th Cloud Control Workshop is to foster multidisciplinary...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
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).