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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. It brings to your
developer toolbox the best of Cloud & Edge worlds.
Contact our Project Coordinator (david.garciaperez@atos.net), visit
our website www.DITAS-project.eu or follow us on Twitter
@DITASproject.
Data Data can be stored and processed not only on
the cloud but also on more dynamic, numerous and
heterogeneous resources including various types of edge
devices (e.g., Raspberry PI, Intel Galileo, Arduino,
smartphones) and in more powerful devices (e.g. laptop,
small servers, cloudlets, and many others).
To properly manage this new ecosystem of connected things,
Simplified
environments
for
The initiative is being undertaken by global service providers Atos
(Spain), IBM (Israel) and Cloud Sigma (Switzerland); and European
companies IK4-DEKO (Spain) and Ospedale San Raffaele (Italy);
and researchers from leading European institutions like Politecnico
di Milano (Italy), Technical University of Berlin (Germany) and
Institute of Communications and Computer Systems (Greece).
DITAS Cloud Platform extends the classical IaaS with
an infrastructure able to offer computational and storage
resources, residing on both the edge and the cloud.
DITAS Practical Tools for
Data-Intensive Apps
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 powered
by DITAS Virtual Data Containers
DITAS
SDK
DITAS Virtual Data
Containers DITAS Execution
Environment
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 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.
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.

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Ditas Flyer v2.1

  • 1. 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. It brings to your developer toolbox the best of Cloud & Edge worlds. Contact our Project Coordinator (david.garciaperez@atos.net), visit our website www.DITAS-project.eu or follow us on Twitter @DITASproject. Data Data can be stored and processed not only on the cloud but also on more dynamic, numerous and heterogeneous resources including various types of edge devices (e.g., Raspberry PI, Intel Galileo, Arduino, smartphones) and in more powerful devices (e.g. laptop, small servers, cloudlets, and many others). To properly manage this new ecosystem of connected things, Simplified environments for The initiative is being undertaken by global service providers Atos (Spain), IBM (Israel) and Cloud Sigma (Switzerland); and European companies IK4-DEKO (Spain) and Ospedale San Raffaele (Italy); and researchers from leading European institutions like Politecnico di Milano (Italy), Technical University of Berlin (Germany) and Institute of Communications and Computer Systems (Greece). DITAS Cloud Platform extends the classical IaaS with an infrastructure able to offer computational and storage resources, residing on both the edge and the cloud.
  • 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 DITAS Execution Environment, a distributed execution environment responsible for running and controlling the behavior of the application powered by DITAS Virtual Data Containers DITAS SDK DITAS Virtual Data Containers DITAS Execution Environment 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 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. 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.