Projects

RADON

Rational decomposition and orchestration for serverless computing ( RADON ) project is aimed at creating a DevOps framework to create and manage microservices-based applications that can optimally exploit serverless computing technologies. University of Tartu is specifically interested in developing tools that facilitate in designing and orchestrating data pipeline applications that involve serverless entities.
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Energy-Efficient Internet of Things

Interconnecting the physical things to IoT systems in an energy-efficient manner.
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Middleware, Trust and IoT Applications

The goal of this project is to overcome the challenges of cyber-physical systems in the Internet of Things. The challenges include: interoperability, autonomous machine-to-machine communication, automatic configuration, energy efficiency, trustworthiness etc.
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Big Data Internet of Things

Investigate, develop and validate an adaptive middleware-based management system that can provide a reliable, scalable and cost-efficient linkage to leverage IoT with Big Data cloud. As part of the project we are participating in Estonian Centre of Excellence in ICT Research (EXCITE).
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Sensor Data and Image Processing

Investigates the efficient transportation of sensor/multimedia data to the cloud and its processing (parallel algorithms) by applying sophisticated mining techniques.
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Asynchronous Notification Services for Mobiles (ANSM)

Analyzes the adaption of new reliable, flexible and scalable mechanisms (e.g. XMPP) for real-time communication in mobile-to-cloud and cloud-to-mobile scenarios.
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DAMA

Dynamic Algorithm Modeling Application for choosing the most suitable distributed computing frameworks
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IoT and Smart Solutions Lab

The goal of the project is to acquire infrastructure and establishing the IoT and Smart Solutions Lab, with industry cooperation. The lab will facilitate the students in experimenting with the respective devices and design innovative projects in driving the Estonian startup culture forward.
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WiseWare

A platform for Goods Monitoring in Industrial IoT. This platform enables de-centralized, long-running IoT monitoring tasks by using Business Process Management System software and mobile devices.
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Migrating Enterprise Applications to the Cloud

This project aims to provide a complete framework for enterprise application providers to have their applications migrated and auto scaled on the cloud.
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NEWT

A fault tolerant BSP framework on Hadoop YARN.
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Aneka Cloud

Collaboration with The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne for utilizing Aneka Cloud for scientific computing
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REMICS

REMICS is an EU FP7 project. The goal of REMICS is to develop advanced model-driven methodology and tools for REuse and Migration of legacy applications to Interoperable Cloud Services.
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Pervasive Mobile Applications

Focuses on creating mobile applications (e.g. native, cross-browser, etc.) that involves the utilization of user context monitoring techniques (e.g. sensors), readable machine objects (QR-codes), environmental electromechanical appliances (e.g. Arduino) among others.
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Desktop to Cloud Migration (D2CM)

Desktop to Cloud Migration (D2CM) Tool for directly migrating applications to the cloud
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Stratus

Distributed computing framework for large scale scientific applications and simulations.
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ROBO M.D.

EU INTERREG IVC funded “ROBO M.D. - Home care robot for monitoring and detection of critical situations” project.
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Mobile Cloud Applications

Studies the development of mobile applications (e.g. Android, iOS, Windows Phone 7 among others) that utilize data-intensive processing from the cloud and analyzes when to offload tasks to the cloud. Moreover, examines the use of new technologies such as HTML 5 for handling time-consuming operations from the mobile.
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Mobile Cloud Middleware

Focuses on empowering the mobile applications functionality by combining a diversity of cloud services (e.g. from the infrastructure level, platform level, etc.) located on different clouds (e.g. public, private, etc.) for achieving a common operation (aka multi-cloud operation) without overloading the mobile resources.
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SciCloud

SciCloud project studies the establishment of private clouds, migration and execution of scientific computing applications on the cloud, and adapting scientific computing problem/algorithms to frameworks amicable to the cloud like the MapReduce.
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Mobile Host

Mobile Host enables the provisioning of Web Services from mobile devices in a scalable and reliable fashion. In addition, Mobile Host aids in the orchestration of mobile-cloud-services by supporting a scalable and efficient asynchronous communication mechanism.
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Mobile Web Service Discovery

The project aims to develop an efficient and effective discovery mechanism to reduce the bottlenecks and to proceed with the mobile web service provisioning and invocation with success.
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