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Projects

Current Projects

  • Cloud Computing

  • Scientific Computing on the Cloud

  • 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.
  • Stratus
    Distributed computing framework for large scale scientific applications and simulations
  • Aneka Cloud
    Collaboration with The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne for utilizing Aneka Cloud for scientific computing
  • Desktop to Cloud Migration (D2CM)
    Tool for directly migrating applications to the cloud
  • NEWT
    A fault tolerant BSP framework on Hadoop YARN
  • DAMA
    Dynamic Algorithm Modeling Application for choosing the most suitable distributed computing frameworks
  • Mobile Cloud

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.

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.

  • Mobile Web Services

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.

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.

  • Mobile Computing

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.

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.

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

  • Internet of Things (IoT)

    • 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.

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.

Interconnecting the physical things to IoT systems in an energy-efficient manner.

This project aims to address the integration-related challenges involved in applying Fog Computing in edge network of the Internet of Things (IoT) systems.

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.



 

Finished Projects

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.

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