OpenZoo is an open-source, MIT licensed, distributed, stream/batch processing framework. OpenZoo enables the development of processing topologies with minimum configuration on easy-to-use User Interfaces. Multiple languages and cross-platform support enables the creation of complex topologies, deployed either in cloud infrastructures or shared in available PCs in a lab environment. The current distribution consists of a java service template, a management GUI and several test services for demonstrating the use of the framework. Templates for C++ and Python will be soon available.


OpenZoo offers the following core functionalities:

  • Remote deployment of services
  • Basic classes for service registration, intercommunication and monitoring
  • Load balancing through the usage of queues
  • Data storage
  • Data caching
  • Easy service topology creation and management
  • Transparent allocation of available resources
  • Easy exchange of components
  • One touch creation of service wrappers
  • Abstraction layer over communication, persistence, caching, etc.
  • Schema-free JSON as message exchange format


A wide range of applications can be developed on top of OpenZoo:

  • Real time search and analytics applications
  • Streaming and batch processing frameworks
  • Distributed and scalable architectures

Success cases

OpenZoo has been tested as a real time search and analytics framework, based on images shared through Twitter, during the CUbRIK project. It was running for over a year, distributed on several (8-15) servers, processing millions of tweets per week. It is currently used as a video processing framework, part of the Big Data oriented LASIE project, extracting visual features out of Gigs of video. In the near future, it is going to be used in a mixture of the above mentioned cases, retrieving social media content, including video, during the TRILLION project.


OpenZoo supports Windows (tested on XP and Win7) and Linux (tested on Ubuntu 14.04 LTS). It uses MongoDB for persistence, RabbitMQ as a communication medium and RedisIO for exchanging parameters. Services are running on Tomcat (tested on Tomcat 7). Currently, only Java is supported for service development. C++ and Python service templates are the next major milestone.

Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr