Micro Grids for Scalable Media Computing and Intelligence in Distributed Scenarios

Pierfrancesco Bellini, Ivan Bruno, Paolo Nesi, Daniele Cenni
2012 IEEE Multimedia  
The micro grid technology is playing a central role in the semantic evolution of small and medium size services. These flexible applications allow enforcing new functionalities and intelligence into complex and integrated solutions by supporting automated content processing and back office management, controlling content delivering networks, providing services via active and proactive applications on client devices. To this end, they have to provide high flexibility and scalability and a range
more » ... f features which in the past were unaffordable for small and medium service portal providers, while being available only on large integrated platforms. A solution can be to enforce flexibility and media computing capabilities into micro grid by using a media grid computing language for formalizing processes to produce, post-produce, license and deliver content while meeting a range of scenarios' requirements. The usage of a media language improves the level of automation in services and applications. This article presents the main requirements and architectures of micro grids for media and semantic computing, and for media grid languages. Semantic computing primitives may be also enforced into final user tools to provide local semantic search, recommendations: a real personal assistant. The experience reported herein has been gained in several years of work in the sector. research interests include object-oriented technology, real-time systems, formal languages, computer music. Bellini received a PhD in electronic and informatics engineering from the University of Florence, and has worked on projects funded by the European Commission such as: ECLAP, AXMEDIS, MOODS, WEDELMUSIC, IMUTUS, MUSICNETWORK, VARIAZIONI and many others. He has been co-editor of MPEG SMR. Ivan Bruno is a contract Professor at the University of Florence. His research interests include grid computing, image processing, semantic computing, and audio processing. Bruno received a PhD in electronic and informatics engineering from the University of Florence, and has worked on projects funded by the European Commission such as: ECLAP, MOODS, WEDELMUSIC, IMUTUS, MUSICNETWORK, AXMEDIS and many others. Daniele Cenni is with Department of Systems and Informatics of the University of Florence. His research interests include social networks, semantic database, semantic computing, and clustering. Cenni received a degree in informatics engineering from the University of Florence, and has worked on projects funded by the European Commission such as: ECLAP, AXMEDIS and VARIAZIONI. Paolo Nesi is a full professor at
doi:10.1109/mmul.2011.55 fatcat:7quncb6ti5ha3g6pt6de2dbw6m