Micro Grids for Scalable Media Computing and Intelligence in Distributed Scenarios

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 of 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.