Internet of Things (IoT) is a platform and a phenomenon that allows everything to process information, communicate data, analyze context collaboratively and in the service or individuals, organizations and businesses. In the process of doing so, a large amount of data with different formats and content has to be processed efficiently, quickly and intelligently through advanced algorithms, techniques, models and tools. This new paradigm is enabled by the maturity of several different technologies, including the internet, wireless communication, cloud computing, sensors, big data analytics and machine learning algorithms.
Big Data is another paradigm to describe processing of data to make it 'make sense' to people using IoT. Big Data has five characteristics: volume, velocity, variety, veracity and value. There are reports that businesses and research communities equipped with Big Data skills can provide additional incentives, opportunities, funding and innovation to their long-term strategies. The new knowledge, tools, practices, and infrastructures produced will enable breakthrough discoveries and innovation in physical science, engineering, mobile services, medicine, business, education, earth
science, security and risk analysis. For organizations that adopt Big Data, the boundary between the use of private clouds, public clouds, IoT is sometimes very thin to allow better access, performance and efficiency of analyzing the data and understanding the data analysis. A common approach is to develop Big Data in the IoT to deliver "Everything as a Service". In the process of doing so, innovative services known as "Emerging Services and Analytics" can be the highlight and strategic solutions to organizations adopting IoT and Big Data.
1. Big data research
2. Emerging services and analytics
3. Internet of things (iot) fundamentals
4. Internet of things (iot) applications
5. Big data for multi-discipline services
6. Security, privacy and trust
7. Iot technologies
04月24日
2017
04月26日
2017
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