Abstract:
The tremendous continued increase of connecting different devices (things) fitted with sensors and actuators to different networks using different technologies produce huge amounts of data that will require the availability of increased storage and processing power that will be provided by mobile cloud computing systems. The development of the internet of things paradigm has led to a research on machine to machine communication and this has allowed more sources of data to be collected and held for longer times in order to be processed by powerful cloud based applications and big data techniques. Therefore there is no existing way how the huge amount of data produced by the internet of things are going to be handled and used by mobile devices that will communicate both in real time and non real time leading to heterogeneity and non- interoperability issues. The above problem may be solved through designing reference architecture for handling big data using Mobile Cloud Computing and Internet of Things that will lead to their integration hence allowing the heterogeneity and interoperability of various devices. The benefit of this project is that the designed service level architecture will represent the integration of big data, Mobile Cloud Computing and Interne of Things. It will also indicate how they (BD, MCC & IOT) will communicate hence achieving the targeted audience‟s goals of attaining integration, heterogeneity, scalability, and interoperability to all different services involved. In conclusion, the designed architecture will handle big data using mobile cloud computing and Internet of things consequently achieving the integration of the three new innovative technologies ie Big Data, Mobile Cloud Computing & Internet of Things resulting in both the scalability and interoperability of different devices produced by different vendors.
