Cloud computing is a major pattern for large data storage and analytics. The combination of cloud computing and IoT can enable the resource sharing more efficiently than individually handling them. In distributed systems, the resources are termed as cloud services and handled in a centralized way. However, new challenges arise when integrating cloud for IoT. This paper presents the architecture for integrating of cloud computing for Internet of Things and its issues. Cloud computing has long been recognized as a paradigm for big data storage and analytics. The combination of cloud computing and IoT can enable ubiquitous sensing services and powerful processing of sensing data streams beyond the capability of individual “things”, thus stimulating innovations in both fields. With the trend going on in ubiquitous computing, everything is going to be connected to the Internet and its data will be used for various progressive purposes, creating not only information from it, but also, knowledge and even wisdom. Internet of Things (IoT) becoming so pervasive that it is becoming important to integrate it with cloud computing because of the amount of data IoT’s could generate and their requirement to have the privilege of virtual resources utilization and storage capacity, but also, to make it possible to create more usefulness from the data generated by IoT’s and develop smart applications for the users. For example, cloud platforms allow the sensing data to be stored and used intelligently for smart monitoring and actuation with the smart devices. Novel data fusion algorithms, machine learning methods, and artificial intelligence techniques can be implemented and run centralized or distributed on the cloud to achieve automated decision making. These will boost the development of new applications such as smart cities, grids, and transportation systems.
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