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In recent years, the development of Cloud and Internet of Things (IoT) integrated applications are becoming more and more popular among developers, and this combined system is described as Cloud of Things (CoT). Cloud of Things can be utilized for finding optimal solutions for various problems. CoT is one of the essential methods for the construction and development of smart cities. With the installation of CoT based technologies, people can be able to check, control environmental parameters through intelligent embedded devices. In this paper, we present a CoTarchitecture based on proxy using Peer to Peer (P2P) connectivity for interworking IoT devices and Cloud. Proposed Cloud of Things architecture supports IoT devices’ contextual data transformation to the Cloud-based on P2P connectivity using Open Connectivity Foundation (OCF) IoTivity and Message Queuing Telemetry Transport (MQTT) protocol. The proposed system provides a collection of huge sensing information via Internet of Things devices and upload gathered data to Cloud for further analyzation. The proxy can acquire sensor data from the Internet of Things networks and then publish the data as messages to the subject in Internet of Things global Cloud. Moreover, this Cloud of Things architecture supports the peer to peer internetworking for communication of client devices and embedded devices. Finally, we also compared the IoT service of global Cloud platforms in CoT experiments.

Recently, Clouds are wildly used for huge data repository and Internet services in various fields. And IoT networks collect a context data and support the monitoring and control services using thing virtualization. We will build the connection between IoT and cloud, it is very useful, and supports intelligent services based on huge context data. This paper presents the comparison analysis of IoT services based on Clouds for huge context acquisition in large scale IoT networks. And, we develop AWS, Azure, and Google cloud based on IoT, and compare the IoT service of AWS, Azure, and Google Cloud by sending sensing data messages from IoT devices. The comparison helps users to choose easily IoT service based on Cloud. Hence, it is necessary to collect the context data easily and extract useful part for information analysis and usage in Cloud based on IoT.