Computing world has dramatically changed over the last decades. Intelligently linking or connecting the everyday objects or devices like sensors, TV, smart phones and actuators to the internet (World Wide Web) to enable them to communicate with each other and with people, is described as Internet of Things (IoT). Size of the networks, in terms of connected devices, and their applications are increasing at tremendously fast pace. IoT enabling devices are usually deployed in an unattended place and have resource limitations like processing power, storage capability and battery power. These devices produce massive data for different progressive purposes that need to be processed and stored somewhere. Local data storage and complete processing of massive data may not be possible by resource constrained IoT (Internet of Things) enabling devices any more in the future. So there is need of rental data storage space and processing capabilities to meet the desired goals. Cloud computing is the possible solution to circumvent the limited data storage and computation issues of IoT. Main objective of this research is to integrate the cloud computing and IoT that will ultimately lead to the solution of limitations of IoT enabling devices. To achieve the goal of IoT and cloud integration in an effective and graceful manner, various IoT and CoT (Cloud of Things) architectures are studied. Strengths and weaknesses of studied IoT and CoT architectures are comprehensively analyzed on the basis of carefully selected four parameters namely: device segregation on the basis device resources, network segregation on the basis of communication range, security solutions and cloud connectivity. An IoT and cloud computing integrated service oriented architecture for cloud of things (SOA for CoT) has been proposed in this research.