The Internet of Things (IoT) will be a smart generator of data which support the Information Systems (IS) and Communication Technologies (CT). It offers the opportunity to exchange structured and unstructured data among devices in real time, to process data to be useful as information, from where we can extract out knowledge in this area. With M2M communication technology, IoT services can aims to understand connected devices reactions in order to optimize services and applications. IoT also is a technology which provides special service in cloud environment that can support storage, analyze and modeling IoT-Data phases. However, some resources (memory and CPU) in IoT, cloud and M2M communication systems are overloaded. Because of the different IoT-data features (source, nature and volume) as well as the way to manage this data in order to explain the complexity of IoT systems. In this review, we identify and describe the resources that are used in IoT Cloud environment. we study the possible scenarios that can help us to define relationships between IoT/CLOUD and M2M technologies. Further, we present the benefits of the information system and feature extraction technics that can be explored for the processes management of IoT-data.