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The Internet of Things (IoT) has gained much attention during the last decade. A novel aspect like context management is a fundamental requirement for development of such systems. In literature, there are different approaches enabling the context management for internet of IoT. This paper has both objectives: 1) firstly, it establishes a set of classification criteria: heterogeneity, mobility, the influence of the physical world, scalability, security, privacy, quality of context, autonomous deployment of entities, characterization multi scales, interoperability, context acquisition, context modeling, context reasoning, context distribution, design method, and tools of implementation; 2) secondly, it refers to the previous criteria to make a comparative study between the well known existing approaches. [ABSTRACT FROM AUTHOR]

• Atmosphere is a three-tier software architecture for IoT edge-fog-cloud computing. • Atmosphere benefits from Complex Event Processing and Agent-Oriented Software. • Two-way communications are allowed among the three tiers of the architecture. The Internet of Things (IoT) has grown significantly in popularity, accompanied by increased capacity and lower cost of communications, and overwhelming development of technologies. At the same time, big data and real-time data analysis have taken on great importance and have been accompanied by unprecedented interest in sharing data among citizens, public administrations and other organisms, giving rise to what is known as the Collaborative Internet of Things. This growth in data and infrastructure must be accompanied by a software architecture that allows its exploitation. Although there are various proposals focused on the exploitation of the IoT at edge, fog and/or cloud levels, it is not easy to find a software solution that exploits the three tiers together, taking maximum advantage not only of the analysis of contextual and situational data at each tier, but also of two-way communications between adjacent ones. In this paper, we propose an architecture that solves these deficiencies by proposing novel technologies which are appropriate for managing the resources of each tier: edge, fog and cloud. In addition, the fact that two-way communications along the three tiers of the architecture is allowed considerably enriches the contextual and situational information in each layer, and substantially assists decision making in real time. The paper illustrates the proposed software architecture through a case study of respiratory disease surveillance in hospitals. As a result, the proposed architecture permits efficient communications between the different tiers responding to the needs of these types of IoT scenarios. [ABSTRACT FROM AUTHOR]