State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing

By Manuel Fernando Lopera Diaz, Cristian Martín, Bartolomé Rubio. Journal of Network and Computer Applications, 2016

659 citations recorded by the source corpus.

The Internet of Things (IoT) is a paradigm based on the Internet that comprises many interconnected technologies like RFID (Radio Frequency IDentification) and WSAN (Wireless Sensor and Actor Networks) in order to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. However, the limitations of associated devices in the IoT in terms of storage, network and computing, and the requirements of complex analysis, scalability, and data access, require a technology like Cloud Computing to supplement this field. Moreover, the IoT can generate large amounts of varied data and quickly when there are millions of things feeding data to Cloud Computing. The latter is a clear example of Big Data, that Cloud Computing needs to take into account. This paper presents a survey of integration components: Cloud platforms, Cloud infrastructures and IoT Middleware. In addition, some integration proposals and data analytics techniques are surveyed as well as different challenges and open research issues are pointed out.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/e2e4ff38cb02c325a606d415705d6b7d7011b07b

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Citations in the corpus

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “smart devices and has unlimited storage capacity [69].”
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, methodology): “Figure 1 introduces the key elements of the future of Internet processing paradigm (Granell et al. 2016; Díaz et al. 2016) which will impact on different applications such as healthcare applications.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “Fog computing brings cloud computing closer to Internet of Things (IoT) devices [2].”
How Can Heterogeneous Internet of Things Build Our Future: A Survey (2018, background): “Besides, researchers investigate the new technology and issues about IoT that are data fusion and service-oriented framework [40], [41], context awareness techniques [45], [46], cloud computing [43], [44], industrial applications [29], [30], etc.”
Bibliometric Analysis on Smart Cities Research (2019, background): “Literature reviews on smart-city-supporting technologies such as BD, Cloud Computing and Edge Computing were also abundant [18–20].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “3) Cloud Service Surface: Cloud computing provides a set of innovative services that are introduced to offer access to stores and processes for obtaining information from anywhere and at any time; accordingly, the requirement for hardware equipment is either limited or eliminated [100].”
Secure integration of IoT and Cloud Computing (2018, background): “Finally, the [22] presents a survey of integration components: Cloud platforms, Cloud infrastructures and IoT Middleware.”