Big Data Analytics and Management in Internet of Things

Dear Colleagues,

Big data analysis refers to the extraction of hidden relationships and associations of data in a deterministic or stochastic manner. Such data can be collected from end nodes of a complex infrastructure built along the lines of the modern Internet of Things (IoT) paradigm. Further, the data may be stored and processed in a distributed manner on the end or intermediate nodes. The data analysis is a challenging task because of many factors, with first and foremost, the sheer size of the datasets. Moreover, the fast data collection or update rate poses additional stress on the management and the analysis techniques.

In this Special Issue, we are seeking approaches that include novel engineering or scientific aspects with respect to data management and analytics in IoT environments. Such approaches may be related to end-to-end frameworks for the management of the data lifecycle on IoT infrastructures. Also, they may propose solutions to specific industrial or research problems. Some of the problems the industrial and scientific world is encountering are:

Unified data management and interoperability: There is a need for the proposal of data models, as well as data exchange protocols, data processing constraints, interfaces, etc., tailored to IoT environments. These need to consider a unified representation of data and data processing goals.

Orchestration techniques: There is a need for orchestration techniques within IoT environments that enable optimal deployment and management of data management and analysis applications. To achieve this, such techniques need to consider the available resources, their capabilities and constraints (e.g., related to location, privacy, and security, etc.), as well as quality-of-service standards and goals.

Novel applications and application composition: There is a need to see into the future and to design new applications that are possible because of the existence of IoT infrastructures. Furthermore, it is necessary to create methods and techniques for the composition of simple applications into composite ones. For this, new interfaces at the level of context, data, or system need to be devised.

Prof. Verena Kantere
Guest Editor

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• Distributed and unified data management
• IoT infrastructures and data management
• Streaming data management in IoT systems
• Edge computing and data management
• Data interoperability
• Orchestration of IoT infrastructures