@inbook{75587b74f7da47a480b4528ea0bb6ecd,
title = "Software-defined internet of things to analyze big data in smart cities",
abstract = "Software-Defined network (SDN) attracted plenty of researchers from various technological fields who have contributed to enhance the network. SDN is a highly advanced technology which makes it easy for engineers to update protocols and other parameters at runtime (without switching off the devices). Recently, smart cities concept has been introduced, where devices in multidirectional form will be connected to provide timely and useful information to all kind of people and government. A number of researchers have attempted to merge SDN and IoT to provide better information to users. In this chapter, a novel concept has been introduced to combine both these technologies through a software-defined things architecture. There are many advantages of the proposed architecture where all data services are further connected via two intermediate levels working on SDN principles. Both the abovementioned technologies have a great potential for smart cities projects. The proposed architecture is evaluated using Spark and GraphX with Hadoop ecosystem which showed encouraging results especially the efficiency of real-time transfer of data over SDN.",
keywords = "GraphX, Hadoop, IoT, Name data network, Smart city, Software-defined network",
author = "Sadia Din and Awais Ahmad and Anand Paul and Gwanggil Jeon",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",
year = "2019",
doi = "10.1007/978-3-319-99061-3_6",
language = "English",
series = "EAI/Springer Innovations in Communication and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "91--106",
booktitle = "EAI/Springer Innovations in Communication and Computing",
address = "Germany",
}
