Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop

Babar, Muhammad; Arif, Fahim; Jan, Mian Ahmad; Tan, Zhiyuan; Khan, Fazlullah

Abstract

The unbroken amplfication of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for decision making is a challenging task. Big Data analytics is performed to obtain useful insights about the massive data. The existing conventional techniques are not suitable to get a useful insight due to the huge volume of data. Big Data analytics has attracted significant attention in the context of large-scale data computation and processing. This paper presents a Hadoop-based architecture to deal with Big Data loading and processing. The proposed architecture is composed of two different modules, i.e., Big Data loading and Big Data processing. The performance and efficiency of data loading is tested to propose a customized methodology for loading Big Data to a distributed and processing platform, i.e., Hadoop. To examine data ingestion into Hadoop, data loading is performed and compared repeatedly against different decisions. The experimental results are recorded for various attributes along with manual and traditional data loading to highlight the efficiency of our proposed solution. On the other hand, the processing is achieved using YARN cluster management framework with specific customization of dynamic scheduling. In addition, the effectiveness of our proposed solution regarding processing and computation is also highlighted and decorated in the context of throughput.

Citation

Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019). Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035

• Journal Article Type: Article
• Acceptance Date: Feb 20, 2019
• Online Publication Date: Feb 25, 2019
• Publication Date: 2019-07
• Deposit Date: Feb 21, 2019
• Publicly Available Date: Feb 26, 2021
• Journal: Future Generation Computer Systems
• Print ISSN: 0167-739X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 96
• Pages: 398-409
• DOI: https://doi.org/10.1016/j.future.2019.02.035
• Keywords: Big Data Analytics, Smart City, Internet of Things, Hadoop,
• Public URL: http://researchrepository.napier.ac.uk/Output/1606408