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Hadoop Oriented Smart Cities Architecture.

Vlad Diaconita1, Ana-Ramona Bologa2, Razvan Bologa3

  • 1Department of Computer Science and Cybernetics, Bucharest University of Economic Studies, Bucharest 010374, Romania. diaconita.vlad@ie.ase.ro.

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Summary
This summary is machine-generated.

This paper proposes a Hadoop-based architecture for smart cities, leveraging its scalable data processing capabilities to manage diverse urban data effectively. The Hadoop ecosystem offers a robust ICT backbone for smart city development and data analysis.

Keywords:
ElasticsearchHadoopIoTSparkcloud computingsensorssmart cities

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Area of Science:

  • Computer Science
  • Urban Planning
  • Data Science

Background:

  • Smart cities integrate technology for community benefit, generating vast amounts of diverse data.
  • Existing ICT architectures face challenges in handling the storage and processing demands of smart city data.
  • Vertical scaling becomes insufficient, necessitating horizontal scaling solutions.

Purpose of the Study:

  • To propose a Hadoop-based architectural stack for smart city ICT backbones.
  • To provide an efficient framework for managing diverse smart city data.
  • To evaluate Hadoop's suitability for smart city data processing and analysis.

Main Methods:

  • Architectural design utilizing the Hadoop ecosystem (including Spark and NoSQL databases).
  • Comparative analysis of various Hadoop-based products and engines.
  • Evaluation based on performance, scalability, code reusability, innovation, features, and community support.

Main Results:

  • Hadoop offers efficient linear horizontal scaling for storage and processing needs.
  • The Hadoop ecosystem provides a mature yet dynamic platform for smart city ICT infrastructure.
  • A proposed Hadoop-based stack can serve as an effective backbone for smart city data management.

Conclusions:

  • Hadoop-based architectures are well-suited for the complex data challenges of smart cities.
  • The Hadoop ecosystem provides a flexible and scalable solution for smart city ICT needs.
  • Careful selection of Hadoop components is crucial for an optimized smart city architecture.