Edge computing-based architectures for big data-enabled IoT

Edge computing-based architectures for big data-enabled IoT

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This chapter presents the detailed discussion on EC-based architecture for big data enabled IoT with their advantages and disadvantages. The EC-based architecture provide closer proximity-based solutions avoiding latency and limited bandwidth issues. However, to support big data handling and management of IoT sensors and smart city infrastructure, load balancing and resource sharing features are required. We can conclude from the earlier discussion that increased number of devices and data generated by them have posed resource-scarcity challenges at edge devices. In the worst case, the edge device is forced to forward the request to a distant remote cloud eliminating the beneficial features of reduced latency and Internet dependency offered by EC architecture.

Chapter Contents:

  • 18.1 Introduction
  • 18.1.1 Cloud-computing architecture
  • Mobile cloud computing
  • Edge computing
  • 18.1.2 Mobile cloud computing applications
  • 18.1.3 Edge-computing applications
  • Cloudlet computing
  • Fog computing
  • Mobile edge computing
  • 18.2 Challenges faced by edge computing
  • 18.2.1 Offloading decision challenges
  • 18.2.2 Interoperability challenges
  • 18.2.3 Safety and security challenges
  • 18.2.4 Performance optimization challenges
  • 18.3 Big data-enabled IoT requirements and challenges for IoT and smart cities
  • 18.3.1 Edge computing requirements
  • 18.3.2 Edge computing challenges
  • 18.4 Edge computing-based architecture for big data-enabled IoT
  • 18.4.1 Distributed EC-based approaches
  • 18.4.2 Centralized EC-based approaches
  • 18.4.3 Peer-to-peer EC-based approaches
  • 18.4.4 Hybrid EC-based approaches
  • 18.5 Comparative analysis of edge computing-based approaches
  • 18.6 Conclusion
  • References

Inspec keywords: Big Data; Internet of Things; cloud computing

Other keywords: big data-enabled IoT; distant remote cloud; EC-based architecture; edge computing-based architectures; big data management; edge devices; big data handling; proximity-based solutions

Subjects: Computer networks and techniques; Computer communications; Data handling techniques; Internet software

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