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## Edge computing: a future trend for IoT and big data processing

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The huge amount of data generated by IoT devices at the edge of network has been imposing significant burden on cloud computing in terms of network latency and bandwidth in particular. Edge computing provides a way to address several latency -related limitations of cloud computing. Nevertheless, edge computing does not aim to replace cloud computing; instead, it can be implemented to cooperate with the data centre to address several limitations of cloud computing, including, but not limit to, reduce latency and bandwidth consumption, provide location -awareness service and improve computing performance and QoS. Although the implementation of edge computing can face a variety of issues, especially in the security and resource -allocation aspects, edge computing can create a new value chain and thus benefits all participants, including customers, service providers, and application and network equipment vendors. The driving forces behind the development of edge computing may include the demand for the applications and IoT devices which require low -latency and real-time processing. Currently, many organisations have realised the potential of edge computing, including Amazon and Dell, and thus they have been developing corresponding products and services. Edge computing can be the next era after cloud computing which brings benefits to all participants as well as changes the world.

Chapter Contents:

• 17.1 Definition of edge computing
• 17.2 Deployment scenarios
• 17.3 Service scenarios
• 17.4 Case studies
• 17.6 Challenges
• 17.7 Discussion
• 17.7.1 The difference between cloud computing and edge computing
• 17.7.2 The role of edge computing
• 17.7.3 Driving force
• 17.7.4 Current state of edge computing
• 17.8 Conclusion
• References

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