Intelligent mobile edge computing for IoT big data
Gwanggil Jeon, Marcelo Keese Albertini, Valerio Bellandi, Abdellah Chehri · Complex & Intelligent Systems · 2022
The progression of Internet of Things (IoT) has influenced several application areas during last decade and is expected to multiply further. The number of IoT connected IT devices has reached 40 billion, and is assumed to exceed 70 billion in 5 years. This fact highly advocates the added-value possibility of IoT but brings new challenges, such as effective handling of big volumes of data continually produced by IoT devices. The cloud-based IoT devices often fail to achieve the growing claims of their end user clients, particularly regarding the delivery of real time services and high quality of experience, keeping the privacy and security of the integrated system. This has led to IoT deployments that send data managing operations at the edge of the IT network, providing rise to IoT solutions based on edge computing. This can allow data processing and storage to be processed in a distributed fashion, close to the end user data sources, and handling network bandwidth conditions, high latency issues, and privacy and performance matters. However, there are still a lot of objections that need to be tackled before IoT big data systems can apply the edge computing paradigm in full, such as heterogeneity and resource constraints of most IoT devices, performance, scalability, and privacy.