The field of edge computing has grown considerably over the past few years, with
applications in artificial intelligence and big data processing, particularly due to its powerful …

Novel Artificial Intelligence (AI) approaches try to process an excessive amount of field-level
data. However, challenges arise as network bandwidth is limited, and thus this data cannot …

Edge computing is the next-generation computing paradigm that brings the processing
capability closer to the location where it is needed. 5G and beyond 5G aim to achieve …

In today's computing environment, where Artificial Intelligence (AI) and data processing are
moving toward the Internet of Things (IoT) and Edge computing paradigms, benchmarking …

The Internet of Things (IoT) envisions billions of everyday objects sharing information. As
new devices, applications and communication protocols are proposed for the IoT context …

Edge computing has emerged in recent years to reduce latency, conserve bandwidth, and
enhance privacy for applications. As more edge computing applications are being deployed …

The emerging field of edge computing is suffering from a lack of representative data to
evaluate rapidly introduced new algorithms or techniques. That is a critical issue as this …

Optimised task allocation is essential for efficient and effective edge computing; however,
task allocation differs in edge systems compared to the powerful centralised cloud data …

Container virtualization is recognized as indispensable for realizing the vision of edge
computing due to its advantages. However, OS-level virtualization suffers from a relatively …

Ethereum is one of the first blockchains executing smart contracts, ie, financial applications
directly executed on the ledger using a virtual machine. High transaction volumes caused by …