Object detection is a widely applied approach in addressing many real-world computer
vision challenges. Despite its importance, object detection is computationally intensive and …

Serverless edge systems simplify the deployment of real-time AI-based Internet of Things
(IoT) applications at the edge. However, the heterogeneity of edge computing nodes–in …

In the rapidly evolving domain of serverless computing, the need for efficient and accurate
predictive methods of function invocation becomes paramount. This study introduces a …

In recent years, more and more devices are connected to the network, generating an
overwhelming amount of data. This term that is booming today is known as the Internet of …

The wide adoption of smart devices and Internet-of-Things (IoT) sensors has led to massive
growth in data generation at the edge of the Internet over the past decade. Intelligent real …

Continuum Computing encompasses the integration of diverse infrastructures, including
cloud, edge, and fog, to facilitate seamless migration of applications based on their specific …

Functions-as-a-Service (FaaS) is a widely used serverless computing abstraction that helps
developers build applications using event-driven, stateless functions that execute on the …

Serverless computing has gained popularity in edge computing due to its flexible features,
including the pay-per-use pricing model, auto-scaling capabilities, and multi-tenancy …

Edge computing has been developed to utilize heterogeneous computing resources from
different physical locations for privacy, cost, and Quality of Service (QoS) reasons. Edge …

Edge AI has increasingly been adopted due to the rapid development of deep learning and
AI. At the same time, as AI models quickly grow in size and complexity, resource-constrained …