Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

As cloud services expand, the need to improve the performance of data center infrastructure
becomes more important. High-performance computing, advanced networking solutions …

Large language models (LLMs) have shown great success in content generation and
intelligent intelligent decision-making for IoT systems. Traditionally, LLMs are deployed on …

Recent years have witnessed a thriving growth of computing facilities connected at the
network edge, cultivating edge networks as a fundamental infrastructure for supporting …

The current society is becoming increasingly interconnected and hyper-connected.
Communication networks are advancing, as well as logistics networks, or even networks for …

Video analytics at mobile edge servers offers significant benefits like reduced response time
and enhanced privacy. However, guaranteeing various quality-of-service (QoS) …

Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge
nodes to collaborate and execute microservices from end devices. Microservice offloading, a …

Malicious traffic has a great impact on network security. This paper studies a malicious traffic
detection method based on deep learning. Aiming at the small sample data problem of …

The incorporation of end devices in the edge-to-cloud continuum yields substantial benefits
to conventional cloud computing frameworks, expediting communication between end …

IoT rule engines are important middlewares that allow users to easily create custom trigger-
action programs (TAPs) and interact with the physical world. Users expect their TAPs to give …