With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

Internet-of-Things (IoT) has played a critical role in developing sustainable smart cities and
emerging numerous latency-sensitive IoT applications. Mobile edge computing (MEC) …

Robust machine learning (ML) models can be developed by leveraging large volumes of
data and distributing the computational tasks across numerous devices or servers …

Fog and Edge computing extend cloud services to the proximity of end users, allowing many
Internet of Things (IoT) use cases, particularly latency-critical applications. Smart devices …

Abstract Mobile Edge Computing (MEC) federations aim to establish a joint edge service
model between Edge Infrastructure Providers (EIPs) and clouds, facilitating the sharing and …

With the growing scale and intrinsic heterogeneity of Internet of Things (IoT) systems,
distributed device collaboration becomes essential for effective task completion by …

Accurately identifying IoT device types is crucial for IoT security and resource management.
However, existing traffic-based device identification algorithms incur high measurement …

With the continuous increase of IoT applications, their effective scheduling in edge and
cloud computing has become a critical challenge. The inherent dynamism and stochastic …

This paper considers an agent identity privacy problem in Markov decision process. There
are two types of agents with different instantaneous control reward functions, eg, two types of …

With the advent of smart urban spaces, efficient and flexible traffic management has become
a necessity. The changing nature of urban traffic makes traditional traffic management …