Fog computing has been widely integrated in the IoT-based systems, creating IoT-Fog-
Cloud (IFC) systems to improve the system performances and satisfy the quality of services …

Nowadays, scientists migrate workflow applications on serverless Function-as-a-Service
(FaaS) platforms in a form of so called function choreographies (FCs) to benefit from FaaS …

Today's distributed computing infrastructures en-compass complex workflows for real-time
data gathering, transferring, storage, and processing, quickly overwhelming centralized …

The traditional cloud computing model struggles to efficiently handle the vast number of
Internet of Things (IoT) services due to its centralized nature and physical distance from end …

Abstract Time-sensitive Internet of Things (IoT) applications need to provide instant
responses to end users. Seeking to reduce the latency of IoT applications is challenging …

This paper focuses on SDN-based approaches for deploying stream processing workloads
on heterogeneous environments comprising wide-area networks, cloud and fog resources …

With the proliferation of Internet of Things (IoT) devices, real-time stream processing at the
edge of the network has gained significant attention. However, edge stream processing …

A large number of source-load-storage devices are connected to the power system in the
new power system, which leads to the surge of power service and puts forward new …

In this paper, we investigate experimentally the use of auctioning as a method for optimizing
task orchestration in distributed computing systems by making selfish agents compete to …

This chapter provides a state-of-the-art review regarding matching theory-based distributed
computation offloading frameworks for IoT-fog-cloud (IFC) systems. In this review, the key …