Fog and Fogonomics

8Software‐Defined Fog Orchestration for IoT Services

Renyu Yang^1,2, Zhenyu Wen³, David McKee¹, Tao Lin⁴, Jie Xu^1,2, and Peter Garraghan⁵

¹School of Computing, University of Leeds, Leeds, UK

²Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), Beihang University, Beijing, China

³School of Computing, Newcastle University upon Tyne, Newcastle, UK

⁴School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

⁵School of Computing and Communications, Lancaster University, Lancaster, UK

8.1 Introduction

The proliferation of the Internet and increasing integration of physical objects spanning sensors, vehicles, and buildings have resulted in the formation of Cyber‐physical environments that encompass both physical and virtual objects. These objects are capable of interfacing and interacting with existing network infrastructure, allowing for computer‐based systems to interact with the physical world, thereby enabling novel applications in areas such as smart cities, intelligent transportation, and autonomous vehicles. Explosive growth in global data generation across all industries has led to research focused on effective data extraction from objects to gain insights to support Cyber‐physical system design. Internet of Things (IoT) services typically comprise a set of software components running over different geographical locations connected through networks (i.e. 4G, wireless LAN, Internet, etc.) that exhibit ...