Cloud computing has been a game changer for internet-based applications such as content delivery networks, social networking and multi-tier enterprise applications. However, the requirements for low-latency data access, security, bandwidth, mobility, and cost have challenged centralized data center-based cloud computing models, which is driving the need for the novel computing paradigms of edge and fog computing. The internet of things (IoT) focuses on discovery, aggregation, management, and acting on data originating from internet-connected devices via programmable sensors, actuators, mobile phones, surveillance cameras, routers, gateways and switches. But the aggregation of this data is expensive and can be time consuming.
Traditional cloud-centric resource management models need to move towards more distributed and decentralized models so that they can cope with the challenges posed by the evolution of IoT smart devices and network solutions. However, supporting IoT data processing across cloud and edge data centers is not a trivial challenge. IoT sensing devices must be configured as a collection of data-analytics driven workflows where each node in the process can essentially run on multiple heterogeneous cloud and edge data centers.
This book presents state-of-the-art interdisciplinary computing research in the application lifecycle management for internet of things in edge and cloud computing. The book addresses challenges from a distributed system perspective that includes both cyber and physical aspects. The authors aim to bring together the four paradigms of cloud and edge computing, cyber physical systems, internet of things and big data for future ICT systems.
Written and edited by an international team of experts in the field, this book offers key insights to researchers, engineers, IT professionals, advanced students, postgraduate students and lecturers working in the fields of parallel and distributed computing, data mining, information retrieval, cloud, edge and fog computing, and the IoT.
Rajiv Ranjan is the university chair professor for Internet of Things research, co-director of the Networked and Ubiquitous Systems Engineering (NUSE) Group and academic director of the School of Computing, as well as research director of the Newcastle Urban Observatory at Newcastle University, UK. He is an expert in algorithms, resource management models, and distributed system architectures for cloud computing, IoT, and big data. He has developed novel techniques and distributed system architectures to facilitate performance-driven provisioning of multimedia and IoT applications over multiple cloud datacentres. He serves on the editorial board of international journals such as the IEEE Transactions on Computers, IEEE Transactions on Cloud Computing and Future Generation Computer Systems. He is a senior member of IEEE.
Karan Mitra is an associate professor at Luleå University of Technology, Sweden. He received his dual-badge PhD from Monash University, Australia and Luleå University of Technology in 2013. He received his MIT (MT) and a PGradDipDigComm from Monash University in 2008 and 2006, respectively. He received his BIS (Hons.) from Guru Gobind Singh Indraprastha University, Delhi, India in 2004. His research interests include quality of experience modelling and prediction, context-aware computing, cloud computing, and mobile and pervasive computing systems. From January 2012 to December 2013, he worked as a researcher at CSIRO, Canberra, Australia. He is a member of the IEEE and ACM. He serves as an associate editor for ACM Computing Surveys.
Prem Prakash Jayaraman is a professor in Internet of Things and distributed systems at Swinburne University of Technology, Australia. He leads several strategic initiatives, including the Factory of the Future, the Digital Innovation Lab and the Advanced Manufacturing Industry 4.0 Hub at Swinburne. His research area of interest is broadly around distributed systems, particularly IoT, cloud computing, and mobile computing aiming to establish and develop novel techniques and solutions for deploying and provision resilient and interoperable IoT analytics applications across multi-cloud and smart device/edge environments. Prof. Jayaraman's has received over $18Mil in competitive external research funding from both industry and the Australian Research Council. He has published over 150 papers in several top venues including IEEE Communication and Tutorials, ACM Surveys, Transaction of Cloud Computing, and serves as speciality chief editor, associate editor, and chairs for several high-quality journals and conference such as Frontiers in Internet of Things, ACM Computing Surveys and IEEE Consumer Communication and Networking Conference. He has been awarded twice Vice Chancellor awards for excellence in industry-based research at Swinburne, two best paper awards at top tier computer science conferences, and one industry award (iAwards 2023) for his pioneering industry-based research.
Albert Y. Zomaya is Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney. To date, he has published > 700 scientific papers and articles and is (co-)author/editor of > 30 books. A sought-after speaker, he has delivered > 250 keynote addresses, invited seminars, and media briefings. He was previously Editor in Chief of the IEEE Transactions on Computers (2010-2014) and the IEEE Transactions on Sustainable Computing (2016-2020). Prof. Zomaya is a decorated scholar with numerous accolades including Fellowship of the IEEE, the American Association for the Advancement of Science, and the Institution of Engineering and Technology. Also, he is a Fellow of the Australian Academy of Science, Royal Society of New South Wales, Foreign Member of Academia Europaea, and Member of the European Academy of Sciences and Arts. Some of Prof. Zomaya's recent awards include the Research Innovation Award, IEEE Technical Committee on Cloud Computing (2021), the Technical Achievement and Recognition Award, IEEE Communications Society's IoT, Ad Hoc and Sensor Networks Technical Committee (2022). Prof. Zomaya is a Clarivate 2022 Highly Cited Researcher, and his research interests lie in parallel and distributed computing, networking, and complex systems.
