Table of Contents
PrefacePethuru Raj Chelliah Sr., Kavita Saini and Chellammal Surianarayanan1. Exploring the Edge AI Space: The Industry Use CasesPethuru Raj Chelliah Sr. and Jenn-Wei Lin2. Edge Computing Types & AttributesSunku Ranganath3. Industry Initiatives Across Edge ComputingSunku Ranganath4. IoT-Edge Analytics for BACON Assisted Multivariate Health Data AnomalyPartha Pratim Ray and Dinesh Dash5. The Edge AI Paradigm: The Technologies, Platforms and Use CasesPethuru Raj Chelliah Sr., J Akilandeswari and M Marimuthu6. Microservices approach to edge-native applications Chellammal Surianarayanan7. Edge Data Analytics Technologies and ToolsN Jayashree8. Edge Platforms, Frameworks and ApplicationsKavita Saini9. Edge computing challenges and concernsKavita Saini10. Smart Supportable Framework- by Internet of Things (IoT) and machine learning for future agriculture Veeramuthu Venkatesh11. 5G Communication for Edge ApplicationsSumathi D12. The Future of Edge ComputingSwaroop Sonone, Mahipal Singh Sankhla, Kavita Saini, Swapnali Jadhav and Varad Nagar13. Edge Computing Security: Layered Classification of Attacks and Possible CountermeasuresG Nagarajan, Serin V. Simpson and R I. Minu14. The Blockchain Technology for IoT Edge Devices and Data SecurityAnuradha M P15. EDGE/FOG computing paradigm: the concept, platforms and ToolchainsN. Krishnaraj, Kavita Saini, A Daniel and Kiranmai Bellam16. Artificial Intelligence on Edge DevicesAnubhav Singh, Mahipal Singh Sankhla, Kavita Saini, Varad Nagar, Rushikesh Chopade, Vinay Aseri and Pritam P. Pandit17. 5G - Communication in HealthCare ApplicationR satheeshkumar18. Collaborating Fog/Edge Computing with Industry 4.0 – Architecture, Challenges and BenefitsArul Treesa Mathew19. The Integration of Blockchain and IoT Edge Devices for Smart Agriculture: The Challenges and Use CasesSwati Nigam