{"product_id":"next-generation-technologies-in-cloud-computing-from-ai-and-security-to-sustainability-hardback-9781394382453","title":"Next-Generation Technologies in Cloud Computing; From AI and Security to Sustainability (Hardback) 9781394382453","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNext-Generation Technologies in Cloud Computing\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFrom AI and Security to Sustainability\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eBishwajeet Pandey (Edited by), B Pandey (Author), Advait Patel (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394382453, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 15 May 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e464 pages\u003cbr\u003e22.9 x 15.2 x 2.8 cm, 0.761 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eComprehensive exploration of emerging cloud computing technologies, focusing on generative AI, cloud security, sustainable computing practices, and edge computing\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eNext-Generation Technologies in Cloud Computing\u003c\/i\u003e delves into the development and future of cloud ecosystems, highlighting key technological milestones. Unlike traditional cloud computing books, this volume uniquely integrates AI, cybersecurity, sustainability, and edge computing into a single comprehensive resource. It explores the latest advancements, from generative AI and quantum computing to zero-trust security and green cloud practices, making it a forward-looking guide for readers of all backgrounds. \u003c\/p\u003e\n\u003cp\u003eThe book bridges theory and practice by including case studies from industries like healthcare, finance, and IoT, showcasing how cloud innovations are transforming real-world applications. Contributions from leading academics, researchers, and industry experts provide valuable perspectives on deploying next-generation cloud solutions. \u003c\/p\u003e\n\u003cp\u003eRather than focusing solely on performance and scalability, this volume emphasizes eco-friendly cloud solutions and the ethical implications of AI-driven cloud systems. It highlights strategies for achieving carbon-neutral cloud infrastructures and securing AI applications responsibly, addressing the growing demand for sustainable and ethical technology practices. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eNext-Generation Technologies in Cloud Computing\u003c\/i\u003e includes information on: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMachine Learning as a Service (MLaaS) and its advantages for businesses and developers, emphasizing multi-cloud optimization\u003c\/li\u003e\n\u003cli\u003eEdge computing’s role in enhancing real-time data processing, particularly in IoT and 5G networks\u003c\/li\u003e\n\u003cli\u003eEco-friendly cybersecurity and AI-powered threat detection\u003c\/li\u003e\n\u003cli\u003ePrivacy-preserving techniques, innovations in IoT platforms, and cost optimization for cloud AI\u003c\/li\u003e\n\u003cli\u003eRegulatory frameworks including the EU AI Act, the NIST AI Risk Management Framework, OECD AI Principles, and U.S. Executive Orders on AI\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eNext-Generation Technologies in Cloud Computing\u003c\/i\u003e is an essential resource on the subject for cloud professionals, cybersecurity experts, AI researchers, students, educators, policymakers, and anyone interested in understanding the future of cloud technology.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAbout the Editors xxv\u003c\/p\u003e \u003cp\u003eList of Contributors xxvii\u003c\/p\u003e \u003cp\u003ePreface xxix\u003c\/p\u003e \u003cp\u003eAcknowledgments xxxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction: Reimagining Cloud Computing in the Age of AI and Sustainability 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKaran Alang and Anant Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 The Evolution of Cloud Computing: From Mainframes to AI-Powered Everything 1\u003c\/p\u003e \u003cp\u003e1.3 The Sustainability Imperative 7\u003c\/p\u003e \u003cp\u003e1.4 Challenges and Opportunities 9\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 11\u003c\/p\u003e \u003cp\u003e1.6 Future Scope 11\u003c\/p\u003e \u003cp\u003eReferences 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Evolution of Cloud Computing: From Virtual Machines to Serverless 15\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnuj Ashok Potdar and Pronnoy Goswami\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 15\u003c\/p\u003e \u003cp\u003e2.2 The Definition of Cloud Computing 16\u003c\/p\u003e \u003cp\u003e2.3 Historical Context and Significance 17\u003c\/p\u003e \u003cp\u003e2.4 Evolution Timeline Overview 18\u003c\/p\u003e \u003cp\u003e2.5 The Foundations: Virtual Machines and Early Virtualization 20\u003c\/p\u003e \u003cp\u003e2.6 The Birth of Modern Cloud Computing 23\u003c\/p\u003e \u003cp\u003e2.7 The Serverless Paradigm 26\u003c\/p\u003e \u003cp\u003e2.8 Conclusion 27\u003c\/p\u003e \u003cp\u003eReferences 27\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Exploring Cloud-Native Microservices Architectures and Design Patterns 31\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePrashanthi Matam and Venkata Naga Kartik Pidatala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 31\u003c\/p\u003e \u003cp\u003e3.2 Fundamentals of Cloud-Native Computing 33\u003c\/p\u003e \u003cp\u003e3.3 Microservices Architecture (MSA) Overview 36\u003c\/p\u003e \u003cp\u003e3.4 Cloud-Native Migration Strategies to Microservices 38\u003c\/p\u003e \u003cp\u003e3.5 Core Design Patterns in Microservices 39\u003c\/p\u003e \u003cp\u003e3.6 Data Management Patterns 40\u003c\/p\u003e \u003cp\u003e3.7 Event-Driven Architectures and Microservices 42\u003c\/p\u003e \u003cp\u003e3.8 Practical Considerations and Best Practices 43\u003c\/p\u003e \u003cp\u003e3.9 Emerging Trends and Future Directions 45\u003c\/p\u003e \u003cp\u003e3.10 Case Studies and Real-World Applications 49\u003c\/p\u003e \u003cp\u003e3.11 Conclusion 51\u003c\/p\u003e \u003cp\u003eReferences 51\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Multicloud and Hybrid Cloud Strategies for Resilient Infrastructure: An Observability-Driven Framework for Modern Distributed Systems 55\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAditya Gupta and Pronnoy Goswami\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 55\u003c\/p\u003e \u003cp\u003e4.2 Related Work and Theoretical Foundations 56\u003c\/p\u003e \u003cp\u003e4.3 Multicloud Observability Architecture Framework 58\u003c\/p\u003e \u003cp\u003e4.4 Distributed Tracing Implementation Strategy 61\u003c\/p\u003e \u003cp\u003e4.5 Multimodal Data Fusion and Analytics 63\u003c\/p\u003e \u003cp\u003e4.6 Cross-Cloud Security and Compliance Observability 65\u003c\/p\u003e \u003cp\u003e4.7 Implementation Guidelines and Best Practices 67\u003c\/p\u003e \u003cp\u003e4.8 Performance Evaluation and Verification 68\u003c\/p\u003e \u003cp\u003e4.9 Future Directions and Emerging Technological Developments 70\u003c\/p\u003e \u003cp\u003e4.10 Conclusion 72\u003c\/p\u003e \u003cp\u003eReferences 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Machine Learning as a Service (MLaaS): Enabling Scalable AI 75\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRaghuram Katakam and Ashwin Prakash Nalwade\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 75\u003c\/p\u003e \u003cp\u003e5.2 The Evolution of Machine Learning 76\u003c\/p\u003e \u003cp\u003e5.3 Frameworks and Tools in MLaaS 77\u003c\/p\u003e \u003cp\u003e5.4 Challenges and Future Outlook 86\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 87\u003c\/p\u003e \u003cp\u003eReferences 88\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Cloud Cost Optimization and the Rise of FinOps 91\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDhivya Nagasubramanian\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction: Cloud Cost Complexity and the Capital Expenditures (CapEx)-to-Operating Expenditures (OpEx) Shift 91\u003c\/p\u003e \u003cp\u003e6.2 From CapEx Comfort to OpEx Chaos 91\u003c\/p\u003e \u003cp\u003e6.3 The Rise of FinOps: Making Cloud Spending Make Sense 92\u003c\/p\u003e \u003cp\u003e6.4 You’re Not Alone—The Data Tells the Story 92\u003c\/p\u003e \u003cp\u003e6.5 ANewMindsetforaNewEra 92\u003c\/p\u003e \u003cp\u003e6.6 The Emergence and Evolution of FinOps 94\u003c\/p\u003e \u003cp\u003e6.7 Core FinOps Principles and Lifecycle 95\u003c\/p\u003e \u003cp\u003e6.8 Holistic Cost Management Framework 98\u003c\/p\u003e \u003cp\u003e6.9 Beyond Single-Workload Optimization 98\u003c\/p\u003e \u003cp\u003e6.10 Cost-Aware Architecture and Operations 99\u003c\/p\u003e \u003cp\u003e6.11 AI\/ML for Predictive Cloud Cost Management 100\u003c\/p\u003e \u003cp\u003e6.12 FinOps in Action: Real-World Case Studies 101\u003c\/p\u003e \u003cp\u003e6.13 The Future of FinOps: Sustainability, Cross-Cloud Arbitrage, and Decentralized Models 104\u003c\/p\u003e \u003cp\u003e6.14 Agentic AI Orchestration: The Next Frontier in FinOps 108\u003c\/p\u003e \u003cp\u003e6.15 Conclusion 109\u003c\/p\u003e \u003cp\u003eReferences 110\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 FinOps for AI Workloads 113\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnaranya Bagchi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 113\u003c\/p\u003e \u003cp\u003e7.2 Types of AI Workloads and Cost Drivers 114\u003c\/p\u003e \u003cp\u003e7.3 FinOps Principles Applied to AI 117\u003c\/p\u003e \u003cp\u003e7.4 Challenges in FinOps for AI Workloads 125\u003c\/p\u003e \u003cp\u003e7.5 Conclusion 126\u003c\/p\u003e \u003cp\u003eReferences 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 AI-Driven Cloud Services and Intelligence Automation 129\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePrashanthi Matam and Venkata Naga Kartik Pidatala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 129\u003c\/p\u003e \u003cp\u003e8.2 Evolution of Cloud Computing: From Virtualization to Cloud-Native Architectures 132\u003c\/p\u003e \u003cp\u003e8.3 Intelligent Automation in Cloud Operations 137\u003c\/p\u003e \u003cp\u003e8.4 Emerging Paradigms: Generative and Agentic AI in Cloud Services 143\u003c\/p\u003e \u003cp\u003e8.5 Foundations of Multimodal AI 145\u003c\/p\u003e \u003cp\u003e8.6 Future Trends and Opportunities 147\u003c\/p\u003e \u003cp\u003e8.7 Conclusion 148\u003c\/p\u003e \u003cp\u003eReferences 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 AIOps: Intelligent Cloud Observability and Incident Management 151\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMilankumar Rana and Jyoti Kunal Shah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 151\u003c\/p\u003e \u003cp\u003e9.2 Background and Evolution of AIOps 152\u003c\/p\u003e \u003cp\u003e9.3 Cloud Observability Fundamentals 154\u003c\/p\u003e \u003cp\u003e9.4 Architecture of AIOps Platforms 156\u003c\/p\u003e \u003cp\u003e9.5 Data Pipelines and Telemetry Management 161\u003c\/p\u003e \u003cp\u003e9.6 AI\/ML Techniques for Intelligent Observability 165\u003c\/p\u003e \u003cp\u003e9.7 Anomaly Detection and Root Cause Analysis 169\u003c\/p\u003e \u003cp\u003e9.8 Incident Management Workflow 172\u003c\/p\u003e \u003cp\u003e9.9 Case Studies and Industry Implementations 175\u003c\/p\u003e \u003cp\u003e9.10 Best Practices for AIOps Adoption 179\u003c\/p\u003e \u003cp\u003e9.11 Challenges and Limitations 182\u003c\/p\u003e \u003cp\u003e9.12 Future Directions in AIOps 183\u003c\/p\u003e \u003cp\u003e9.13 Conclusion 185\u003c\/p\u003e \u003cp\u003eReferences 186\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Cloud-Native DevSecOps and Shift-Left Security Practices 187\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJay Shah and Garima Bajpai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 187\u003c\/p\u003e \u003cp\u003e10.2 State of DevSecOps and Shift-Left Security 188\u003c\/p\u003e \u003cp\u003e10.3 Adoption of DevSecOps 192\u003c\/p\u003e \u003cp\u003e10.4 Implementing DevSecOps with Frameworks 192\u003c\/p\u003e \u003cp\u003e10.5 What Is a Maturity Model? 193\u003c\/p\u003e \u003cp\u003e10.6 Best Practices 194\u003c\/p\u003e \u003cp\u003e10.7 Challenges and Future Outlook 196\u003c\/p\u003e \u003cp\u003e10.8 Conclusion 197\u003c\/p\u003e \u003cp\u003eReferences 197\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Autonomous Cloud Infrastructure and Self-Healing Systems 199\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVinod Goje and Manoj Ravi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 199\u003c\/p\u003e \u003cp\u003e11.2 Background and Context 203\u003c\/p\u003e \u003cp\u003e11.3 Self-Healing Mechanisms and Implementation Strategies 210\u003c\/p\u003e \u003cp\u003e11.4 Case Study: Netflix’s Implementation 214\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 215\u003c\/p\u003e \u003cp\u003eReferences 216\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Serverless Computing and Event-Driven Cloud Architectures 219\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJyoti Shah and Milankumar Rana\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 219\u003c\/p\u003e \u003cp\u003e12.2 Background and Related Work 220\u003c\/p\u003e \u003cp\u003e12.3 Challenges 224\u003c\/p\u003e \u003cp\u003e12.4 Proposed Framework 226\u003c\/p\u003e \u003cp\u003e12.5 Architecture Overview 229\u003c\/p\u003e \u003cp\u003e12.6 Implementation Considerations 232\u003c\/p\u003e \u003cp\u003e12.7 Case Study 235\u003c\/p\u003e \u003cp\u003e12.8 Challenges and Limitations 239\u003c\/p\u003e \u003cp\u003e12.9 Future Work 241\u003c\/p\u003e \u003cp\u003e12.10 Conclusions 243\u003c\/p\u003e \u003cp\u003eReferences 245\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Zero Trust Architecture in Cloud Environments 247\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAparna Achanta and Vinod Goje\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 247\u003c\/p\u003e \u003cp\u003e13.2 Zero Trust in the Cloud 249\u003c\/p\u003e \u003cp\u003e13.3 Threat Actors in the Cloud 250\u003c\/p\u003e \u003cp\u003e13.4 How the Cloud Embraces Zero Trust 250\u003c\/p\u003e \u003cp\u003e13.5 Zero Trust Governance for IAM 252\u003c\/p\u003e \u003cp\u003e13.6 Micro-Segmentation for Network Control 253\u003c\/p\u003e \u003cp\u003e13.7 Zero Trust Network Access (ZTNA) 254\u003c\/p\u003e \u003cp\u003e13.8 How Micro-Segmentation Prevents Lateral Movement 255\u003c\/p\u003e \u003cp\u003e13.9 The Role of Unified Endpoint Management (UEM) 255\u003c\/p\u003e \u003cp\u003e13.10 Continuous Authentication and Session Monitoring 256\u003c\/p\u003e \u003cp\u003e13.11 SaaS-Specific Zero Trust Strategies 257\u003c\/p\u003e \u003cp\u003e13.12 PaaS Security Controls 257\u003c\/p\u003e \u003cp\u003e13.13 Visibility, Logging, and Threat Detection 258\u003c\/p\u003e \u003cp\u003e13.14 Centralized Log Aggregation Architecture 258\u003c\/p\u003e \u003cp\u003e13.15 SIEM\/SOAR Integration for Zero Trust 259\u003c\/p\u003e \u003cp\u003e13.16 Cloud-Native Threat Detection Services 260\u003c\/p\u003e \u003cp\u003e13.17 Data-Centric Security 260\u003c\/p\u003e \u003cp\u003e13.18 Conclusions 261\u003c\/p\u003e \u003cp\u003e13.19 Future Work 262\u003c\/p\u003e \u003cp\u003eReferences 262\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Predictive Risk Intelligence and Governance Framework in Multicloud Environments 265\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePriya Ranjani Mohan and Yugandhar Suthari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction: From Reactive to Predictive 265\u003c\/p\u003e \u003cp\u003e14.2 Core Challenges in Multicloud Governance 266\u003c\/p\u003e \u003cp\u003e14.3 PRIG Framework Architecture and Components 268\u003c\/p\u003e \u003cp\u003e14.4 Building Your Organization’s PRIG Infrastructure 270\u003c\/p\u003e \u003cp\u003e14.5 Out-of-the-Box Tools for Predictive Decisions 271\u003c\/p\u003e \u003cp\u003e14.6 Building Custom ML Models and Risk Prediction 273\u003c\/p\u003e \u003cp\u003e14.7 Making Predictive Decisions and Taking Action 274\u003c\/p\u003e \u003cp\u003e14.8 The Glue That Holds It Together 276\u003c\/p\u003e \u003cp\u003e14.9 Considerations for Potential Issues When Implementing PRIG Framework 277\u003c\/p\u003e \u003cp\u003e14.10 Real-World Case Studies 277\u003c\/p\u003e \u003cp\u003e14.11 Outlook and Recommendations 279\u003c\/p\u003e \u003cp\u003e14.12 Conclusion 281\u003c\/p\u003e \u003cp\u003eReferences 281\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Security and Compliance for Cloud-Native Applications 283\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVaishnavi Gudur and Ashish Kattamuri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 283\u003c\/p\u003e \u003cp\u003e15.2 Background\/Context 284\u003c\/p\u003e \u003cp\u003e15.3 Core Content 287\u003c\/p\u003e \u003cp\u003e15.4 Challenges 292\u003c\/p\u003e \u003cp\u003e15.5 Future Outlook 294\u003c\/p\u003e \u003cp\u003e15.6 Conclusion 296\u003c\/p\u003e \u003cp\u003eReferences 297\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Data Privacy, Sovereignty, and Cloud Localization Laws 299\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDhivya Nagasubramanian and Kiran Kumar Reddy Puram\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction: When the Cloud Hits the Ground 299\u003c\/p\u003e \u003cp\u003e16.2 Global Trends in Data Privacy and Localization 300\u003c\/p\u003e \u003cp\u003e16.3 Regional Regulatory Landscape 301\u003c\/p\u003e \u003cp\u003e16.4 Industry Case Studies: Impact of Sovereignty Requirements 306\u003c\/p\u003e \u003cp\u003e16.5 Architecting for Compliance: Technical Approaches to Sovereignty 309\u003c\/p\u003e \u003cp\u003e16.6 Evolution and Future Outlook 313\u003c\/p\u003e \u003cp\u003e16.7 Conclusion 315\u003c\/p\u003e \u003cp\u003eReferences 316\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Sustainable Cloud Computing and Carbon-Aware Architectures 319\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVamsi Alla and Ashish Kattamuri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 319\u003c\/p\u003e \u003cp\u003e17.2 Evolution of Cloud Computing: The Foundation for Sustainability 321\u003c\/p\u003e \u003cp\u003e17.3 Principles of Sustainable Cloud Computing 322\u003c\/p\u003e \u003cp\u003e17.4 Core Frameworks for Sustainable Cloud Computing 325\u003c\/p\u003e \u003cp\u003e17.5 Use Cases and Industry Relevance 332\u003c\/p\u003e \u003cp\u003e17.6 Difficulties and Future Vision 334\u003c\/p\u003e \u003cp\u003e17.7 Sustainable Cloud Computing’s Prospect 337\u003c\/p\u003e \u003cp\u003e17.8 Conclusion 338\u003c\/p\u003e \u003cp\u003eReferences 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Quantum Computing in the Cloud: Opportunities and Challenges 341\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAshwin Prakash Nalwade and Khan Shariya Hasan Upoma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 341\u003c\/p\u003e \u003cp\u003e18.2 Background 342\u003c\/p\u003e \u003cp\u003e18.3 Quantum Computing in the Cloud 345\u003c\/p\u003e \u003cp\u003e18.4 Quantum Computing—Key Strengths 350\u003c\/p\u003e \u003cp\u003e18.5 Challenges and the Future 351\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 353\u003c\/p\u003e \u003cp\u003eReferences 353\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Cloud Platforms for Scientific Research and HPC Workloads 355\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnant Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 355\u003c\/p\u003e \u003cp\u003e19.2 Background and Context 356\u003c\/p\u003e \u003cp\u003e19.3 Core Content: Frameworks, Use Cases, and Technical Depth 358\u003c\/p\u003e \u003cp\u003e19.4 Container Orchestration for Scientific Workloads 360\u003c\/p\u003e \u003cp\u003e19.5 Workflow Management Systems 361\u003c\/p\u003e \u003cp\u003e19.6 Challenges and Future Outlook 365\u003c\/p\u003e \u003cp\u003e19.7 Emerging Trends 366\u003c\/p\u003e \u003cp\u003e19.8 Conclusion 369\u003c\/p\u003e \u003cp\u003eReferences 370\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Ethics, Bias, and Responsible AI in Cloud Environments 373\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSreekanth B. Narayan and Karan Alang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 373\u003c\/p\u003e \u003cp\u003e20.2 Key Ethical Principles 375\u003c\/p\u003e \u003cp\u003e20.3 Bias in AI 377\u003c\/p\u003e \u003cp\u003e20.4 Responsible AI Practices 379\u003c\/p\u003e \u003cp\u003e20.5 Implementation Considerations and Good Practices 382\u003c\/p\u003e \u003cp\u003e20.6 Cloud Environments and AI 383\u003c\/p\u003e \u003cp\u003e20.7 Case Studies 385\u003c\/p\u003e \u003cp\u003e20.8 Future Directions 388\u003c\/p\u003e \u003cp\u003eReferences 390\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Conclusion—The Future Cloud: Ethical, Autonomous, and Planet-Aware 393\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePronnoy Goswami and Aditya Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 393\u003c\/p\u003e \u003cp\u003e21.2 The Enduring Arc of Abstraction and Its Unseen Costs 394\u003c\/p\u003e \u003cp\u003e21.3 From Monitoring Silos to Multicloud Operational Resilience 395\u003c\/p\u003e \u003cp\u003e21.4 The Challenge of Governance-Aware Autonomy 397\u003c\/p\u003e \u003cp\u003e21.5 From Optimization to Obligation: The Rise of Ethical and Planet-Aware Architectures 398\u003c\/p\u003e \u003cp\u003e21.6 Redefining the Economics: Financial Operations, Sovereignty, and Zero Trust 400\u003c\/p\u003e \u003cp\u003e21.7 Synthesis and a Forward-Looking Research Agenda 402\u003c\/p\u003e \u003cp\u003e21.8 Conclusion and Future Scope 403\u003c\/p\u003e \u003cp\u003eReferences 403\u003c\/p\u003e \u003cp\u003eGlossary 405\u003c\/p\u003e \u003cp\u003eIndex 407\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52433828086040,"sku":"9781394382453","price":96.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394382453.jpg?v=1784854478","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/next-generation-technologies-in-cloud-computing-from-ai-and-security-to-sustainability-hardback-9781394382453","provider":"Freshly Printed Books","version":"1.0","type":"link"}