Meta-Heuristic Algorithms for Advanced Distributed Systems

META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Table of Contents:
About the Book xix About the Editors xxi List of Contributors xxiii Preface xxxiii 1 The Future of Business Management with the Power of Distributed Systems and Computing 1 Venkateswararao Podile, Nitin Kulshrestha, Sushmita Goswami, Lavanya Durga, B. Rachanasree, T. Pavan Reddy, and P. Shreya Sarojini 1.1 Introduction 1 1.2 Understanding Distributed Systems and Computing 2 1.3 Applications of Distributed Systems and Computing in Business Management 6 1.4 Limitations of Distributed Systems in Business Management 11 1.5 Future Developments and Opportunities 15 1.6 Conclusion 17 References 18 2 Applications of Optimized Distributed Systems in Healthcare 21 Ayush Thakur, Suruchi Verma, Nidhi Sindhwani, and Rashmi Vashisth 2.1 Introduction 21 2.2 Literature Survey 23 2.3 Real Cases 32 2.4 Conclusion 34 References 35 3 The Impact of Distributed Computing on Data Analytics and Business Insights 39 Haider Mehraj, Vinay K. Nassa, A.S.K. Reddy, K.V.D. Sagar, Dilip K. Sharma, Shyamasundar Tripathy, and Franklin J. Selvaraj 3.1 Introduction 39 3.2 Distributed Computing and Data Analytics 41 3.3 Business Insights and Decision-Making 45 3.4 Challenges and Limitations 47 3.5 The Impact of Distributed Computing on Data Analytics 48 3.6 Conclusion 50 References 50 4 Machine Learning and Its Application in Educational Area 53 Abhinav Tripathi, Yashasvi Singh, Arti Sharma, Ajay Kumar Shrivastava, and Saurabh Sharma 4.1 Introduction 53 4.2 Previous Work 54 4.3 Technique 54 4.4 Analysis of Data 56 4.5 Educational Data Mining 56 4.6 Hadoop Approach 57 4.7 Artificial Neural Network (ANN) 58 4.8 Decision Tree 59 4.9 Results/Discussion 59 4.9.1 Personalized Learning Through Adaptive Learning 59 4.10 Increasing Efficiency Using Learning Analytics 60 4.11 Predictive Analysis for Better Assessment Evaluation 61 4.12 Future Scope 61 4.13 Conclusion 61 References 62 5 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions 67 Bhawna and Veena Parihar 5.1 Introduction 67 5.2 Distributed Systems 68 5.3 Literature Review 69 5.4 Threats to Distributed Systems Security 70 5.5 Security Standards and Protocols 72 5.6 Network Security 73 5.7 Access Control 74 5.8 Authentication and Authorization 76 5.9 Privacy Concerns 78 5.10 Case Studies 79 5.11 Conclusion 80 5.12 Future Scope 81 References 81 6 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques 85 Ashima Arya, Swasti Singhal, and Rashika Bangroo 6.1 Introduction 85 6.2 Stochastic Optimization 86 6.3 Heuristic Search 89 6.4 Meta-Heuristic 90 6.5 Machine Learning 94 References 99 7 Security and Privacy Issues in Distributed Healthcare Systems – A Survey 103 Manish Bhardwaj, Samad Noeiaghdam, and Yu-Chen Hu 7.1 Introduction 103 7.2 Previous Study 106 7.3 Security and Privacy Needs 109 7.4 Security and Privacy Goals 111 7.5 Type of Attacks in Distributed Systems 114 7.6 Recommendations and Future Approaches 116 7.7 Conclusion 117 References 118 8 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System 123 Manish Bhardwaj, Sanjiv Sharma, and Amit K. Gupta 8.1 Introduction 123 8.2 Outmoded Systems 125 8.3 Distributed Systems 126 8.4 Previous Work 129 8.5 Service-Oriented Architecture of e-Healthcare 131 8.6 Implementation of the Proposed Model 133 8.7 Evaluation of the Proposed Model Performance 134 8.8 Conclusion and Future Work 135 References 136 9 Leveraging Distributed Systems for Improved Educational Planning and Resource Allocation 141 S. Durga, Priti Gupta, Latika Kharb, P.S. Ranjit, Venkata Harshavardhan Reddy Dornadula, Kali Charan Modak, and Geetha Manoharan 9.1 Introduction 141 9.2 Theoretical Framework 144 9.3 Distribution System in Education 148 9.4 Technical Aspects of Distributed Systems in Education 149 9.5 Challenges and Limitations 153 9.6 Discussion 155 9.7 Conclusion 156 References 157 10 Advances in Education Policy Through the Integration of Distributed Computing Approaches 161 W. Vinu, Luigi P.L. Cavaliere, K. Suresh Kumar, Y. Venkata Ramana, Kunjan Shah, Kapil Joshi, and Nadanakumar Vinayagam 10.1 Introduction 161 10.2 Distributed Computing Approaches 164 10.3 Advances in Education Policy Through Distributed Computing Approaches 167 10.4 Challenges: Privacy Concerns 171 10.5 Conclusion 174 References 174 11 Revolutionizing Data Management and Security with the Power of Blockchain and Distributed System 177 Radha R. Chandan, Fred Torres-Cruz, Ernesto N.T. Figueroa, Charles I. Mendoza-Mollocondo, Dharini R. Sisodia, Tanweer Alam, and Mohit Tiwari 11.1 Introduction 177 11.2 Blockchain Technology 179 11.3 Distributed System 182 11.4 Revolutionizing Data Management and Security with Blockchain and Distributed Systems 184 11.5 Challenges of Using Blockchain and Distributed Systems 186 11.6 Discussion 187 11.7 Conclusion 188 References 188 12 Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems 193 Aarti Dawra, K.K. Ramachandran, Debasis Mohanty, Jitendra Gowrabhathini, Brijesh Goswami, Dhyana S. Ross, and S. Mahabub Basha 12.1 Introduction 193 12.2 Applications of Distributed Systems in Business Development 195 12.3 The Importance of Ethics in Distributed Systems 198 12.4 Governance in Distributed Systems 201 12.5 Conclusion 206 References 206 13 Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance 211 Venkateswararao Podile, Satish M. Dhoke, Shouvik K. Guha, Frakruddin A. Ahmed, T.V.N.J.L. Haritha, V. Abhinav, and M. Anirudh 13.1 Introduction 211 13.2 Benefits of Distributed Systems 213 13.3 Prevention Techniques 215 13.4 Leveraging Distributed Systems for Fraud Detection and Prevention 220 13.5 Future Directions 223 13.6 Conclusion 225 References 225 14 Advances in E-commerce Through the Integration of Distributed Computing Approaches 229 Venkateswararao Podile, K. Suresh Kumar, Luigi P.L. Cavaliere, Sri R.R. Annapureddy, Katakam V. Siva Praneeth, Kanamarlapudi P.S. Sabareesh, and Devati B. Sambasiva Rao 14.1 Introduction 229 14.2 Distributed Computing Approaches for E-commerce 231 14.3 Integration of Distributed Computing Approaches in E-commerce 233 14.4 Advancements in E-commerce Through the Integration of Distributed Computing Approaches 236 14.5 Future Trends in the Integration of Distributed Computing Approaches in E-commerce 240 14.6 Conclusion 241 References 242 15 The Impact of Distributed Computing on Online Shopping and Consumer Experience 245 K. Suresh Kumar, Luigi P.L. Cavaliere, Mano A. Tripathi, T.S. Rajeswari, S.S.C. Mary, G.H.A. Vethamanikam, and Nadanakumar Vinayagam 15.1 Introduction 245 15.2 Benefits of Distributed Computing for Online Shopping 248 15.3 Limitations of Distributed Computing in Online Shopping 251 15.4 Impact of Distributed Computing on Online Shopping Trends 254 15.5 Ethical Implications of Distributed Computing in Online Shopping 256 15.6 Conclusion 257 References 257 16 Wireless Sensor-based IoT System with Distributed Optimization for Healthcare 261 Rohit Anand, Digvijay Pandey, Deena N. Gupta, M.K. Dharani, Nidhi Sindhwani, and J.V.N. Ramesh 16.1 Introduction 261 16.2 Literature Review 274 16.3 Challenges Faced by Existing Research 278 16.4 Proposed Research Methodology 278 16.5 Simulation of Research 279 16.6 Conclusion 283 16.7 Future Scope 283 References 284 17 Optimizing Financial Transactions and Processes Through the Power of Distributed Systems 289 K. Bhavana Raj, Kamakshi Mehta, Someshwar Siddi, M.K. Sharma, Dilip K. Sharma, Sunil Adhav, and José L.A. Gonzáles 17.1 Introduction 289 17.2 Overview of Financial Transactions and Processes 290 17.3 Distributed Systems in Finance 292 17.4 Blockchain Technology and Finance 295 17.5 Smart Contracts 297 17.6 Conclusion 299 References 300 18 Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation 305 Luigi P.L. Cavaliere, K. Suresh Kumar, Dilip K. Sharma, Himanshu Sharma, Sujay M. Jayadeva, Makarand Upadhyaya, and Nadanakumar Vinayagam 18.1 Introduction 305 18.2 Distributed Systems for Customer Segmentation 309 18.3 Distributed Systems for Market Intelligence 310 18.4 Distributed Systems for Customer Segmentation 311 18.5 Challenges in Integrating Distribution System in Market Intelligence 312 18.6 Conclusion 316 References 317 19 The Future of Financial Crime Prevention and Cybersecurity with Distributed Systems and Computing Approaches 321 Veer B.P. Singh, Pratibha Singh, Shouvik K. Guha, Asif I. Shah, Abdullah Samdani, M.Z.M. Nomani, and Mohit Tiwari 19.1 Introduction 321 19.2 Distributed Systems and Computing Approaches for Financial Crime Prevention and Cybersecurity 326 19.3 Challenges and Opportunities in Implementing Distributed Systems and Computing Approaches 330 19.4 Benefits of Distributed Systems in Financial Crime Prevention 335 19.5 Limitations of Distributed Systems in Financial Crime Prevention 335 19.6 Conclusion 336 References 337 20 Innovations in Distributed Computing for Enhanced Risk Management in Finance 341 Venkateswararao Podile, Syed M. Faisal, Gangu N. Mandala, Shaik Altaf , Nayana Harshitha, Cheedella A.S. Lakshmi, and Chunduru R. Chandan 20.1 Introduction 341 20.2 Theoretical Framework 343 20.3 Comparison of Distributed Computing Approaches for Finance Risk Management 345 20.4 Innovations in Distributed Computing for Enhanced Risk Management in Finance 345 20.5 Challenges and Limitations of Distributed Computing for Finance Risk Management 348 20.6 Future Directions 350 20.7 Conclusion 353 References 354 21 Leveraging Blockchain and Distributed Systems for Improved Supply Chain Traceability and Transparency 359 Luigi P.L. Cavaliere, S. Silas Sargunam, Dilip K. Sharma, Y. Venkata Ramana, K.K. Ramachandran, Umakant B. Gohatre, and Nadanakumar Vinayagam 21.1 Introduction 359 21.2 Overview of Blockchain and Distributed Systems 362 21.3 Applications of Blockchain and Distributed Systems in Supply Chain 365 21.4 Benefits and Limitations of Blockchain and Distributed Systems in Supply Chain 368 21.5 Conclusion 371 References 371 22 Advances in Resource Management Through the Integration of Distributed Computing Approaches 375 K. Jayalakshmamma Veena P. Vemuri, Elena Y. Zegarra, Jitendra Gowrabhathini, Fred Torres-Cruz, Julio C.L. Huanca, and José L.A. Gonzáles 22.1 Introduction 375 22.2 Distributed Computing Approaches for Resource Management 377 22.3 Integration of Distributed Computing Approaches for Resource Management 381 22.4 Future Directions and Research Challenges 384 22.5 Discussion 388 22.6 Conclusion 389 References 390 Index 395

About the Author :
Rohit Anand, PhD, is an Assistant Professor in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G. B. Pant Engineering College), Government of NCT of Delhi, New Delhi, India. He has more than 21 years of teaching experience. He is a Life Member of the Indian Society for Technical Education (ISTE) and holds 4 patents. Abhinav Juneja, PhD, is a Professor at the KIET Group of Institutions, Ghaziabad, India. He has also worked as Associate Director and Professor at BMIET, Sonepat, India. He has more than 20 years of teaching experience. Digvijay Pandey, PhD, works in the Department of Technical Education, Kanpur, Government of Uttar Pradesh, India. He has more than 12 years of experience in the fields of industry and teaching. He holds 5 patents. Sapna Juneja, PhD, is a Professor in the KIET Group of Institutions, Ghaziabad, India. She has more than 17 years of teaching experience. Nidhi Sindhwani, PhD, is an Assistant Professor in Amity Institute of Information Technology, Amity University, Noida, India. She has more than 17 years of teaching experience. She is a Life Member of the ISTE and a Member of IEEE. She holds 4 patents.