Meta-Heuristic Algorithms for Advanced Distributed Systems
John Wiley & Sons Inc (Verlag)
978-1-394-18806-2 (ISBN)
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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.
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.
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
| Erscheinungsdatum | 05.03.2024 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 158 x 231 mm |
| Gewicht | 635 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-394-18806-4 / 1394188064 |
| ISBN-13 | 978-1-394-18806-2 / 9781394188062 |
| Zustand | Neuware |
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