{"product_id":"meta-heuristic-algorithms-for-advanced-distributed-systems-isbn-9781394188062","title":"Meta-Heuristic Algorithms for Advanced Distributed Systems","description":"\u003cb\u003eMETA-HEURISTIC ALGORITHMS \u003csmall\u003eFOR\u003c\/small\u003e ADVANCED DISTRIBUTED SYSTEMS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDiscover a collection of meta-heuristic algorithms for distributed systems in different application domains\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMeta-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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e readers will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAnalysis of security issues, distributed system design, stochastic optimization techniques, and more\u003c\/li\u003e \u003cli\u003eDetailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others\u003c\/li\u003e \u003cli\u003eApplications of optimized distribution systems in healthcare and other key??industries\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e is ideal for academics and researchers studying distributed systems, their design, and their applications. \u003c\/p\u003e\u003cp\u003eAbout the Book xix\u003c\/p\u003e \u003cp\u003eAbout the Editors xxi\u003c\/p\u003e \u003cp\u003eList of Contributors xxiii\u003c\/p\u003e \u003cp\u003ePreface xxxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Future of Business Management with the Power of Distributed Systems and Computing 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVenkateswararao Podile, Nitin Kulshrestha, Sushmita Goswami, Lavanya Durga, B. Rachanasree, T. Pavan Reddy, and P. Shreya Sarojini\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Understanding Distributed Systems and Computing 2\u003c\/p\u003e \u003cp\u003e1.3 Applications of Distributed Systems and Computing in Business Management 6\u003c\/p\u003e \u003cp\u003e1.4 Limitations of Distributed Systems in Business Management 11\u003c\/p\u003e \u003cp\u003e1.5 Future Developments and Opportunities 15\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 17\u003c\/p\u003e \u003cp\u003eReferences 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Applications of Optimized Distributed Systems in Healthcare 21\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAyush Thakur, Suruchi Verma, Nidhi Sindhwani, and Rashmi Vashisth\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 21\u003c\/p\u003e \u003cp\u003e2.2 Literature Survey 23\u003c\/p\u003e \u003cp\u003e2.3 Real Cases 32\u003c\/p\u003e \u003cp\u003e2.4 Conclusion 34\u003c\/p\u003e \u003cp\u003eReferences 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 The Impact of Distributed Computing on Data Analytics and Business Insights 39\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHaider Mehraj, Vinay K. Nassa, A.S.K. Reddy, K.V.D. Sagar, Dilip K. Sharma, Shyamasundar Tripathy, and Franklin J. Selvaraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 39\u003c\/p\u003e \u003cp\u003e3.2 Distributed Computing and Data Analytics 41\u003c\/p\u003e \u003cp\u003e3.3 Business Insights and Decision-Making 45\u003c\/p\u003e \u003cp\u003e3.4 Challenges and Limitations 47\u003c\/p\u003e \u003cp\u003e3.5 The Impact of Distributed Computing on Data Analytics 48\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 50\u003c\/p\u003e \u003cp\u003eReferences 50\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Machine Learning and Its Application in Educational Area 53\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAbhinav Tripathi, Yashasvi Singh, Arti Sharma, Ajay Kumar Shrivastava, and Saurabh Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 53\u003c\/p\u003e \u003cp\u003e4.2 Previous Work 54\u003c\/p\u003e \u003cp\u003e4.3 Technique 54\u003c\/p\u003e \u003cp\u003e4.4 Analysis of Data 56\u003c\/p\u003e \u003cp\u003e4.5 Educational Data Mining 56\u003c\/p\u003e \u003cp\u003e4.6 Hadoop Approach 57\u003c\/p\u003e \u003cp\u003e4.7 Artificial Neural Network (ANN) 58\u003c\/p\u003e \u003cp\u003e4.8 Decision Tree 59\u003c\/p\u003e \u003cp\u003e4.9 Results\/Discussion 59\u003c\/p\u003e \u003cp\u003e4.9.1 Personalized Learning Through Adaptive Learning 59\u003c\/p\u003e \u003cp\u003e4.10 Increasing Efficiency Using Learning Analytics 60\u003c\/p\u003e \u003cp\u003e4.11 Predictive Analysis for Better Assessment Evaluation 61\u003c\/p\u003e \u003cp\u003e4.12 Future Scope 61\u003c\/p\u003e \u003cp\u003e4.13 Conclusion 61\u003c\/p\u003e \u003cp\u003eReferences 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Approaches and Methodologies for Distributed Systems: Threats, Challenges, and Future Directions 67\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBhawna and Veena Parihar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 67\u003c\/p\u003e \u003cp\u003e5.2 Distributed Systems 68\u003c\/p\u003e \u003cp\u003e5.3 Literature Review 69\u003c\/p\u003e \u003cp\u003e5.4 Threats to Distributed Systems Security 70\u003c\/p\u003e \u003cp\u003e5.5 Security Standards and Protocols 72\u003c\/p\u003e \u003cp\u003e5.6 Network Security 73\u003c\/p\u003e \u003cp\u003e5.7 Access Control 74\u003c\/p\u003e \u003cp\u003e5.8 Authentication and Authorization 76\u003c\/p\u003e \u003cp\u003e5.9 Privacy Concerns 78\u003c\/p\u003e \u003cp\u003e5.10 Case Studies 79\u003c\/p\u003e \u003cp\u003e5.11 Conclusion 80\u003c\/p\u003e \u003cp\u003e5.12 Future Scope 81\u003c\/p\u003e \u003cp\u003eReferences 81\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Efficient-driven Approaches Related to Meta-Heuristic Algorithms using Machine Learning Techniques 85\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAshima Arya, Swasti Singhal, and Rashika Bangroo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 85\u003c\/p\u003e \u003cp\u003e6.2 Stochastic Optimization 86\u003c\/p\u003e \u003cp\u003e6.3 Heuristic Search 89\u003c\/p\u003e \u003cp\u003e6.4 Meta-Heuristic 90\u003c\/p\u003e \u003cp\u003e6.5 Machine Learning 94\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Security and Privacy Issues in Distributed Healthcare Systems – A Survey 103\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManish Bhardwaj, Samad Noeiaghdam, and Yu-Chen Hu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 103\u003c\/p\u003e \u003cp\u003e7.2 Previous Study 106\u003c\/p\u003e \u003cp\u003e7.3 Security and Privacy Needs 109\u003c\/p\u003e \u003cp\u003e7.4 Security and Privacy Goals 111\u003c\/p\u003e \u003cp\u003e7.5 Type of Attacks in Distributed Systems 114\u003c\/p\u003e \u003cp\u003e7.6 Recommendations and Future Approaches 116\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 117\u003c\/p\u003e \u003cp\u003eReferences 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Implementation and Analysis of the Proposed Model in a Distributed e-Healthcare System 123\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManish Bhardwaj, Sanjiv Sharma, and Amit K. Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 123\u003c\/p\u003e \u003cp\u003e8.2 Outmoded Systems 125\u003c\/p\u003e \u003cp\u003e8.3 Distributed Systems 126\u003c\/p\u003e \u003cp\u003e8.4 Previous Work 129\u003c\/p\u003e \u003cp\u003e8.5 Service-Oriented Architecture of e-Healthcare 131\u003c\/p\u003e \u003cp\u003e8.6 Implementation of the Proposed Model 133\u003c\/p\u003e \u003cp\u003e8.7 Evaluation of the Proposed Model Performance 134\u003c\/p\u003e \u003cp\u003e8.8 Conclusion and Future Work 135\u003c\/p\u003e \u003cp\u003eReferences 136\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Leveraging Distributed Systems for Improved Educational Planning and Resource Allocation 141\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eS. Durga, Priti Gupta, Latika Kharb, P.S. Ranjit, Venkata Harshavardhan Reddy Dornadula, Kali Charan Modak, and Geetha Manoharan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 141\u003c\/p\u003e \u003cp\u003e9.2 Theoretical Framework 144\u003c\/p\u003e \u003cp\u003e9.3 Distribution System in Education 148\u003c\/p\u003e \u003cp\u003e9.4 Technical Aspects of Distributed Systems in Education 149\u003c\/p\u003e \u003cp\u003e9.5 Challenges and Limitations 153\u003c\/p\u003e \u003cp\u003e9.6 Discussion 155\u003c\/p\u003e \u003cp\u003e9.7 Conclusion 156\u003c\/p\u003e \u003cp\u003eReferences 157\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Advances in Education Policy Through the Integration of Distributed Computing Approaches 161\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eW. Vinu, Luigi P.L. Cavaliere, K. Suresh Kumar, Y. Venkata Ramana, Kunjan Shah, Kapil Joshi, and Nadanakumar Vinayagam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 161\u003c\/p\u003e \u003cp\u003e10.2 Distributed Computing Approaches 164\u003c\/p\u003e \u003cp\u003e10.3 Advances in Education Policy Through Distributed Computing Approaches 167\u003c\/p\u003e \u003cp\u003e10.4 Challenges: Privacy Concerns 171\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 174\u003c\/p\u003e \u003cp\u003eReferences 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Revolutionizing Data Management and Security with the Power of Blockchain and Distributed System 177\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRadha R. Chandan, Fred Torres-Cruz, Ernesto N.T. Figueroa, Charles I. Mendoza-Mollocondo, Dharini R. Sisodia, Tanweer Alam, and Mohit Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 177\u003c\/p\u003e \u003cp\u003e11.2 Blockchain Technology 179\u003c\/p\u003e \u003cp\u003e11.3 Distributed System 182\u003c\/p\u003e \u003cp\u003e11.4 Revolutionizing Data Management and Security with Blockchain and Distributed Systems 184\u003c\/p\u003e \u003cp\u003e11.5 Challenges of Using Blockchain and Distributed Systems 186\u003c\/p\u003e \u003cp\u003e11.6 Discussion 187\u003c\/p\u003e \u003cp\u003e11.7 Conclusion 188\u003c\/p\u003e \u003cp\u003eReferences 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Enhancing Business Development, Ethics, and Governance with the Adoption of Distributed Systems 193\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAarti Dawra, K.K. Ramachandran, Debasis Mohanty, Jitendra Gowrabhathini, Brijesh Goswami, Dhyana S. Ross, and S. Mahabub Basha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 193\u003c\/p\u003e \u003cp\u003e12.2 Applications of Distributed Systems in Business Development 195\u003c\/p\u003e \u003cp\u003e12.3 The Importance of Ethics in Distributed Systems 198\u003c\/p\u003e \u003cp\u003e12.4 Governance in Distributed Systems 201\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 206\u003c\/p\u003e \u003cp\u003eReferences 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Leveraging Distribution Systems for Advanced Fraud Detection and Prevention in Finance 211\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVenkateswararao Podile, Satish M. Dhoke, Shouvik K. Guha, Frakruddin A. Ahmed, T.V.N.J.L. Haritha, V. Abhinav, and M. Anirudh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 211\u003c\/p\u003e \u003cp\u003e13.2 Benefits of Distributed Systems 213\u003c\/p\u003e \u003cp\u003e13.3 Prevention Techniques 215\u003c\/p\u003e \u003cp\u003e13.4 Leveraging Distributed Systems for Fraud Detection and Prevention 220\u003c\/p\u003e \u003cp\u003e13.5 Future Directions 223\u003c\/p\u003e \u003cp\u003e13.6 Conclusion 225\u003c\/p\u003e \u003cp\u003eReferences 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Advances in E-commerce Through the Integration of Distributed Computing Approaches 229\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVenkateswararao 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\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 229\u003c\/p\u003e \u003cp\u003e14.2 Distributed Computing Approaches for E-commerce 231\u003c\/p\u003e \u003cp\u003e14.3 Integration of Distributed Computing Approaches in E-commerce 233\u003c\/p\u003e \u003cp\u003e14.4 Advancements in E-commerce Through the Integration of Distributed Computing Approaches 236\u003c\/p\u003e \u003cp\u003e14.5 Future Trends in the Integration of Distributed Computing Approaches in E-commerce 240\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 241\u003c\/p\u003e \u003cp\u003eReferences 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 The Impact of Distributed Computing on Online Shopping and Consumer Experience 245\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK. Suresh Kumar, Luigi P.L. Cavaliere, Mano A. Tripathi, T.S. Rajeswari, S.S.C. Mary, G.H.A. Vethamanikam, and Nadanakumar Vinayagam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 245\u003c\/p\u003e \u003cp\u003e15.2 Benefits of Distributed Computing for Online Shopping 248\u003c\/p\u003e \u003cp\u003e15.3 Limitations of Distributed Computing in Online Shopping 251\u003c\/p\u003e \u003cp\u003e15.4 Impact of Distributed Computing on Online Shopping Trends 254\u003c\/p\u003e \u003cp\u003e15.5 Ethical Implications of Distributed Computing in Online Shopping 256\u003c\/p\u003e \u003cp\u003e15.6 Conclusion 257\u003c\/p\u003e \u003cp\u003eReferences 257\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Wireless Sensor-based IoT System with Distributed Optimization for Healthcare 261\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRohit Anand, Digvijay Pandey, Deena N. Gupta, M.K. Dharani, Nidhi Sindhwani, and J.V.N. Ramesh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 261\u003c\/p\u003e \u003cp\u003e16.2 Literature Review 274\u003c\/p\u003e \u003cp\u003e16.3 Challenges Faced by Existing Research 278\u003c\/p\u003e \u003cp\u003e16.4 Proposed Research Methodology 278\u003c\/p\u003e \u003cp\u003e16.5 Simulation of Research 279\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 283\u003c\/p\u003e \u003cp\u003e16.7 Future Scope 283\u003c\/p\u003e \u003cp\u003eReferences 284\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Optimizing Financial Transactions and Processes Through the Power of Distributed Systems 289\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK. Bhavana Raj, Kamakshi Mehta, Someshwar Siddi, M.K. Sharma, Dilip K. Sharma, Sunil Adhav, and José L.A. Gonzáles\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 289\u003c\/p\u003e \u003cp\u003e17.2 Overview of Financial Transactions and Processes 290\u003c\/p\u003e \u003cp\u003e17.3 Distributed Systems in Finance 292\u003c\/p\u003e \u003cp\u003e17.4 Blockchain Technology and Finance 295\u003c\/p\u003e \u003cp\u003e17.5 Smart Contracts 297\u003c\/p\u003e \u003cp\u003e17.6 Conclusion 299\u003c\/p\u003e \u003cp\u003eReferences 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Leveraging Distributed Systems for Improved Market Intelligence and Customer Segmentation 305\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eLuigi P.L. Cavaliere, K. Suresh Kumar, Dilip K. Sharma, Himanshu Sharma, Sujay M. Jayadeva, Makarand Upadhyaya, and Nadanakumar Vinayagam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 305\u003c\/p\u003e \u003cp\u003e18.2 Distributed Systems for Customer Segmentation 309\u003c\/p\u003e \u003cp\u003e18.3 Distributed Systems for Market Intelligence 310\u003c\/p\u003e \u003cp\u003e18.4 Distributed Systems for Customer Segmentation 311\u003c\/p\u003e \u003cp\u003e18.5 Challenges in Integrating Distribution System in Market Intelligence 312\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 316\u003c\/p\u003e \u003cp\u003eReferences 317\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 The Future of Financial Crime Prevention and Cybersecurity with Distributed Systems and Computing Approaches 321\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVeer B.P. Singh, Pratibha Singh, Shouvik K. Guha, Asif I. Shah, Abdullah Samdani, M.Z.M. Nomani, and Mohit Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 321\u003c\/p\u003e \u003cp\u003e19.2 Distributed Systems and Computing Approaches for Financial Crime Prevention and Cybersecurity 326\u003c\/p\u003e \u003cp\u003e19.3 Challenges and Opportunities in Implementing Distributed Systems and Computing Approaches 330\u003c\/p\u003e \u003cp\u003e19.4 Benefits of Distributed Systems in Financial Crime Prevention 335\u003c\/p\u003e \u003cp\u003e19.5 Limitations of Distributed Systems in Financial Crime Prevention 335\u003c\/p\u003e \u003cp\u003e19.6 Conclusion 336\u003c\/p\u003e \u003cp\u003eReferences 337\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Innovations in Distributed Computing for Enhanced Risk Management in Finance 341\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVenkateswararao Podile, Syed M. Faisal, Gangu N. Mandala, Shaik Altaf , Nayana Harshitha, Cheedella A.S. Lakshmi, and Chunduru R. Chandan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 341\u003c\/p\u003e \u003cp\u003e20.2 Theoretical Framework 343\u003c\/p\u003e \u003cp\u003e20.3 Comparison of Distributed Computing Approaches for Finance Risk Management 345\u003c\/p\u003e \u003cp\u003e20.4 Innovations in Distributed Computing for Enhanced Risk Management in Finance 345\u003c\/p\u003e \u003cp\u003e20.5 Challenges and Limitations of Distributed Computing for Finance Risk Management 348\u003c\/p\u003e \u003cp\u003e20.6 Future Directions 350\u003c\/p\u003e \u003cp\u003e20.7 Conclusion 353\u003c\/p\u003e \u003cp\u003eReferences 354\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Leveraging Blockchain and Distributed Systems for Improved Supply Chain Traceability and Transparency 359\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eLuigi P.L. Cavaliere, S. Silas Sargunam, Dilip K. Sharma, Y. Venkata Ramana, K.K. Ramachandran, Umakant B. Gohatre, and Nadanakumar Vinayagam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 359\u003c\/p\u003e \u003cp\u003e21.2 Overview of Blockchain and Distributed Systems 362\u003c\/p\u003e \u003cp\u003e21.3 Applications of Blockchain and Distributed Systems in Supply Chain 365\u003c\/p\u003e \u003cp\u003e21.4 Benefits and Limitations of Blockchain and Distributed Systems in Supply Chain 368\u003c\/p\u003e \u003cp\u003e21.5 Conclusion 371\u003c\/p\u003e \u003cp\u003eReferences 371\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Advances in Resource Management Through the Integration of Distributed Computing Approaches 375\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK. Jayalakshmamma Veena P. Vemuri, Elena Y. Zegarra, Jitendra Gowrabhathini, Fred Torres-Cruz, Julio C.L. Huanca, and José L.A. Gonzáles\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction 375\u003c\/p\u003e \u003cp\u003e22.2 Distributed Computing Approaches for Resource Management 377\u003c\/p\u003e \u003cp\u003e22.3 Integration of Distributed Computing Approaches for Resource Management 381\u003c\/p\u003e \u003cp\u003e22.4 Future Directions and Research Challenges 384\u003c\/p\u003e \u003cp\u003e22.5 Discussion 388\u003c\/p\u003e \u003cp\u003e22.6 Conclusion 389\u003c\/p\u003e \u003cp\u003eReferences 390\u003c\/p\u003e \u003cp\u003eIndex 395\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRohit Anand, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbhinav Juneja, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDigvijay Pandey, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSapna Juneja, PhD,\u003c\/b\u003e is a Professor in the KIET Group of Institutions, Ghaziabad, India. She has more than 17 years of teaching experience. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eNidhi Sindhwani, PhD,\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDiscover a collection of meta-heuristic algorithms for distributed systems in different application domains\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eMeta-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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e readers will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAnalysis of security issues, distributed system design, stochastic optimization techniques, and more\u003c\/li\u003e \u003cli\u003eDetailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others\u003c\/li\u003e \u003cli\u003eApplications of optimized distribution systems in healthcare and other key??industries\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMeta-Heuristic Algorithms for Advanced Distributed Systems\u003c\/i\u003e is ideal for academics and researchers studying distributed systems, their design, and their applications.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989610086629,"sku":"NP9781394188062","price":150.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394188062.jpg?v=1761784797","url":"https:\/\/k12savings.com\/es\/products\/meta-heuristic-algorithms-for-advanced-distributed-systems-isbn-9781394188062","provider":"K12savings","version":"1.0","type":"link"}