Applications of cloud computing : approaches and practices / / edited by Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny

• Pubblicazione: Boca Raton : , : Chapman & Hall/CRC, , 2021
• Edizione: First edition.
• Descrizione fisica: 1 recurso en línea (210 pages) : il., gráf. y tablas
• Disciplina: 004.6782
• Soggetto topico: Cloud computing
• Soggetto genere / forma: Libros electrónicos
• Soggetto non controllato: Informática
• Classificazione: C6190V
• Persona (resp. second.): SharmaPrerna; SharmaMoolchand; ElhosenyMohamed
• Nota di bibliografia: Incluye bibliografía e índice.
• Nota di contenuto: Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables and Figures -- Preface -- Editors -- Contributors -- About This Book -- Chapter 1: Analysis of Biological Information Using Statistical Techniques in Cloud Computing -- 1.1 What Is Bioinformatics? -- 1.1.1 A Brief History -- 1.1.2 Tools and Techniques -- 1.1.3 Future Scope -- 1.2 Cloud Analytics -- 1.2.1 Analytic Services -- 1.2.2 Bioinformatics Cloud -- 1.3 Bioinformatics Cloud Computing Services -- 1.3.1 Data as a Service (DaaS) -- 1.3.1.1 EMBOSS -- 1.3.1.2 J-GLOBAL -- 1.3.1.3 Gene Set Builder -- 1.3.1.4 BioDWH -- 1.3.1.5 AWS Public Datasets -- 1.3.1.6 SeqHound -- 1.3.2 Software as a Service (SaaS) -- 1.3.2.1 Lhasa Cloud -- 1.3.2.2 eCEO -- 1.3.2.3 StormSeq -- 1.3.2.4 Crossbow -- 1.3.2.5 CloudBurst -- 1.3.3 Platform as a Service (PaaS) -- 1.3.3.1 DNAnexus -- 1.3.3.2 Magallanes -- 1.3.3.3 Google Genomics -- 1.3.3.4 Syapse -- 1.3.3.5 BioServices -- 1.3.3.6 Eoulsan -- 1.3.4 Infrastructure as a Service (IaaS) -- 1.3.4.1 Google Compute Engine -- 1.3.4.2 GoGrid -- 1.3.4.3 HP Helion -- 1.3.4.4 Joyent -- 1.4 CSIM Architecture -- 1.5 Implementation Challenges -- 1.5.1 Security and Privacy -- 1.5.2 Legal Aspects -- References -- Chapter 2: Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.1 Introduction -- 2.1.1 Introduction to Intelligent Cloud Computing -- 2.1.2 Contemporary Advancements in Bioinformatics Data Analysis -- 2.1.3 Reasons for the Use of Intelligent Cloud Computing in Bioinformatics -- 2.1.4 Terminology and Abbreviations -- 2.2 Principal Disciplines of Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.2.1 Intelligent Cloud Computing Architecture -- 2.2.2 Current Frameworks in Bioinformatics Data Analysis -- 2.2.2.1 MapReduce with Hadoop for Big Data Analysis. ; 2.2.2.2 Applications of Service Models -- 2.2.2.3 Cloud Developments in Translational Biomedical Sciences -- 2.3 Bioinformatics Data Analysis Methodologies Compared -- 2.3.1 AiNET (Artificial Immune NETwork) -- 2.3.2 Microarray Data Analysis -- 2.4 Challenges and Opportunities -- 2.4.1 Technical Challenges and Scope for Improvement -- 2.4.1.1 Workload Factoring -- 2.4.1.2 Network Bandwidth -- 2.4.1.3 Heterogeneous Distributed Database System -- 2.4.2 Implementations and Applications -- 2.5 Further Advancements -- 2.6 Conclusion -- References -- Chapter 3: Cloud Computing Service Models: Traditional and User-Centric Approaches -- 3.1 Introduction -- 3.2 Traditional Cloud Computing Service Models -- 3.2.1 Types of Traditional Cloud Computing Service Models -- 3.2.1.1 Infrastructure as a Service -- 3.2.1.2 Platform as a Service -- 3.2.1.3 Software as a Service -- 3.2.2 Security Issues in Traditional Cloud Computing Service Models -- 3.2.2.1 Security Problems of SaaS -- 3.2.2.2 Security Problems of PaaS -- 3.2.2.3 Security Problems of IaaS -- 3.2.2.4 Current Security Solutions -- 3.2.3 Summary -- 3.3 A User-Centric Approach to a Mobile Cloud Computing Service Model -- 3.3.1 Current Mobile Cloud Services Models -- 3.3.2 Existing Mobile Cloud Applications -- 3.3.2.1 Mobile Cloud's Computational Task -- 3.3.2.2 Mobile Cloud Storage -- 3.3.2.3 Security and Privacy -- 3.3.2.4 MCC Context Awareness -- 3.3.3 From Internet Clouds to User-Centric Mobile Clouds -- 3.3.3.1 Current Mobile Cloud Computing and the Direction of Travel -- 3.3.3.2 The User-Centric Approach to Mobile Cloud Computing -- 3.3.4 Design Principles of User-Centric Mobile Cloud Computing -- 3.3.5 Mobile as a Representative: A User-Centric Methodology -- 3.3.6 User-Centric MaaR Model-Based Application Scenario -- 3.3.7 Summary -- 3.4 Case Studies -- 3.4.1 Instagram: The Billion-Dollar App. ; 3.4.2 Netflix: An Established Company That Shifted Its Entire Enterprise to the Cloud -- 3.4.3 NOAA, Email, and Collaboration in the Cloud: A Government Case -- 3.4.4 The Obama Campaign: A Not-for-Profit Case -- 3.4.5 Summary -- 3.5 Conclusion -- References -- Chapter 4: Biometrics as a Service -- 4.1 Introduction -- 4.2 Cloud and Mobility -- 4.3 Complex Threats and the Cybersecurity Landscape -- 4.3.1 Cloud-Enabled BYOD -- 4.3.2 Virtualization for BYOD -- 4.3.3 Emerging Mobile Business Workforce -- 4.3.4 The Financial and Banking Sector -- 4.3.4.1 Challenges -- 4.3.5 E-Commerce -- 4.3.5.1 Challenges -- 4.3.5.2 Variety of Devices and Operating Software -- 4.3.5.3 Identity and Access Management Difficulties in the Workplace -- 4.4 Emergence of Biometrics -- 4.4.1 Ubiquitous Biometric Technology -- 4.5 Taking Biometrics to the Cloud -- 4.5.1 Biometrics Meet Banking -- 4.5.2 Secure Payments -- 4.6 Biometrics as a Service Approaches -- 4.6.1 Market Challenges with Biometrics -- 4.7 Future Capabilities -- References -- Chapter 5: The Role of Intelligent Grid Technology in Cloud Computing -- 5.1 Introduction -- 5.2 Fundamentals of Grid and Cloud Computing -- 5.2.1 Grid Computing -- 5.2.1.1 Classification of Grid Operations -- 5.2.1.2 Benefits of Grid Computing -- 5.2.1.3 Disadvantages of Grid Computing -- 5.3 Cloud Computing -- 5.3.1 Types of Cloud -- 5.4 Models of Grid and Cloud Computing -- 5.4.1 Distributed Computing -- 5.5 Cloud Computing and Grid Computing Compared -- 5.6 Model -- 5.6.1 Software -- 5.6.2 Infrastructure -- 5.6.3 Platform -- 5.6.4 Applications -- 5.7 Virtualization and Cloud Computing -- 5.8 Techniques -- 5.8.1 Service Orientation and Web Services -- 5.8.2 Data Execution -- 5.8.3 Monitoring -- 5.8.4 Amazon Cloud Watch -- 5.8.5 Azure Diagnostic Monitor -- 5.8.6 Hyperic Cloud Status -- 5.8.7 Autonomic Computing. ; 5.8.8 Structure and Effects of Clouds and Grids -- 5.8.9 Interoperability -- 5.9 The Future of Grid Computing -- 5.10 Conclusion -- References -- Chapter 6: Application of Networks in Cloud Computing -- 6.1 Introduction to Cloud Networking -- 6.2 Networks -- 6.2.1 Types of Network -- 6.2.2 Network Operating Systems -- 6.2.3 Network Architecture -- 6.2.3.1 Cloud Architectural Layers -- 6.2.3.2 Network Architecture for Clouds -- 6.2.3.2.1 Data Centre Network -- 6.2.3.2.2 Data Centre Interconnect Network -- 6.2.3.2.3 Network Protocols -- 6.2.4 Network Security -- 6.3 Importance of Networking in Cloud Computing -- 6.4 Challenges in Existing Cloud Networks -- 6.5 Future Scope in Cloud Networking -- 6.6 Conclusion -- References -- Chapter 7: Privacy and Security Issues in Cloud Computing -- 7.1 Introduction -- 7.1.1 Definition -- 7.1.2 Service Models -- 7.1.2.1 Infrastructure as a Service (IaaS) -- 7.1.2.2 Platform as a Service (PaaS) -- 7.1.2.3 Software as a Service (SaaS) -- 7.1.3 Deployment Models -- 7.2 Research Challenges in Cloud Computing -- 7.3 Cloud Computing Solutions -- 7.3.1 Security Issues -- 7.3.1.1 Trusted Third Party -- 7.3.1.1.1 Low- and High-Level Confidentiality -- 7.3.1.1.2 Authentication of Server and Client -- 7.3.1.1.3 Formation of Security Domains -- 7.3.1.1.4 Data Cryptographic -- 7.3.1.1.5 Authorization Based on Certificate -- 7.3.1.1.5.1 Access Control Method -- 7.3.1.1.5.2 Policy Integration Method -- 7.3.2 Privacy Issues -- 7.3.2.1 Identity Management -- 7.3.2.2 User Control Methods -- 7.4 Conclusion -- References -- Chapter 8: Design and Development of E-Commerce-Oriented PaaS Application in Cloud Computing Environment -- 8.1 Introduction -- 8.2 Literature Survey -- 8.3 Proposed Framework -- 8.3.1 Steps involved in Verification and Validation of Application -- 8.3.2 Web Application -- 8.3.3 Credit Card Validation Process. ; 8.3.4 LUHN MOD 10 Algorithm -- 8.3.4.1 Steps of Luhn Algorithm -- 8.3.4.2 Example of Luhn Algorithm -- 8.3.4.3 Algorithm Used -- 8.4 Simulation Performed -- 8.4.1 Simulation Environment -- 8.4.2 Google App Engine -- 8.5 Implementation/Execution -- 8.6 Conclusion and Future Work -- References -- Chapter 9: UAV Environment in FANET: An Overview -- 9.1 Introduction -- 9.2 Related Work -- 9.3 FANET Overview -- 9.3.1 Categories of UAVs -- 9.3.2 UAV Communication -- 9.4 Routing Techniques -- 9.4.1 Clustering -- 9.4.2 Discovery -- 9.4.3 Link State -- 9.4.4 Mobility Information -- 9.4.5 Prediction -- 9.4.6 Energy Efficiency -- 9.4.7 Secured Link -- 9.4.8 Broadcasting -- 9.4.9 Store and Carry Forward -- 9.4.10 Greedy Forwarding -- 9.4.11 Static Technique -- 9.4.12 Hierarchical Technique -- 9.5 Cloud Computing in FANET -- 9.6 Mobility Models -- 9.7 Routing Protocols -- 9.7.1 Energy-Based Routing Protocols -- 9.7.2 Security-Based Routing Protocols -- 9.8 Challenges and Solutions -- 9.9 Conclusion -- References -- Chapter 10: A Transition from Cloud to Fog Computing: Identifying Features, Challenges and the Future -- 10.1 Introduction -- 10.2 From Cloud Computing to Fog Computing -- 10.3 Fog Computing -- 10.4 Differences between Cloud Computing and Fog Computing -- 10.5 Fog Computing Model -- 10.5.1 Layered Architecture of Fog Computing -- 10.6 Applications of Fog Computing -- 10.7 Advantages of Fog Computing -- 10.8 Application of Fog Computing in Smart Cities -- 10.8.1 Traffic Regulation -- 10.8.2 Waste Management -- 10.8.3 Environmental Control -- 10.8.4 Surveillance Systems -- 10.9 Limitations of Adopting Fog Computing -- References -- Index.
• Sommario/riassunto: "This book lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities"--; In the era of the Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such a humongous amount of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such a computing framework for a large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. Applications of Cloud Computing:Approaches and Practices lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into the applications of it. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.
• Titolo autorizzato: Applications of cloud computing
• ISBN: 1-00-302569-2; 1-000-21462-1; 1-003-02569-2; 1-000-21446-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910821386603321
• Lo trovi qui: Univ. Federico II