Distributed computing : concepts, methodologies, tools, and applications / Information Resources Management Association, editor.

Format:

Book

Author/Creator:

Information Resources Management Association, author.

Contributor:

Information Resources Management Association, editor.

Standardized Title:

Distributed computing (Engineering Science Reference (Publisher))

Language:

English

Subjects (All):

Electronic data processing--Distributed processing.

Electronic data processing.

Physical Description:

143 PDFs (4 volumes (2700 pages))

Place of Publication:

Hershey, PA : IGI Global, [2021]

System Details:

Mode of access: World Wide Web.

Summary:

"This book provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed system"-- Provided by publisher.

Contents:

Volume I. Section 1. Fundamental concepts and theories. Chapter 1. Analysis of mobile cloud computing: architecture, applications, challenges, and future perspectives ; Chapter 2. An overview on mobile cloud computing: impact on the auditing process ; Chapter 3. Examining of QoS in cloud computing technologies and IoT services ; Chapter 4. Introduction to fog computing

Section 2. Development and design methodologies. Chapter 5. On-demand routing protocols for vehicular cloud computing ; Chapter 6. Towards a secure, distributed, and reliable cloud-based reference architecture for big data in smart cities ; Chapter 7. Hierarchical load balancing model by optimal resource utilization ; Chapter 8. Unique taxonomy for evaluating fog computing services ; Chapter 9. Architecture for big data storage in different cloud deployment models ; Chapter 10. Mobile cloud computing integrating cloud, mobile computing, and networking services through virtualization ; Chapter 11. IoT big data architectures, approaches, and challenges: a fog-cloud approach ; Chapter 12. Design and implementation of multi-agent online auction systems in cloud computing ; Chapter 13. Building a secured XML real-time interactive data exchange architecture ; Chapter 14. Enhancing learner-centered instruction through tutorial management using cloud computing ; Chapter 15. Concept of cloud computing in ESB ; Chapter 16. Selection of cloud delivery and deployment models: an expert system approach ; Chapter 17. Virtualization in mobile cloud computing (VMCC) environments ; Chapter 18. Software-defined cloud infrastructure ; Chapter 19. Design and development of framework for platform level issues in fog computing ; Chapter 20. Fog vs. cloud computing architecture ; Chapter 21. Cloud computing as a catalyst in STEM education ; Chapter 22. Fault tolerance model for efficient actor recovery paradigm in WSAN ; Chapter 23. A novel meta-heuristic approach for load balancing in cloud computing ; Chapter 24. An enhanced task scheduling in cloud computing based on deadline-aware model ; Chapter 25. A conceptual model for cloud-based e-training in nursing education ; Chapter 26. A novel performance enhancing task scheduling algorithm for cloud-based e-health environment ; Chapter 27. Brokering cloud computing: pricing models and simulation approaches ; Chapter 28. Comparative study for different provisioning policies for load balancing in cloudsim ; Chapter 29. A hybrid batch mode fault tolerance strategy in desktop grids ; Chapter 30. A framework for collaborative and convenient learning on cloud computing platforms

Volume II. Chapter 31. A hierarchical hadoop framework to handle big data in geo-distributed computing environments ; Chapter 32. Image-based 3D reconstruction on distributed hash network ; Chapter 33. Performability modeling of distributed systems and its formal methods representation

Section 3. Tools and technologies. Chapter 34. Queuing analysis of cloud load balancing algorithms ; Chapter 35. Personalized recommendation mechanism based on collaborative filtering in cloud computing environment ; Chapter 36. A fault-tolerant scheduling algorithm based on checkpointing and redundancy for distributed real-time systems ; Chapter 37. The role of value facilitation regarding cloud service provider profitability in the cloud ecosystem ; Chapter 38. Anomaly detection in cloud computing and Internet of things environments: latest technologies ; Chapter 39. Big data processing on cloud computing using hadoop mapreduce and Apache spark ; Chapter 40. Towards green cloud computing an algorithmic approach for energy minimization in cloud data centers ; Chapter 41. An ant-colony-based meta-heuristic approach for load balancing in cloud computing ; Chapter 42. A heuristic approach for service allocation in cloud computing ; Chapter 43. Processing IoT data: from cloud to Fogit's time to be down to earth ; Chapter 44. Enhanced security for electronic health care information using obfuscation and RSA algorithm in cloud computing ; Chapter 45. Dynamic capabilities of decision-oriented service systems ; Chapter 46. Unique fog computing taxonomy for evaluating cloud services ; Chapter 47. From cloud computing to fog computing: platforms for the Internet of things (IoT) ; Chapter 48. Mobile health applications and cloud computing in cytopathology: benefits and potential ; Chapter 49. Energy-efficient task consolidation for cloud data center ; Chapter 50. Building intelligent transportation cloud data center based on SOA ; Chapter 51. Study on secure dynamic covering algorithm for e-logistics information in a cloud computing platform ; Chapter 52. Resource management in sensor cloud ; Chapter 53. Access control framework using multi-factor authentication in cloud computing ; Chapter 54. Fog computing qos review and open challenges ; Chapter 55. Domain knowledge embedding regularization neural networks for workload prediction and analysis in cloud computing ; Chapter 56. Analysis and development of load balancing algorithms in cloud computing ; Chapter 57. Current drift in energy efficiency cloud computing: new provocations, workload prediction, consolidation, and resource over commitment ; Chapter 58. Cloud-based predictive intelligence and its security model ; Chapter 59. Efficient fault tolerance on cloud environments ; Chapter 60. A high performance model for task allocation in distributed computing system using K-means clustering technique ; Chapter 61. A survey of tasks scheduling algorithms in distributed computing systems ; Chapter 62. "Saksham model" performance improvisation using node capability evaluation in apache hadoop ; Chapter 63. A novel task scheduling algorithm in heterogeneous cloud environment using equi-depth binning method ; Chapter 64. Failure detectors of strong S and perfect P classes for time synchronous hierarchical distributed systems

Volume III. Chapter 65. An efficient data replication algorithm for distributed systems ; Chapter 66. An artificial bee colony algorithm for detecting distributed predicates ; Chapter 67. A synchronized test control execution model of distributed systems ; Chapter 68. Machine learning techniques application: social media, agriculture, and scheduling in distributed systems ; Chapter 69. An efficient server minimization algorithm for internet distributed systems

Section 4. Utilization and applications. Chapter 70. Cognitive visual analytics of multi-dimensional cloud system monitoring data ; Chapter 71. Privacy preservation based on separation sensitive attributes for cloud computing ; Chapter 72. Harnessing cloud computing services for e-learning systems in higher education: impact and effects ; Chapter 73. Resource sharing: vehicle for effective library information dissemination and services in the digital age ; Chapter 74. An analysis of the factors affecting the adoption of cloud computing in higher educational institutions: a developing country perspective ; Chapter 75. Realm towards service optimization in fog computing ; Chapter 76. Cloud learning management system in higher education ; Chapter 77. On the conceptualization of elastic service evaluation in cloud computing ; Chapter 78. Roof to technology implementation: the adoption of cloud concept in various areas ; Chapter 79. Investigation into cloud computing adoption within the hedge fund industry ; Chapter 80. Cloud computing security issues of sensitive data ; Chapter 81. Strategic values of cloud computing transformation: a multi-case study of 173 adopters ; Chapter 82. Cloud computing in e-governance: Indian perspective ; Chapter 83. Resource provisioning and scheduling of big data processing jobs ; Chapter 84. A comprehensive report on security and privacy challenges in software as a service ; Chapter 85. Emerging technologies serving cytopathology: big data, the cloud, and mobile computing ; Chapter 86.

Quality evaluation of cloud and fog computing services in 5G networks ; Chapter 87. Vehicular fog computing paradigm: scenarios and applications ; Chapter 88. Fog/cloud service scalability, composition, security, privacy, and SLA management ; Chapter 89. Information retrieval and access in cloud ; Chapter 90. Confidentiality and safekeeping problems and techniques in fog computing ; Chapter 91. Distributed computing for internet of things (IoT) ; Chapter 92. Distributed top-K join queries optimizing for RDF datasets ; Chapter 93. Big data and healthcare data: a survey ; Chapter 94. Optimized path planning for electric vehicle routing and charging station navigation systems ; Chapter 95. An efficient stochastic update propagation method in data warehousing

Section 5. Organizational and social implications. Chapter 96. Challenges and opportunities in high performance cloud computing

Volume IV. Chapter 97. Attitude of library and information science professionals towards resource sharing and networking of academic libraries ; Chapter 98. Economics of resource sharing via library consortia ; Chapter 99. Factors affecting students' intention toward mobile cloud computing: mobile cloud computing ; Chapter 100. Exploring the use of cloud computing systems in tertiary education: the lived experiences of faculty members ; Chapter 101. Cloud computing, green computing, and green ICT ; Chapter 102. Attitudes towards cloud computing adoption in emerging economies ; Chapter 103. Benefits and challenges of cloud computing adoption and usage in higher education: a systematic literature review ; Chapter 104. Perspectives of the adoption of cloud computing in the tourism sector ; Chapter 105. Can interlending and document supply be undervalued: survival strategies of academic libraries in Nigeria ; Chapter 106. A study of person-technology fit in the cloud computing classroom ; Chapter 107. A comprehensive survey on privacy and security issues in cloud computing, Internet of things and cloud of things ; Chapter 108. Security of wireless sensor networks: the current trends and issues ; Chapter 109. A novel trust model for secure group communication in distributed computing ; Chapter 110. Adaptive threshold based scheduler for batch of independent jobs for cloud computing system ; Chapter 111. Solving job scheduling problem in computational grid systems using a hybrid algorithm ; Chapter 112. A comparative study and algorithmic analysis of workflow decomposition in distributed systems

Section 6. Managerial impact. Chapter 113. Impact of e-HRM strategies on organizational innovation by knowledge repository as mediating role ; Chapter 114. An overview of cloud and edge computing architecture and its current issues and challenges ; Chapter 115. The cloud in education: policy, leadership, and management issues ; Chapter 116. The role of trust in the acceptance of government cloud: an empirical study ; Chapter 117. Understanding intentions to switch toward cloud computing at firms' level: a multiple case study in Tunisia ; Chapter 118. Resource management in vehicular cloud computing

Section 7. Critical issues and challenges. Chapter 119. Detection of worms over cloud environment: a literature survey ; Chapter 120. Adoption of cloud computing in UAE: a survey of interplay between cloud computing ecosystem and its organizational adoption in UAE ; Chapter 121. Cloud computing education strategies: a review ; Chapter 122. A study on recent trends in cloud-based data processing for IoT era ; Chapter 123. Novel taxonomy to select fog products and challenges faced in fog environments ; Chapter 124. Distributed based serial regression multiple imputation for high dimensional multivariate data in multicore environment of cloud ; Chapter 125. The optimal checkpoint interval for the long-running application

Section 8. Emerging trends. Chapter 126. From ground to cloud: the school on the cloud ; Chapter 127. Projecting the future of cloud computing in education: a foresight study using the Delphi method ; Chapter 128. Advances in green cloud computing ; Chapter 129. Virtual supercomputer using volunteer computing ; Chapter 130. Edgecloud: a distributed management system for resource continuity in edge to cloud computing environment.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781799853404

OCLC:

1244621223