http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Advances in mobile cloud computing and big data in the 5G era
This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
Introduction and Applications of MCC and Big Data Paradigm in 5G Access; 1 Handling Big Data in the Era of Internet of Things (IoT); Abstract; 1 Introduction; 2 Big Data: Definition, Value and Features; 3 Big Data and Internet of Things; 4 Implementations; 4.1 The Hadoop Project; 4.2 Semantic Sensor Web; 5 Big Data Over the Cloud; 6 Privacy and Security Issues; 7 Conclusions; References; 2 Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges; Abstract; 1 Introduction; 2 Big Data: Background and Architecture.
3 Cloud-Supported Big Data: Towards a Cost-Benefit Analysis Model in Big Data-as-a-Service (BDaaS)4 Challenges and Open Research Issues; 5 Summary and Conclusion; Acknowledgements; References; 3 Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities; Abstract; 1 Introduction; 2 Mobile Cloud Computing: Concept and Core Ideas; 2.1 Mobile Cloud Computing Definition and Architecture; 2.2 Applications of Mobile Cloud Computing and Impact Areas.
3 Communicating the Business Value and Benefits of Mobile Cloud Computing to Non-technical Stakeholders: The Technical Debt Viewpoint4 Future Opportunities and Challenges; 5 Concluding Remarks; Acknowledgements; References; Architectures of MCC and Big Data Paradigm; 4 Heterogeneous Data Access Control Based on Trust and Reputation in Mobile Cloud Computing; Abstract; 1 Introduction; 2 Data Access Control in MCC; 2.1 MCC System Model; 2.2 Access Control on Mobile Cloud Data; 3 The State of Arts; 3.1 Overview of Data Security and Privacy in MCC; 3.1.1 Risks of Data Security in MCC.
3.1.2 Privacy Preservation in Cloud Computing3.2 Data Access Control in MCC; 3.2.1 Role-Based Access Control in Cloud Computing; 3.2.2 Attribute-Based Encryption for Cloud Computing; 3.3 Reputation and Trust Management in Cloud Computing; 3.3.1 Trust Management; 3.3.2 Reputation Management; 3.4 Open Research Issues; 4 Heterogeneous Data Access Control in MCC Based on Trust and Reputation: Three Schemes; 4.1 Scheme€1: Controlling Cloud Data Access Based on Reputation; 4.1.1 Reputation Generation; 4.1.2 The Proposed Scheme€1; 4.2 Scheme€2: Cloud Data Access Control Based on Trust Assessment.
4.2.1 Trust Assessment4.2.2 The Proposed Scheme€2; 4.2.3 Scheme Algorithms; 4.3 Scheme€3: Flexible Cloud Data Access Control Based on Trust and Reputation; 4.3.1 The Proposed Scheme€3; 5 Performance Evaluation and Analysis; 5.1 Performance Analysis; 5.1.1 Computational Complexity; 5.1.2 Data Confidentiality; 5.1.3 Flexibility; 5.1.4 Scalability; 5.2 Performance Test; 5.2.1 Performance Test of Scheme€1; 5.2.2 Performance Test of Scheme€2; 5.2.3 Performance Test of Scheme€3; 6 Discussions and Future Research Trends; 6.1 Usage Scenarios and Limitations for Practical Deployment.
Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre, editors.
Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Includes bibliographical references at the end of each chapters.