rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in mobile cloud computing and big data in the 5G era
  name:
    name part: Mavromoustakis, Constandinos X.
    name part: 1974-
  name:
    name part: Mastorakis, George
    name part: 1978-
  name:
    name part: Dobre, Ciprian.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: sz
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  note: Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre, editors.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references at the end of each chapters.
  subject:
    topic: Mobile computing
  subject:
    topic: Cloud computing
  subject:
    topic: Big data
  related item:
    title info:
      title: Advances in mobile cloud computing and big data in the 5G era
    origin info:
      publisher: Cham, Switzerland : Springer, 2016
    identifier: (OCoLC)953843079
  related item:
    title info:
      title: Studies in big data ; v. 22
  identifier: 9783319451459
  identifier: 9783319451435
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: IDEBK
    record creation date: 161122
    record change date: 20251008111954.0
    record identifier: 99576
    language of cataloging:
      language term: eng