List of Figures. List of Tables. Foreword. Preface. 1. Overview of Broadband Satellite Networks. Part I: Principles of Satellite Networks. 2. Basics of Networks. 3. Satellite Systems Engineering Methodology. 4. Network Systems and Examples. 5. Quality of Service in Layered Architecture. Part II: Satellite Network Technical Challenges. 6. Physical and Link Layers. 7. Satellite TCP/IP: Technical Challenges. 8. Satellite ATM: Technical Challenges. 9. Standards and Regulations. Part III: Satellite IP Networks Performance. 10. Quality of Service in IP Networks. 11. Performance of DiffServ Based Satellite IP. 12. Performance of MPLS. 13. Interactive Multimedia over Satellite. Part IV: Satellite ATM Networks Performance. 14. Quality of Service in ATM Networks. 15. Performance Analysis of TCP over Satellite ATM. 16. Bandwidth Allocation - An Example. References. Acronyms. Index. About the Authors.
"This book is by far the most comprehensive and orderly treatment of the subject. It is the work of experts with a wealth of both theoretical and practical experience with the subject and its connecting disciplines. It is an integral work... concepts and notation are at the same consistent level throughout the book. Quality of Service (QoS) is an absolutely critical part of any telecommunication services. This work fills a gap in the literature of what possibilities there are for satellites in providing global Internet services." Excerpted from the Foreword by Raymond L. Pickholtz, The George Washington University
Satelli te oceanography, as the term is used in this book, is a generic term that means application of the technology of aerospace electromagnetic remote sensing to the study of the oceans. The key words here are "application of technology **. to the study of the oceans." The goal is to learn more about our planet's hydrosphere. As such, remote sensing technology is another tool in the oceanographer's sea bag, just like a bathythermograph or a plankton net. But is a whole book necessary if remote sensing is just another tool? While it is true that no one has written a whole book on plankton nets, volumes have been written about what is found in those nets. Today's state-of-the-art measurements from spacecraft or aircraft first must be interpreted in terms of their physics; then the interpretations must be understood in terms of oceanic processes. This is not materially different from the analogy to Ii plankton net; marine biolo- gists still argue about what didn't get caught in the net.
This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities:
Section I: Foundations and Principles
Section II: Advanced Models and Architectures
Section III: Advanced Applications and Future Trends
The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.
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