Advances in Computers
- 1st Edition, Volume 123 - June 8, 2021
- Editor: Suyel Namasudra
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 2 4 1 2 1 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 1 2 2 - 6
Advances in Computers, Volume 123 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Downlink… Read more
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Request a sales quoteAdvances in Computers, Volume 123 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Downlink Resource Allocations of Satellite-Airborne-Terrestrial Networks Integration, Evaluating Software Testing Techniques: A Systematic Mapping Study, The Screening Phase in Systematic Reviews: Can we speed up the process?, A Survey on Cloud-Based Video Streaming Services, and User Behavior-Ensemble Learning based Improving QoE Fairness in HTTP Adaptive Streaming over SDN approach.
- Contains novel subject matter that is relevant to computer science
- Includes the expertise of contributing authors
- Presents an easy to comprehend writing style
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Chapter One: Downlink resource allocations of satellite–airborne–terrestrial networks integration
- Abstract
- 1: Introduction and motivation
- 2: System model
- 3: Problem formulation
- 4: Proposed solution
- 5: Simulation and numerical results
- 6: Conclusion and future directions
- Chapter Two: Evaluating software testing techniques: A systematic mapping study
- Abstract
- 1: Introduction
- 2: Background
- 3: Research method
- 4: Classification schemes
- 5: Evaluating software testing techniques: A map of the field
- 6: Discussion
- 7: Case study
- 8: Threats to validity
- 9: Conclusions
- Chapter Three: The screening phase in systematic reviews: Can we speed up the process?
- Abstract
- 1: Introduction
- 2: Evidence-based research in software engineering
- 3: Effective article screening: The problem and the solution
- 4: The implementation of the automatic screening
- 5: The experiment description
- 6: Related work
- 7: Conclusion and future work
- Chapter Four: A survey on cloud-based video streaming services
- Abstract
- 1: Introduction
- 2: The mystery of video streaming operation
- 3: Video streaming: Challenges and solutions
- 4: Cloud-based video streaming
- 5: Summary and future research directions
- Chapter Five: User behavior-ensemble learning based improving QoE fairness in HTTP adaptive streaming over SDN approach
- Abstract
- 1: Introduction
- 2: State of the art
- 3: Contributions
- 4: Analysis and discuss
- 5: Conclusion
- No. of pages: 280
- Language: English
- Edition: 1
- Volume: 123
- Published: June 8, 2021
- Imprint: Academic Press
- Hardback ISBN: 9780128241219
- eBook ISBN: 9780128241226
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Suyel Namasudra
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.