Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.
Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall.
Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.
Features:
A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of Things
Recent research results and some pointers to future advancements in architectures and methodologies
Detailed examples from clinical studies using several different data sets
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Academic
Illustrationen
67 s/w Abbildungen, 33 s/w Photographien bzw. Rasterbilder, 34 s/w Zeichnungen, 35 s/w Tabellen
35 Tables, black and white; 34 Line drawings, black and white; 33 Halftones, black and white; 67 Illustrations, black and white
Maße
Höhe: 260 mm
Breite: 183 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-1-032-10150-7 (9781032101507)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Pankaj Bhambri is working as Assistant Professor in the Department of Information Technology at Guru Nanak Dev Engineering College (GNDEC), Ludhiana, Punjab, INDIA. He is also handling the additional charge of Assistant Registrar in the Academic Section of the Institute. He is having more than 16 years of teaching experience. He received his M.Tech. (CSE) Degree and B.E. (IT) with HONORS Degree from the I.K.G. Punjab Technical University, Jalandhar, Punjab, INDIA and Dr. B.R. Ambedkar University, Agra, Uttar Pradesh, INDIA respectively. Dr. Bhambri completed his Ph.D. in Computer Science & Engineering from I.K.Gujral Punjab Technical University, Jalandhar, Punjab, INDIA. His research articles are published in many renowned International/ National Journals and Conference Proceedings. Dr. Bhambri has written many text books and filed various patents, too. His areas of interests are Machine Learning, Bioinformatics, Wireless Sensor Networks and Network Security.
Dr. Sita Rani is working as a Professor - Computer Science & Engineering and Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She has completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She obtained her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab in the year 2018.She has more than 19 years of teaching experience. She is an active member of IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award and International Young Scientist Award. She has contributed to the various research activities while publishing articles in the renowned journals and conference proceedings.She has published three international patents also. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 19 years of teaching experience. She is the member of Editorial Board of four international journals of repute. Her research interest includes Parallel and Distributed Computing, Machine Learning, and Internet of Things ( IoT).
Dr. Gaurav Gupta, is currently serving as Assistant Professor at Punjabi University, Patiala (Pb), India after completing his Ph.D, M.Tech and B.Tech in Computer Science & Engineering from the University. He has more than 17 years of teaching experience and has supervised more than 45 M.Tech Dissertations. He is also supervising 4 Ph.D research scholars. He has contributed 89 articles in many reputed Journals besides participating in some international conferences. His research interests include Machine Learning, Data Science, Data Mining & Warehousing, Big Data, CRM, Information Systems, Knowledge Management, Cloud Computing and DIP. He is a member of UACEE, IAENG, IACSIT and SDIWC. He is on editorial board of various Journals. Before joining Punjabi University, he served Chitkara University and RIMT University. He had delivered many Expert talks and headed workshops on Data Mining and its techniques in different colleges and universities. He also headed many committees at department and university level.
Dr. Alex Khang PH (Prof. of Information Technology) has over 20 years of non-stop teaching and researching at VIUST in Vietnam; VUST Virginia, USA; Global Research Institute of Technology and Engineering, North Carolina, USA. He is Session Chair for many Universities in the world and Editorial Board Member for ISSN of 2582-7464-CI Machine Learning, 0976-1136- A.I.I.F.J Organization; Globsyn Management Journal (GMJ), ISSN: 0973-9181, and member of Intl. International Advisory Committee for many International Conferences- VOL XIV, Issue 1 & 2 and ISSN: 0973-9181 Tradepreneur Global Academic Platform UK, and Group of CT University, Amity University, India USA and UK. He has published forty-eight (48) best-seller IT books since 2001 to 2012 at domestic market, 04 specialized technology IT books in the University; editor of 04 AI Books of CRC (978-0-367-70210-6, 978-1-032-10150-7, 978-1-032-21624-9, 978-1-032-17079-4) and calling chapters for 02 AI Books of CRC, and some IT books in English on Amazon. He also have reviewed and evaluated more than 120+ Journal papers, Book chapters and Science articles in AI, Data Science, IoT, Blockchain and Cloud Computing for CRC, Springer, Elsevier, Emerald, IGI-Global, and InderScience Publishers and some essays and thesis which come from Ph.D students and scholars in the world since 2010 up to now. He is a specialist of Data Engineering and Artificial Intelligence in IT Corporation and also in the contribution stage of knowledge and experience into the scope of tech talk, consultant, lecturer in full time and part-time, and evaluation on the sides of contents and engineering for the research, editor, Master / Ph.D thesis for local and international institutes and schools of Technology. He also has over 25 years of non-stop working in the field of Computer Science and specialized in the Software Engineering, Data Science and Artificial Intelligence fields for the foreign corporations from Sweden, USA, German, Singapore, and Multi-nations
Herausgeber*in
GNDEC, Ludhiana
GNDEC, Ludhiana
1. Resource Allocation Techniques in Cloud Computing. 2. Transforming Healthcare through Internet of Things. 3. IoT Motivated Cyber-Physical and Industrial Internet Systems. 4. Internet of Things in E-commerce: A Thematic Analysis. 5. Data Security and Privacy in Fog Computing Applications. 6. Energy-Efficient Cloud and Fog Computing in Internet of Things: Techniques and Challenges. 7. Deployment of Distributed Clustering Approach in WSNs and IoTs. 8. Long-Range IoT for Agricultural Acquisition through Cloud Computing. 9. Resource Allocation with Task Scheduling in Cloud Computing. 10. Service Availability of Virtual Machines in Cloud Computing. 11. Analysis of Security Challenges and Threats in Social Network and Cloud Computing. 12. Secured Trusted Authentication With Trust Based Congestion Scheme for V2V Communication. 13. MQTT Protocol-based Wide Range Smart Motor Control for Unmanned Electric Vehicular Application: A Case Study in IoT. 14. IoT-based Water Quality Monitoring System using Cloud for Agriculture Use.
