Advances in Big Data and Cloud Computing -

Advances in Big Data and Cloud Computing (eBook)

Proceedings of ICBDCC18
eBook Download: PDF
2018 | 1st ed. 2019
XIV, 587 Seiten
Springer Singapore (Verlag)
978-981-13-1882-5 (ISBN)
Systemvoraussetzungen
149,79 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This volume primarily focuses on the application of the knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies. The articles featured in this proceeding provide novel ideas that contribute to the growth of world class research and development. The contents of this volume will be of interest to researchers and professionals alike.



J. Dinesh Peter is currently working as Associate Professor, Department of Computer Sciences Technology at Karunya University, Coimbatore. Prior to this, he was a full time research scholar at National Institute of Technology, Calicut, India, from where he received his PhD in computer science and engineering. His research focus includes Big-data, image processing and computer vision. He has several publications in various reputed international journals and conference papers which are widely referred to. He is a member of IEEE, CSI & IEI and has served as session chairs and delivered plenary speeches for various international conferences and workshops. He has conducted many international conferences and been as editor for Springer proceedings and many special issues in journals.

Amir H. Alavi received his PhD degree in Civil Infrastructure Systems from Michigan State University (MSU). He also holds a M.S. and B.S. in Civil and Geotech^ 4100 times; h-index = 34). More, he is selected as the advisory board of Universal Scientific Education and Research Network (USERN), which belongs to all top 1% scientists and the Nobel laureates in the world.

Dr. Bahman Javadi is a Senior Lecturer in Networking and Cloud Computing at the Western Sydney University, Australia. Prior to this appointment, he was a Research Fellow at the University of Melbourne, Australia. From 2008 to 2010, he was a Postdoctoral Fellow at the INRIA Rhone-­-Alpes, France. He received his MS and PhD degrees in Computer Engineering from the Amirkabir University of Technology in 2001 and 2007, respectively. He has been a Research Scholar at the School of Engineering and Information Technology, Deakin University, Australia during his PhD course. He is cofounder of the Failure Trace Archive, which serves as a public repository of failure traces and algorithms for distributed systems. He has received numerous Best Paper Awards at IEEE/ACM conferences for his research papers. He served as a program committee of many international conferences and workshops. His research interests include Cloud computing, performance evaluation of large scale distributed computing systems, and reliability and fault tolerance. He is a member of ACM and senior member of IEEE.


This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This volume primarily focuses on the application of the knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies. The articles featured in this proceeding provide novel ideas that contribute to the growth of world class research and development. The contents of this volume will be of interest to researchers and professionals alike.

J. Dinesh Peter is currently working as Associate Professor, Department of Computer Sciences Technology at Karunya University, Coimbatore. Prior to this, he was a full time research scholar at National Institute of Technology, Calicut, India, from where he received his PhD in computer science and engineering. His research focus includes Big-data, image processing and computer vision. He has several publications in various reputed international journals and conference papers which are widely referred to. He is a member of IEEE, CSI & IEI and has served as session chairs and delivered plenary speeches for various international conferences and workshops. He has conducted many international conferences and been as editor for Springer proceedings and many special issues in journals.Amir H. Alavi received his PhD degree in Civil Infrastructure Systems from Michigan State University (MSU). He also holds a M.S. and B.S. in Civil and Geotech^ 4100 times; h-index = 34). More, he is selected as the advisory board of Universal Scientific Education and Research Network (USERN), which belongs to all top 1% scientists and the Nobel laureates in the world. Dr. Bahman Javadi is a Senior Lecturer in Networking and Cloud Computing at the Western Sydney University, Australia. Prior to this appointment, he was a Research Fellow at the University of Melbourne, Australia. From 2008 to 2010, he was a Postdoctoral Fellow at the INRIA Rhone-­-Alpes, France. He received his MS and PhD degrees in Computer Engineering from the Amirkabir University of Technology in 2001 and 2007, respectively. He has been a Research Scholar at the School of Engineering and Information Technology, Deakin University, Australia during his PhD course. He is cofounder of the Failure Trace Archive, which serves as a public repository of failure traces and algorithms for distributed systems. He has received numerous Best Paper Awards at IEEE/ACM conferences for his research papers. He served as a program committee of many international conferences and workshops. His research interests include Cloud computing, performance evaluation of large scale distributed computing systems, and reliability and fault tolerance. He is a member of ACM and senior member of IEEE.

Chapter 1: Big-Data.- Chapter 2: Cloud Computing.- Chapter 3: Cloud Security.- Chapter 4: Data Analytics in Cloud.- Chapter 5: Big-Data and Cloud Computing Applications.

Erscheint lt. Verlag 12.12.2018
Reihe/Serie Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Zusatzinfo XIV, 587 p. 224 illus., 162 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Nachrichtentechnik
Schlagworte Big Data • Big Data and Cloud Computing applications • Cloud Computing • Cloud Security • Data Analytics in Cloud
ISBN-10 981-13-1882-4 / 9811318824
ISBN-13 978-981-13-1882-5 / 9789811318825
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 21,0 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
17,43