This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management. This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.

The emergence of Java as the dominant object oriented programming language has resulted in upcoming OODBMS products such as Ozone, which are purely Java based. It has also resulted in upgradation of existing OODBMS products extending their features with Java environment. In the ORDBMS product line, Oracle 9i and DB2 are offering considerable object oriented database features. All these new developments are discussed in the Second Edition. The first edition of this compact text evoked good response from the readers. The new edition continues to provide a good exposure on object database systems, in terms of different approaches to object data management as well as the various architectures of object database systems. The three major approaches, semantic database systems approach, object-oriented programming language extension approach, and relational extension approach (leading to object relational system) are covered in detail. Exercises have been added at the end of each chapter to sharpen the analytical abilities of the reader. The book will be extremely useful to computer professionals and postgraduate students studying courses in database systems area.

This book provides a good exposure to object database systems, both in terms of different approaches and architectures.