Plenary Lecture

On Some Challenges for Big Data Applications

Professor Zoran Bojkovic
Full Professor of Electrical Engineering
University of Belgrade
E-mail :

Abstract: Big Data is a term that describes large volume of data, both structured and unstructured. It is composed of text, image, video, audio, mobile or other forms of data collected from multiple data sets and is rapidly growing in size and complexity. Big Data has created a huge volume of multidimensional data within a very short time period. This raises several new challenges including how to classify Big Data for multiple data sets, how to analyze Big Data for different forms of data and how to visualize Big Data without loss of information. As the data can not be processed using traditional systems, it poses numerous challenges to the research community.Modern application domains throughout science and technology offer many opportunities for gathering and processing large amounts of data.Unfortunately, the deployment of resources for data acquisition and analysis is complicated by the fact that data are frequently obtained from multiple different sources, while the final objective involves an aggregation of these diverse data sets. Mobile Big Data has been already in our lives, being enriched rapidly and thus has to be carefully analyzed to achieve relevant information.This provides unique opportunities to understand behaviors and requirements of mobile users for real-time decisions in various applications. Nowadays new data systems and technologies are required to handle mobile Big Data in a high scalable, cost effective and fault-tolerant fashion. Three major Big Data markets, i.e., infrastructure, software and services are expected to grow over the next years. Infrastructure consists of computing, networking, storage. Thus, various disciplines such such as statistics, machine learning, graph theory, networking, parallel computing, security, are welcome. The purpose of this Plenary Lecture is to deal with some challenges for Big Data applications. The presentation is organized in three parts. In the first part, demands for Big Data followed with basic Map Reduce structure is presented, together with general architecture. Next, the second part invokes challenges for mobile Big Data applications. Finally, the third part deals with Big Data in mobile cloud sensing. A few open challenges issues that might foster future research are pointed out.

Brief Biography of the Speaker: Prof. Dr Zoran Bojkovic ( ) from the University of Belgrade, Serbia is the permanent Visiting Professor at the University of Texas at Arlington, UTA, TX, USA, EE Department, Multimedia System Lab. As Assistant Professor, he was a visiting researcher at Stanford University, Stanford, CA, USA, Information System Lab., hosted by Prof. Robert M. Gray. Until now, he was a visiting professor at more than 20 Universities worldwide and taught a number of courses in the field of digital signal processing, communication and computer networks, wire/wireless multimedia communications. Prof. Zoran Bojkovic is the co-author of 7 International Books published by Prentice-Hall, Wiley, CRC Press Taylor&Francis Group, Springer, Elsevier, etc. Some of the Books have been adopted in different countries and universities and have been translated in China, India, Canada, Singapore. Also, he is co-editor in 75 International Books and Conference Proceedings. He served and is still serving as Editor-in-Chief, Associate Editor, Guest Editor , Editorial Board Member and Reviewer in International Journals. He has published more than 460 papers in peer-reviewed journals and conference proceedings. Prof. Zoran Bojkovic has conducted many Keynote/Plenary/Invited Lectures, Workshops/ Tutorials, Seminars. As a result of numerous international collaboration, he participated in many international scientific and industrial projects. He is a LSM of IEEE, Member of EURASIP, IASTED, SERC Korea, expert in AMSET, expert in European Project Services, full member of Engineering Academy of Serbia, member of Serbian Scientific Society.

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