TAILIEUCHUNG - Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data has been one of the current and future research frontiers. In this year, Gartner listed the Top 10 Strategic Technology Trends For 2013 and Top 10 Critical Tech Trends For The Next Five Years, and Big Data is listed in the both two. | ARTICLE IN PRESS Information Sciences xxx 2014 xxx-xxx Contents lists available at ScienceDirect Information Sciences journal homepage locate ins Data-intensive applications challenges techniques and technologies A survey on Big Data . Philip Chen Chun-Yang Zhang Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau China ARTICLE INFO ABSTRACT Article history Received 28 March 2013 Received in revised form 3 January 2014 Accepted 10 January 2014 Available online xxxx Keywords Big Data Data-intensive computing e-Science Parallel and distributed computing Cloud computing It is already true that Big Data has drawn huge attention from researchers in information sciences policy and decision makers in governments and enterprises. As the speed of information growth exceeds Moore s Law at the beginning of this new century excessive data is making great troubles to human beings. However there are so much potential and highly useful values hidden in the huge volume of data. A new scientific paradigm is born as data-intensive scientific discovery DISD also known as Big Data problems. A large number of fields and sectors ranging from economic and business activities to public administration from national security to scientific researches in many areas involve with Big Data problems. On the one hand Big Data is extremely valuable to produce productivity in businesses and evolutionary breakthroughs in scientific disciplines which give us a lot of opportunities to make great progresses in many fields. There is no doubt that the future competitions in business productivity and technologies will surely converge into the Big Data explorations. On the other hand Big Data also arises with many challenges such as difficulties in data capture data storage data analysis and data visualization. This paper is aimed to demonstrate a close-up view about Big Data including Big Data applications Big Data opportunities and

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