Big Data: Principles and Paradigms

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· Morgan Kaufmann
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Om denne e-bog

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry

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Om forfatteren

Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing andDistributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as thefounding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in CloudComputing. He has authored over 650 publications and seven textbooks including Mastering Cloud Computingfrom McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international marketsrespectively. Dr. Buyya is one of the most highly-cited authors in Computer Sience and Software Engineeringworldwide. “A Scientometric Analysis of Cloud Computing Literature by German scientists ranked Dr. Buyyaas the World's Top-Cited Author and the World's Most-Productive Author in Cloud Computing. He has beenrecognized as a Web of Science “Highly Cited Researcher for four consecutive years since 2016. Dr. Buyyawas recognized as Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award fromElsevier; "Lifetime Achievement Awards" from two Indian universities, and the “Best of the World, in theComputing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, andFog computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at severalacademic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led theestablishment and development of key community activities, including serving as foundation Chair of the IEEETechnical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and theinternational research leadership of Dr. Buyya are recognized through the award of the “2009 IEEE Medal forExcellence in Scalable Computing from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloudtechnology developed under his leadership has received the "Frost & Sullivan New Product Innovation Award."Dr. Buyya served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currentlyserving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field, establishedmore than 50 years ago.

Dr. Rodrigo Calheiros is a Research Fellow in the Department of Computing and Information Systems, The University of Melbourne, Australia. He has been doing contribution in the fields of big data and cloud computing since 2009. He designed and developed CloudSim, an Open Source tool for simulation of cloud platforms used research centers, universities, and companies worldwide.

Dr. Amir Vahid Dastjerdi is a research fellow with the Cloud Computing and Distributed Systems (CLOUDS) laboratory at the University of Melbourne. He received his PhD in computer science from the University of Melbourne and his areas of interest include Internet of Things, Big data, and cloud computing. He is a technology enthusiast who has over a decade experience in distributed systems.

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