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Advances in Mobile Cloud Computing and Big Data in the 5G Era pp 23–41Cite as

Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges

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Part of the book series: Studies in Big Data ((SBD,volume 22))

Abstract

The proliferation of data warehouses and the rise of multimedia, social media and the Internet of Things (IoT) generate an increasing volume of structured, semi-structured and unstructured data. Towards the investigation of these large volumes of data, big data and data analytics have become emerging research fields, attracting the attention of the academia, industry and governments. Researchers, entrepreneurs, decision makers and problem solvers view ‘big data’ as the tool to revolutionize various industries and sectors, such as business, healthcare, retail, research, education and public administration. In this context, this survey chapter presents a review of the current big data research, exploring applications, opportunities and challenges, as well as the state-of-the-art techniques and underlying models that exploit cloud computing technologies, such as the big data-as-a-service (BDaaS) or analytics-as-a-service (AaaS).

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Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive comments and insights on the manuscript. Their suggestions have contributed greatly to the high quality and improvement of this article. The authors would also like to acknowledge networking support by the ICT COST Action IC1303: Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE) and the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet).

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Authors and Affiliations

  1. Mobile Systems (MoSys) Laboratory, Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Georgios Skourletopoulos & Constandinos X. Mavromoustakis

  2. Department of Informatics Engineering, Technological Educational Institute of Crete, Heraklion, Crete, Greece

    George Mastorakis, Spyros Panagiotakis & Evangelos Pallis

  3. Warsaw University of Technology, Nowowiejska Str. 15/19, Warsaw, Poland

    Jordi Mongay Batalla

  4. Faculty of Automatic Control and Computers, Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

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  1. Georgios Skourletopoulos
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  2. Constandinos X. Mavromoustakis
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  3. George Mastorakis
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  4. Jordi Mongay Batalla
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  5. Ciprian Dobre
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  6. Spyros Panagiotakis
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  7. Evangelos Pallis
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Correspondence to Georgios Skourletopoulos .

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Editors and Affiliations

  1. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  2. Department of Commerce and Marketing, Technological Educational Institute Crete, Crete, Greece

    George Mastorakis

  3. Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

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Skourletopoulos, G. et al. (2017). Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges. In: Mavromoustakis, C., Mastorakis, G., Dobre, C. (eds) Advances in Mobile Cloud Computing and Big Data in the 5G Era. Studies in Big Data, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-45145-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-45145-9_2

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