Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 712826, 18 pages
http://dx.doi.org/10.1155/2014/712826
Review Article

Big Data: Survey, Technologies, Opportunities, and Challenges

1Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
2Department of Computer Science, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan
3Department of Computer Science, University of Engineering and Technology Peshawar, Peshawar 2500, Pakistan
4Saudi Electronic University, Riyadh, Saudi Arabia
5Universiti Kuala Lumpur, 50603 Kuala Lumpur, Malaysia

Received 6 April 2014; Accepted 28 May 2014; Published 17 July 2014

Academic Editor: Jung-Ryul Lee

Copyright © 2014 Nawsher Khan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [65 citations]

The following is the list of published articles that have cited the current article.

  • Stefan Kehrer, Dierk Jugel, and Alfred Zimmermann, “Categorizing Requirements for Enterprise Architecture Management in Big Data Literature,” 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), pp. 1–8, . View at Publisher · View at Google Scholar
  • Basheer Qolomany, Ala Al-Fuqaha, Driss Benhaddou, and Ajay Gupta, “Role of Deep LSTM Neural Networks and Wi-Fi Networks in Support of Occupancy Prediction in Smart Buildings,” 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 50–57, . View at Publisher · View at Google Scholar
  • J. Ramsingh, and V. Bhuvaneswari, “Data analytic on diabetic awareness with Hadoop streaming using map reduce in python,” 2016 IEEE International Conference on Advances in Computer Applications (ICACA), pp. 346–350, . View at Publisher · View at Google Scholar
  • Ameera M. Almasoud, Hend S. Al-Khalifa, and Abdulmalik Al-Salman, “Recent developments in data mining applications and techniques,” 2015 Tenth International Conference on Digital Information Management (ICDIM), pp. 36–42, . View at Publisher · View at Google Scholar
  • Muhammad Iqbal, Syed Hasnain Alam Kazmi, Amir Manzoor, Abdul Rehman Soomrani, Shujaat Hussain Butt, and Khurram Adeel Shaikh, “A study of big data for business growth in SMEs: Opportunities & challenges,” 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1–7, . View at Publisher · View at Google Scholar
  • Alfred Daniel, Anand Paul, and Awais Ahmad, “Near real-time big data analysis on vehicular networks,” 2015 International Conference on Soft-Computing and Networks Security (ICSNS), pp. 1–7, . View at Publisher · View at Google Scholar
  • M. El Arass, I. Tikito, and N. Souissi, “Data lifecycles analysis: Towards intelligent cycle,” 2017 Intelligent Systems and Computer Vision (ISCV), pp. 1–8, . View at Publisher · View at Google Scholar
  • Richard Xian-Ke Gao, Si-Ping Gao, Hui Min Lee, and Wanlan Yang, “EMC design with embedded metamaterial technology,” 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC), pp. 513–517, . View at Publisher · View at Google Scholar
  • Meenu Dave, and Jahangir Kamal, “Identifying big data dimensions and structure,” 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 163–168, . View at Publisher · View at Google Scholar
  • Renato S. C. da Rocha, Leonardo Forero, Harold de Mello, Manoela Kohler, and Marley Vellasco, “Polarity classification on web-based reviews using Support Vector Machine,” 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp. 1–6, . View at Publisher · View at Google Scholar
  • Unknown, Nawsher Khan, Mohammed Alsaqer, Habib Shah, Gran Badsha, Aftab Ahmad Abbasi, and Soulmaz Salehian, “The 10 Vs, Issues and Challenges of Big Data,” Proceedings of the 2018 International Conference on Big Data and Education - ICBDE '18, pp. 52–56, . View at Publisher · View at Google Scholar
  • Gema Bello-Orgaz, Jason J. Jung, and David Camacho, “Social Big Data: Recent achievements and new challenges,” Information Fusion, 2015. View at Publisher · View at Google Scholar
  • R. Mohanasundaram, and P. S. Periasamy, “Clustering Based Optimal Data Storage Strategy Using Hybrid Swarm Intelligence in WSN,” Wireless Personal Communications, 2015. View at Publisher · View at Google Scholar
  • David C. Klonoff, “Precision medicine for managing diabetes,” Journal of Diabetes Science and Technology, vol. 9, no. 1, pp. 3–7, 2015. View at Publisher · View at Google Scholar
  • Hamdi Kchaou, Zied Kechaou, and Adel M. Alimi, “Towards an Offloading Framework based on Big Data Analytics in Mobile Cloud Computing Environments,” Procedia Computer Science, vol. 53, pp. 292–297, 2015. View at Publisher · View at Google Scholar
  • Ruidong Li, Hiroaki Harai, and Hitoshi Asaeda, “An Aggregatable Name-Based Routing for Energy-Efficient Data Sharing in Big Data Era,” IEEE Access, vol. 3, pp. 955–966, 2015. View at Publisher · View at Google Scholar
  • Jeannie Pridmore, and John Overocker, “Leadership and Technology,” Global Encyclopedia of Public Administration, Public Policy, and Governance, pp. 1–5, 2016. View at Publisher · View at Google Scholar
  • Ibrar Yaqoob, Victor Chang, Abdullah Gani, Salimah Mokhtar, Ibrahim Abaker Targio Hashem, Ejaz Ahmed, Nor Badrul Anuar, and Samee U. Khan, “Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions,” International Journal of Information Management, 2016. View at Publisher · View at Google Scholar
  • V. Sinthu Janita Prakash, and R. Merlin Packiam, “An empirical study on text analytics in big data,” 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2016. View at Publisher · View at Google Scholar
  • Zakira Inayat, Abdullah Gani, Nor Badrul Anuar, Muhammad Khurram Khan, and Shahid Anwar, “Intrusion response systems: Foundations, design, and challenges,” Journal Of Network And Computer Applications, vol. 62, pp. 53–74, 2016. View at Publisher · View at Google Scholar
  • Ivo D. Dinov, “Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data,” Gigascience, vol. 5, 2016. View at Publisher · View at Google Scholar
  • Abdullah Gani, Ejaz Ahmed, Athanasios V. Vasilakos, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Salimah Mokhtar, and Nor Badrul Anuar, “Big data: From beginning to future,” International Journal of Information Management, vol. 36, no. 6, pp. 1231–1247, 2016. View at Publisher · View at Google Scholar
  • Jane Henriksen-Bulmer, and Sheridan Jeary, “Re-identification attacks—A systematic literature review,” International Journal of Information Management, vol. 36, no. 6, pp. 1184–1192, 2016. View at Publisher · View at Google Scholar
  • Chaowei Yang, Qunying Huang, Zhenlong Li, Kai Liu, and Fei Hu, “Big Data and cloud computing: innovation opportunities and challenges,” International Journal of Digital Earth, pp. 1–41, 2016. View at Publisher · View at Google Scholar
  • Yonghong Yan, and Soulmaz Salehian, “Comparison of spark resource managers and distributed file systems,” Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016, pp. 567–572, 2016. View at Publisher · View at Google Scholar
  • Yi Wei, Shijun Liu, Jiao Sun, Lizhen Cui, Li Pan, and Lei Wu, “Big datasets for research: A survey on flagship conferences,” Proceedings - 2016 IEEE International Congress on Big Data, BigData Congress 2016, pp. 394–401, 2016. View at Publisher · View at Google Scholar
  • Nor Badrul Anuar, Ejaz Ahmed, Ibrahim Abaker Targio Hashem, Victor Chang, Kayode Adewole, Ibrar Yaqoob, Abdullah Gani, and Haruna Chiroma, “The role of big data in smart city,” International Journal of Information Management, vol. 36, no. 5, pp. 748–758, 2016. View at Publisher · View at Google Scholar
  • Marko Hoyhtya, Aarne Mammela, Marina Eskola, Marja Matinmikko, Juha Kalliovaara, Jaakko Ojaniemi, Jaakko Suutala, Reijo Ekman, Roger Bacchus, and Dennis Roberson, “Spectrum Occupancy Measurements: A Survey and Use of Interference Maps,” IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2386–2414, 2016. View at Publisher · View at Google Scholar
  • Naoki Kiyosawa, and Sunao Manabe, “Data-intensive drug development in the information age: applications of Systems Biology/Pharmacology/Toxicology,” The Journal of Toxicological Sciences, vol. 41, no. Special, pp. SP15–SP25, 2016. View at Publisher · View at Google Scholar
  • Abhay Kumar Bhadani, and Dhanya Jothimani, “Big Data:,” Effective Big Data Management and Opportunities for Implementation, pp. 1–24, 2016. View at Publisher · View at Google Scholar
  • Michael McGrath, Shah Jahan Miah, Huy Quan Vu, and John Gammack, “A Big Data Analytics Method for Tourist Behaviour Analysis,” Information and Management, vol. 54, no. 6, pp. 771–785, 2017. View at Publisher · View at Google Scholar
  • Vipin Tyagi, Gupta, and Singhpp. 1–162, 2017. View at Publisher · View at Google Scholar
  • P.K. Gupta, Vipin Tyagi, S.K. Singh, P. K. Gupta, Vipin Tyagi, and S. K. Singh, “Predictive Computing: A Technical Insight,” Predictive Computing and Information Security, pp. 55–72, 2017. View at Publisher · View at Google Scholar
  • Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, and Justin Zhan, “Data mining in distributed environment: a survey,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1216, 2017. View at Publisher · View at Google Scholar
  • Rajkumar Tekchandani, Rajesh Bhatia, and Maninder Singh, “Code clone genealogy detection on e-health system using Hadoop,” Computers & Electrical Engineering, vol. 61, pp. 15–30, 2017. View at Publisher · View at Google Scholar
  • Pasquale Del Vecchio, Alberto Di Minin, Antonio Messeni Petruzzelli, Umberto Panniello, and Salvatore Pirri, “Big data for open innovation in SMEs and large corporations: Trends, opportunities, and challenges,” Creativity and Innovation Management, 2017. View at Publisher · View at Google Scholar
  • Longbing Cao, “Data Science,” ACM Computing Surveys, vol. 50, no. 3, pp. 1–42, 2017. View at Publisher · View at Google Scholar
  • Kudang Boro Seminar, Heru Sukoco, Liyantono, and Dwi Susanto, “Parallel processing implementation on weather monitoring system for agriculture,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 6, no. 3, pp. 682–687, 2017. View at Publisher · View at Google Scholar
  • Shahid Anwar, Zakira Inayat, Mohamad Fadli Zolkipli, Jasni Mohamad Zain, Abdullah Gani, Nor Badrul Anuar, Muhammad Khurram Khan, and Victor Chang, “Cross-VM Cache-based Side Channel Attacks and Proposed Prevention Mechanisms: A survey,” Journal of Network and Computer Applications, 2017. View at Publisher · View at Google Scholar
  • G. Manikandan, and S. Abirami, “Big Data Layers and Analytics: A Survey,” Computer Communication, Networking and Internet Security, vol. 5, pp. 383–393, 2017. View at Publisher · View at Google Scholar
  • Jiming Hu, and Yin Zhang, “Discovering the interdisciplinary nature of Big Data research through social network analysis and visualization,” Scientometrics, 2017. View at Publisher · View at Google Scholar
  • Shahid Anwar, Jasni Mohamad Zain, Mohamad Fadli Zolkipli, Zakira Inayat, Suleman Khan, Bokolo Anthony, and Victor Chang, “From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions,” Algorithms, vol. 10, no. 2, pp. 39, 2017. View at Publisher · View at Google Scholar
  • Tikito, and Souissi, “Data collect requirements model,” ACM International Conference Proceeding Series, vol. 129474, 2017. View at Publisher · View at Google Scholar
  • Feng Xia, Wei Wang, Teshome Megersa Bekele, and Huan Liu, “Big Scholarly Data: A Survey,” IEEE Transactions on Big Data, vol. 3, no. 1, pp. 18–35, 2017. View at Publisher · View at Google Scholar
  • Ruidong Li, Hitoshi Asaeda, Jie Li, and Xiaoming Fu, “A distributed authentication and authorization scheme for in-network big data sharing,” Digital Communications and Networks, vol. 3, no. 4, pp. 226–235, 2017. View at Publisher · View at Google Scholar
  • Jorina Smeda, “Distinctive organisational business imperatives of Big Data: a literature review,” The Electronic Library, vol. 35, no. 6, pp. 1087–1097, 2017. View at Publisher · View at Google Scholar
  • Jiming Hu, and Yin Zhang, “Structure and patterns of cross-national Big Data research collaborations,” Journal of Documentation, 2017. View at Publisher · View at Google Scholar
  • Jacky Akoka, Isabelle Comyn-Wattiau, and Nabil Laoufi, “Research on Big Data – A systematic mapping study,” Computer Standards & Interfaces, 2017. View at Publisher · View at Google Scholar
  • Thiago Poleto, Victor Diogho Heuer De Carvalho, and Ana Paula Cabral Seixas Costa, “The full knowledge of big data in the integration of interorganizational information: An approach focused on decision making,” International Journal of Decision Support System Technology, vol. 9, no. 1, pp. 16–31, 2017. View at Publisher · View at Google Scholar
  • Gunasekaran Manogaran, and Daphne Lopez, “A survey of big data architectures and machine learning algorithms in healthcare,” International Journal of Biomedical Engineering and Technology, vol. 25, no. 2-4, pp. 182–211, 2017. View at Publisher · View at Google Scholar
  • Jelena Ignjatic, Nikola Suzic, Aleksandar Rikalovic, Bojana Nikolic, and Branislav Stevanov, “Predictive manufacturing systems in industry 4.0: Trends, benefits and challenges,” Annals of DAAAM and Proceedings of the International DAAAM Symposium, pp. 796–802, 2017. View at Publisher · View at Google Scholar
  • Hyunglok Jung, Jeonghoon Mo, and Jungju Park, “A Data-Driven Customer Quality of Experience System for a Cellular Network,” Mobile Information Systems, vol. 2017, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Dillon Chrimes, and Hamid Zamani, “Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services,” Computational and Mathematical Methods in Medicine, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Krishna Kumar Mohbey, “An Efficient Framework for Smart City Using Big Data Technologies and Internet of Things,” Progress in Advanced Computing and Intelligent Engineering, vol. 714, pp. 319–328, 2018. View at Publisher · View at Google Scholar
  • K. T. Sridhar, “Big Data Analytics Using SQL: Quo Vadis?,” Research and Practical Issues of Enterprise Information Systems, vol. 310, pp. 143–156, 2018. View at Publisher · View at Google Scholar
  • Jeannie Pridmore, and John Overocker, “Leadership and Technology,” Global Encyclopedia of Public Administration, Public Policy, and Governance, pp. 3627–3631, 2018. View at Publisher · View at Google Scholar
  • Kevin Washetine, Mehdi Kara-Borni, Simon Heeke, Christelle Bonnetaud, Jean-Marc Félix, Lydia Ribeyre, Coraline Bence, Marius Ilié, Olivier Bordone, Marine Pedro, Priscilla Maitre, Virginie Tanga, Emmanuelle Gormally, Pascal Mossuz, Philippe Lorimier, Charles Marquette, Jérôme Mouroux, Charlotte Cohen, Sandra Lassalle, Elodie Long-Mira, Bruno Clément, Georges Dagher, Véronique Hofman, and Paul Hofman, “Ensuring the Safety and Security of Frozen Lung Cancer Tissue Collections through the Encapsulation of Dried DNA,” Cancers, vol. 10, no. 6, pp. 195, 2018. View at Publisher · View at Google Scholar
  • Can Eyupoglu, Muhammed Aydin, Abdul Zaim, and Ahmet Sertbas, “An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques,” Entropy, vol. 20, no. 5, pp. 373, 2018. View at Publisher · View at Google Scholar
  • J. Salazar Loor, and P. Fdez-Arroyabe, “Aerial and Satellite Imagery and Big Data: Blending Old Technologies with New Trends,” Big Data for Remote Sensing: Visualization, Analysis and Interpretation, pp. 39–59, 2018. View at Publisher · View at Google Scholar
  • Mouzhi Ge, Hind Bangui, and Barbora Buhnova, “Big data for internet of things: A survey,” Future Generation Computer Systems, 2018. View at Publisher · View at Google Scholar
  • Nikhil Mukund, Saurabh Thakur, Sheelu Abraham, A. K. Aniyan, Sanjit Mitra, Ninan Sajeeth Philip, Kaustubh Vaghmare, and D. P. Acharjya, “An Information Retrieval and Recommendation System for Astronomical Observatories,” The Astrophysical Journal Supplement Series, vol. 235, no. 1, pp. 22, 2018. View at Publisher · View at Google Scholar
  • Samira Pouyanfar, Yimin Yang, Shu-Ching Chen, Mei-Ling Shyu, and S. S. Iyengar, “Multimedia Big Data Analytics,” ACM Computing Surveys, vol. 51, no. 1, pp. 1–34, 2018. View at Publisher · View at Google Scholar
  • Rinkle Rani, Himanshu Aggarwal, and Gourav Bathla, “Comparative study of NoSQL databases for big data storage,” International Journal of Engineering and Technology(UAE), vol. 7, no. 2, pp. 83–87, 2018. View at Publisher · View at Google Scholar
  • Essam El Fakharany, Omar Hesham Mohamed, and Mohamed Elemam Shehab, “Performance Enhancement of Distributed Clustering for Big Data Analytics,” Advances in Intelligent Systems and Computing, vol. 723, pp. 415–425, 2018. View at Publisher · View at Google Scholar
  • Sumathi Doraikannan, and Prabha Selvaraj, “Big Data and Digital Analytics,” Smart Marketing With the Internet of Things, pp. 47–65, 2019. View at Publisher · View at Google Scholar