Alfredo Cuzzocrea
Paolo Ciancarini
ABSTRACT
This paper describes the anatomy of SeDaSOMA, a reference framework for supporting serendipitous, data-as-a-service-oriented, open big data management and analytics. The proposed framework aims at supporting advanced big data management and analytics by relying on innovative research findings and next-generation big data tools. The paper also depicts some Cloud-aware big data vertical applications of SeDaSOMA in specific scenarios that are currently of great interest.
- J. Chen, Y. Chen, X. Du, C. Li, J. Lu, S. Zhao, X. Zhou, “Big data challenge: a data management perspective”. Frontiers Comput. Sci. 7(2), pp. 157-164, 2013Google Scholar
Digital Library
- H. Zhang, G. Chen, B.C. Ooi, K.-L. Tan, M. Zhang, “In-Memory Big Data Management and Processing: A Survey”. IEEE Trans. Knowl. Data Eng. 27(7), pp. 1920-1948, 2015Google ScholarDigital Library
- A. Siddiqa, I.A.T. Hashem, I. Yaqoob, M. Marjani, S. Shamshirband, A. Gani, F. Nasaruddin, “A survey of big data management: Taxonomy and state-of-the-art”. J. Netw. Comput. Appl. 71, pp. 151-166, 2016Google ScholarDigital Library
- P. Russom, “Big data analytics”. TDWI Best Practices Report, fourth quarter, 2011Google Scholar
- P. Zikopoulos, C. Eaton, “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data”, McGraw-Hill Osborne Media, 1st. ed., 2011Google ScholarDigital Library
- A. Cuzzocrea, C. De Maio, G. Fenza, V. Loia, M. Parente, “OLAP Analysis of Multidimensional Tweet Streams for Supporting Advanced Analytics”. In: SAC 2016, pp. 992–999, 2016Google ScholarDigital Library
- I.A.T. Hashem, V. Chang, N.B. Anuar, K.S. Adewole, I. Yaqoob, A. Gani, E. Ahmed, H. Chiroma, “The role of big data in smart city”. Int. J. Inf. Manag. 36(5), pp. 748-758, 2016Google ScholarDigital Library
- W. Tan, M.B. Blake, I. Saleh, S. Dustdar, “Social-Network-Sourced Big Data Analytics”. IEEE Internet Comput. 17(5), pp. 62-69, 2013.Google ScholarDigital Library
- S. Boubiche, D.E. Boubiche, A. Bilami, H. Toral-Cruz, “Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks”. IEEE Access 6, pp. 20558-20571, 2018Google ScholarCross Ref
- L. Zhu, F.R. Yu, Y. Wang, B. Ning, T. Tang, “Big Data Analytics in Intelligent Transportation Systems: A Survey”. IEEE Trans. on Intelligent Transportation Systems 20(1), pp. 383-398, 2019Google ScholarCross Ref
- D. Laney, “3D Data Management: Controlling Data Volume, Velocity, and Variety”. META Group Technical Report, 2001.Google Scholar
- A. Cuzzocrea, P. Serafino, “LCS-Hist: taming massive high-dimensional data cube compression”. In: EDBT 2009, pp. 768-779, 2009.Google Scholar
- A. Cuzzocrea, D. Saccà, P. Serafino, “A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes”. In: DaWaK 2006, pp. 106-119, 2006Google Scholar
- A. Cuzzocrea, “Improving range-sum query evaluation on data cubes via polynomial approximation”. Data Knowl. Eng. 56(2), pp. 85-121, 2006Google ScholarDigital Library
- A. Cuzzocrea, U. Matrangolo, “Analytical Synopses for Approximate Query Answering in OLAP Environments”. In: DEXA 2004, pp. 359-370, 2004Google Scholar
- A Cuzzocrea, “Approximate OLAP query processing over uncertain and imprecise multidimensional data streams”. In: DEXA 2013, pp. 156-173, 2013Google Scholar
- A. Cuzzocrea, R. Moussa, G. Xu, “OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data”. In: MEDI 2013, pp. 38-49. 2013Google ScholarDigital Library
- J. Han, “OLAP Mining: Integration of OLAP with Data Mining”. In: DS-7 1997, pp. 3-20, 1997Google Scholar
- A. Cuzzocrea, “OLAP Intelligence: Meaningfully Coupling OLAP and Data Mining Tools and Algorithms”. International Journal of Business Intelligence and Data Mining 4(3/4), pp. 213-218, 2009Google Scholar
- A. Cuzzocrea, “Scalable OLAP-based big data analytics over cloud infrastructures: Models, issues, algorithms”. In: ICCBDC 2017, pp. 17-21, 2017Google ScholarDigital Library
- A. Cuzzocrea, F. Jiang, C.K. Leung, D. Liu, A. Peddle, S.K. Tanbeer, “Mining popular patterns: a novel mining problem and its application to static transactional databases and dynamic data streams”. Transactions on Large-Scale Data-and Knowledge-Centered Systems XXI, pp. 115-139, 2015Google ScholarCross Ref
- J.J. Cameron, A. Cuzzocrea, F. Jiang, C.K. Leung, “Frequent pattern mining from dense graph streams”. In: EDBT/ICDT Workshops 2014, pp. 240-247, 2014Google Scholar
- A. Adadi, “A survey on data-efficient algorithms in big data era”. J. Big Data 8(1), pp. 1-54, 2021Google ScholarCross Ref
- G. Chatzimilioudis, A. Cuzzocrea, D. Gunopulos, N. Mamoulis, “A novel distributed framework for optimizing query routing trees in wireless sensor networks via optimal operator placement”. J. Comput. Syst. Sci. 79(3), pp. 349-368, 2013Google ScholarDigital Library
- European Commission, Horizon 2020 – The EU Framework Programme for Research and Innovation, https://ec.europa.eu/programmes/horizon2020/enGoogle Scholar
- Y. Wang, J. Wei, M. Srivatsa, Y. Duan, W. Du, “IntegrityMR: Integrity assurance framework for big data analytics and management applications”. In: BigData 2013, pp. 33-40, 2013Google Scholar
- S. Fiore, C. Palazzo, A. D'Anca, I.T. Foster, D.N. Williams, G. Aloisio, “A big data analytics framework for scientific data management”. In: BigData 2013, pp. 1-8, 2013Google Scholar
- D. Puthal, S. Nepal, R. Ranjan, J. Chen, “A Secure Big Data Stream Analytics Framework for Disaster Management on the Cloud”. In: HPCC/SmartCity/DSS 2016, pp. 1218-1225, 2016Google ScholarCross Ref
- M.F. Abdullah, M. Ibrahim, H. Zulkifli, “Big Data Analytics Framework for Natural Disaster Management in Malaysia”. In: IoTBDS 2017, pp. 406-411, 2017Google ScholarCross Ref
- G. Terrazas, N. Ferry, S.M. Ratchev, “A cloud-based framework for shop floor big data management and elastic computing analytics”. Comput. Ind. 109, pp. 204-214, 2019Google ScholarDigital Library
- A. Jindal, N. Kumar, M. Singh, “A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities”. Future Gener. Comput. Syst. 108, pp. 921-934, 2020Google ScholarCross Ref
- R. Buyle, R. Taelman, K. Mostaert, G. Joris, E. Mannens, R. Verborgh, T. Berners-Lee, “Streamlining governmental processes by putting citizens in control of their personal data”. In: Proc. Int. Conf. on Electronic Governance and Open Society: Challenges in Eurasia 2019, pp. 346-359, 2019Google Scholar
- M.A. Elmeiligy, A.I. El-Desouky, S.M. El-Ghamrawy, “A Multi-Dimensional Big Data Storing System for Generated COVID-19 Large-Scale Data using Apache Spark”. CoRR abs/2005.05036, 2020Google Scholar
- A. Cuzzocrea, S. Mansmann, “OLAP Visualization”. Encyclopedia of Data Warehousing and Mining 2009, pp. 1439-1446, 2009Google Scholar
- K.E. Barkwell, A. Cuzzocrea, C.K. Leung, A.A. Ocran, J.M. Sanderson, “Big data visualisation and visual analytics for music data mining”, In: IV 2018, pp. 235-240, 2018Google ScholarCross Ref
- D. Teng, J. Kong, F. Wang, “Scalable and flexible management of medical image big data”. Distributed Parallel Databases 37(2), pp. 235-250, 2019Google ScholarDigital Library
- A.K. Shukla, P.K. Muhuri, “Big-data clustering with interval type-2 fuzzy uncertainty modeling in gene expression datasets”. Eng. Appl. Artif. Intell. 77, pp. 268-282, 2019Google ScholarCross Ref
- Y. Chen, J. Guo, C. Li, W. Ren, “FaDe: A Blockchain-Based Fair Data Exchange Scheme for Big Data Sharing”. Future Internet 11(11), art. 225, 2019Google ScholarCross Ref
Index Terms
- SeDaSOMA: A Framework for Supporting Serendipitous, Data-As-A-Service-Oriented, Open Big Data Management and Analytics
Index terms have been assigned to the content through auto-classification.
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