The rise of “big data” on cloud computing: Review and open research issues
Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big...
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| Vydáno v: | Information systems (Oxford) Ročník 47; s. 98 - 115 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.01.2015
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| Témata: | |
| ISSN: | 0306-4379, 1873-6076 |
| On-line přístup: | Získat plný text |
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| Abstract | Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized.
•The amount of data continues to increase at an exponential rate.•Cloud computing and big data are conjoined.•Only a few tools are available to address the issues of big data processing in cloud.•Open research issues that require substantial research efforts are summarized. |
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| AbstractList | Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized.
•The amount of data continues to increase at an exponential rate.•Cloud computing and big data are conjoined.•Only a few tools are available to address the issues of big data processing in cloud.•Open research issues that require substantial research efforts are summarized. Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized. Cloud computing is a powerful technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Massive growth in the scale of data or big data generated through cloud computing has been observed. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis. The rise of big data in cloud computing is reviewed in this study. The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The relationship between big data and cloud computing, big data storage systems, and Hadoop technology are also discussed. Furthermore, research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance. Lastly, open research issues that require substantial research efforts are summarized. Adapted from the source document. |
| Author | Hashem, Ibrahim Abaker Targio Ullah Khan, Samee Yaqoob, Ibrar Mokhtar, Salimah Gani, Abdullah Anuar, Nor Badrul |
| Author_xml | – sequence: 1 givenname: Ibrahim Abaker Targio surname: Hashem fullname: Hashem, Ibrahim Abaker Targio email: targio@siswa.um.edu.my organization: Faculty of Computer Science and information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia – sequence: 2 givenname: Ibrar surname: Yaqoob fullname: Yaqoob, Ibrar email: ibraryaqoob@siswa.um.edu.my organization: Faculty of Computer Science and information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia – sequence: 3 givenname: Nor Badrul surname: Anuar fullname: Anuar, Nor Badrul email: badrul@um.edu.my organization: Faculty of Computer Science and information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia – sequence: 4 givenname: Salimah surname: Mokhtar fullname: Mokhtar, Salimah email: salimah@um.edu.my organization: Faculty of Computer Science and information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia – sequence: 5 givenname: Abdullah surname: Gani fullname: Gani, Abdullah email: abdullah@um.edu.my organization: Faculty of Computer Science and information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia – sequence: 6 givenname: Samee surname: Ullah Khan fullname: Ullah Khan, Samee email: samee.khan@ndsu.edu organization: NDSU-CIIT Green Computing and Communications Laboratory, North Dakota State University, Fargo, ND 58108, USA |
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