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2015 International Conference on Big Data and Smart Computing (BigComp) (2015)
Jeju, South Korea
Feb. 9, 2015 to Feb. 11, 2015
ISBN: 978-1-4799-7303-3
pp: 1-6
Divyakant Agrawal , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Amr El Abbadi , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Vaibhav Arora , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Ceren Budak , Microsoft Research
Theodore Georgiou , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Hatem A. Mahmoud , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Faisal Nawab , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Cetin Sahin , Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93106 USA
Shiyuan Wang , Google
ABSTRACT
With large elastic and scalable infrastructures, the Cloud is the ideal storage repository for Big Data applications. Big Data is typically characterized by three V's: Volume, Variety and Velocity. Supporting these properties raises significant challenges in a cloud setting, including partitioning for scale out; replication across data centers for fault-tolerance; significant latency overheads due to consistency requirements; efficient traversal needs due to high update and velocity; and continuous maintenance in the presence of large variety of data representations. Last but not least, the storage of private data necessitates the ability to efficiently execute queries in a privacy preserving manner (P), without revealing user access patterns. In this paper we highlight these challenges and illustrate sample state of the art solutions.
INDEX TERMS
Market research, Big data, Social network services, Data privacy, Databases, Servers, Cryptography
CITATION

D. Agrawal et al., "Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns," 2015 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Jeju, South Korea, 2015, pp. 1-6.
doi:10.1109/35021BIGCOMP.2015.7072814
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