Title
Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns
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.
Year
DOI
Venue
2015
10.1109/35021BIGCOMP.2015.7072814
BigComp
Keywords
Field
DocType
cryptography,market research,data privacy,databases,big data,servers
Tree traversal,Computer science,Cryptography,Server,Information privacy,Big data,Database,Scalability,Cloud computing,Overhead (business),Distributed computing
Conference
ISSN
Citations 
PageRank 
2375-933X
0
0.34
References 
Authors
12
9
Name
Order
Citations
PageRank
Divyakant Agrawal182011674.75
Amr El Abbadi267671569.95
Vaibhav Arora3655.55
Ceren Budak41096.60
Theodore Georgiou5442.90
Hatem Mahmoud6624.05
Faisal Nawab711612.83
Cetin Sahin8172.63
Shiyuan Wang9603.37