Policy Driven Node Selection in MapReduce

Anna Squicciarini; Dan Lin; Smitha Sundareswaran; Jingwei Li

International Conference on Security and Privacy in Communication Networks. 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014, Revised Selected Papers, Part I

Research Article

Policy Driven Node Selection in MapReduce

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@INPROCEEDINGS{10.1007/978-3-319-23829-6_5,
    author={Anna Squicciarini and Dan Lin and Smitha Sundareswaran and Jingwei Li},
    title={Policy Driven Node Selection in MapReduce},
    proceedings={International Conference on Security and Privacy in Communication Networks. 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014, Revised Selected Papers, Part I},
    proceedings_a={SECURECOMM},
    year={2015},
    month={11},
    keywords={MapReduce Node selection Access control},
    doi={10.1007/978-3-319-23829-6_5}
}

Anna Squicciarini
Dan Lin
Smitha Sundareswaran
Jingwei Li
Year: 2015
Policy Driven Node Selection in MapReduce
SECURECOMM
Springer
DOI: 10.1007/978-3-319-23829-6_5

Anna Squicciarini¹^,*, Dan Lin²^,*, Smitha Sundareswaran¹^,*, Jingwei Li³^,*

1: Pennsylvania State University
2: Missouri University of Science and Technology
3: Nankai University

*Contact email: asquicciarini@ist.psu.edu, lindan@mst.edu, sus263@psu.edu, lijw1987@gmail.com

Abstract

The MapReduce framework has been widely adopted for processing Big Data in the cloud. While efficient, MapReduce offers very complicated (if any) means for users to request nodes that satisfy certain security and privacy requirements to process their data.

Keywords: MapReduce Node selection Access control

Published: 2015-11-23
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-23829-6_5