Publication:
Hadoop MapReduce for Tactical Clouds

Loading...
Thumbnail Image
Authors
George, Johnu
Chen, Chien-An
Stoleru, Radu
Xie, Geoffrey G.
Sookoor, Tamim
Bruno, David
Subjects
hadoop
mobile cloud
map-reduce
Advisors
Date of Issue
2014-12-01
Date
01 December 2014
Publisher
IEEE
Language
Abstract
We envision a future where real-time computation on the battlefield provides the tactical advantage to an Army over its adversary. The ability to collect and process large amounts of data to provide actionable information to soldiers will greatly enhance their situational awareness. Our vision is based on the observation that the U.S. Military is attempting to equip soldiers with smartphones. While individual phones may not be sufficiently powerful for processing large amount of data, using the mobile devices carried by a squad or platoon of Soldiers as a single distributed computing platform, a Tactical Cloud, would enable large-scale data processing to be conducted in battlefields. In order for this vision to be realized, two issues have to be addressed. The first is the complexity of writing applications for distributed computing environments, and the second is the vulnerability of data on mobile devices. In this paper, we propose combining two existing technologies to address these issues. The first is Hadoop MapReduce, a scalable platform that provides distributed storage and computational capabilities on clusters of commodity hardware, and the second is the Mobile Distributed File System (MDFS) which allows distributed data storage with built-in reliability and security. By making the MDFS file system work with Hadoop on mobile devices, we hope to enable big data applications on tactical clouds.
Type
Article
Description
Published in: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)
The article of record as published may be found at http://dx.doi.org/10.1109/CloudNet.2014.6969015
Series/Report No
Department
Computer Science (CS)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
NSF
NAVSUP Fleet Logistics Center San Diego
Funder
Grants #1127449, #1145858
Grant No. N00244-12-1- 0035
Format
7 p.
Citation
George, Johnu, et al. "Hadoop mapreduce for tactical clouds." Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on. IEEE, 2014.
Distribution Statement
Rights
Collections