Tactical big data analytics: Challenges, use cases, and solutions

被引：0

作者：

Savas, Onur ^{[1
]}

Sagduyu, Yalin ^{[1
]}

Deng, Julia ^{[1
]}

Li, Jason ^{[1
]}

机构：

[1] Intelligent Automation, Inc, Rockville

来源：

Performance Evaluation Review | 2014年 / 41卷 / 04期

关键词：

Algorithms; Analytics; Big Data; Cloud Computing; Tacti-cal Environment;

D O I：

10.1145/2627534.2627561

中图分类号：

学科分类号：

摘要：

We discuss tactical challenges of the Big Data analytics re- garding the underlying data, application space, and com- puting environment, and present a comprehensive solution framework motivated by the relevant tactical use cases. First, we summarize the unique characteristics of the Big Data problem in the Department of Defense (DoD) context and underline the main differences from the commercial Big Data problems. Then, we introduce two use cases, (i) Big Data analytics with multi-intelligence (multi-INT) sensor data and (ii) man-machine crowdsourcing using MapReduce frame- work. For these two use cases, we introduce Big Data an- alytics and cloud computing solutions in a coherent frame- work that supports tactical data, application, and comput- ing needs.

引用

页码：86 / 89

页数：3

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