Tactical big data analytics

Autor: Yalin E. Sagduyu, Onur Savas, Julia Deng, Jason Li
Rok vydání: 2014
Předmět:
Zdroj: ACM SIGMETRICS Performance Evaluation Review. 41:86-89
ISSN: 0163-5999
Popis: We discuss tactical challenges of the Big Data analytics regarding 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 framework. For these two use cases, we introduce Big Data analytics and cloud computing solutions in a coherent frame- work that supports tactical data, application, and computing needs.
Databáze: OpenAIRE