Data Flood: Helping the Navy Address the Rising Tide of Sensor Information | |
Isaac R. Porche III ; Bradley Wilson ; Erin-Elizabeth Johnson ; Shane Tierney ; Evan Saltzman | |
RAND Corporation | |
RAND Corporation | |
关键词: Military Information Technology Systems; Big Data; Intelligence Analysis; United States Navy; Intelligence Collection; Data Mining; | |
DOI : 10.7249/RR315 ISBN : 9780833084293 RP-ID : RR-315-NAVY |
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学科分类:自然科学(综合) | |
美国|英语 | |
来源: RAND Corporation Published Research | |
【 摘 要 】
In the U.S. Navy, there is a growing demand for intelligence, surveillance, and reconnaissance (ISR) data, which help Navy commanders obtain situational awareness and help Navy vessels perform a host of mission-critical tasks. The amount of data generated by ISR sensors has, however, become overwhelming, and Navy analysts are struggling to keep pace with this data flood. Their challenges include extremely slow download times, workstations cluttered with applications, and stovepiped databases and networks — challenges that are only going to intensify as the Navy fields new and additional sensors in the coming years. Indeed, if the Navy does not change the way it collects, processes, exploits, and disseminates information, it will reach an ISR "tipping point" — the point at which its analysts are no longer able to complete a minimum number of exploitation tasks within given time constraints — as soon as 2016.
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