作者: Junghoon Lee , Jiwon Jung , Daejeon Kang , Gyung-Leen Park
DOI: 10.14257/ASTL.2015.110.02
关键词: Database 、 File system 、 Line (text file) 、 Computer science 、 Raw data 、 Provisioning 、 Scripting language 、 Electric vehicle 、 Data mining 、 STREAMS 、 Facility management
摘要: Charging facilities, which are being constructed for the wide penetration of electric vehicles, generate massive amount real-time status readings. The analysis those streams provides a useful guide- line power provisioning and facility management. This paper builds Hadoop-based framework converts raw stream data into manageable forms, filters necessary information fields, creates pre- liminary statistics next-step analysis. Upon collected records organized on Linux file system, Pig scripts implemented to ob- tain per-charger, per-driver, per-day number reports our streams. experiment finds significant difference between respective vehicle entities according personal ownership, locations, like.