A parallel online trajectory compression approach for supporting big data workflow

Nowadays with booming of sensor technology, location big data exhibit as high complexity, massive volume, real-time and stream-based characteristic. The current workflow systems are facing the challenge hardly to efficiently process the real-time location big data like trajectory stream. Online comp...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computing Ročník 100; číslo 1; s. 3 - 20
Hlavní autori:	Han, Wei, Deng, Ze, Chu, Junde, Zhu, Jing, Gao, Peng, Shah, Tejal
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Vienna Springer Vienna 01.01.2018 Springer Nature B.V
Predmet:	Artificial Intelligence Big Data Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Data compression Data management Information Systems Applications (incl.Internet) Real time Software Engineering Time compression Trajectories Workflow management systems Workflow Big data Parallel Online trajectory compression algorithm GPU 68W10
ISSN:	0010-485X, 1436-5057
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!