Title :
A scalable infrastructure of interactive evolutionary computation to evolve services online with data
Author :
Munetomo, Masaharu ; Bando, S.
Author_Institution :
Inf. Initiative Center, Hokkaido Univ., Sapporo, Japan
Abstract :
This paper proposes a scalable framework to process and evolve services online adaptively from big data obtained from their users employing interactive evolutionary computation realized on a scalable infrastructure as platform as a service. Instead of collecting/storing/processing/analyzing big data to improve services offline, the proposed framework enables us to evolve and optimize adaptively every when collecting data from users interactively.
Keywords :
Big Data; cloud computing; data acquisition; evolutionary computation; Big Data; cloud platform as a service; data collection; interactive evolutionary computation; scalable infrastructure; services online; Conferences; Data handling; Data storage systems; Distributed databases; Educational institutions; Evolutionary computation; Information management; cloud platform as a service; interactive evolutionary computation; online big data processing and evolution;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691793
