Real Time Biomedical Data Streaming Platform (RIMES): A Data-Intensive Virtual Environment

Author

Dong, Kejun ; Nan, Kai ; Tilak, Sameer ; Zheng, Cindy ; Xu, Dong ; Schulze, Jurgen ; Arzberger, Peter ; Li, Wilfred

Author_Institution

Comput. Network Inf. Center, Chinese Acad. of Sci., China

Volume

2

fYear

2010

fDate

28-31 May 2010

Firstpage

342

Lastpage

346

Abstract

In this paper we present Real time biomedical data Streaming platform (RIMES), a data-intensive virtual environment, under joint development by Computer Network Information Center and University of California, San Diego. RIMES extends scientists´ desktops to biomedical grid computation resources and mass storage systems, by means of streaming biomedical data through internet-based Data Turbine cloud. Researchers may conduct activities related to job submission, data processing and real time visualization within the environment. RIMES may also be suitable to other data-intensive areas such as geosciences and ecoinformatics.

Keywords

Internet; data visualisation; grid computing; media streaming; medical computing; San Diego; University of California; biomedical grid computation resources; computer network information center; data intensive virtual environment; data processing; internet based data turbine cloud; job submission; mass storage systems; real time biomedical data streaming platform; real time visualization; Bioinformatics; Biomedical computing; Cloud computing; Computer networks; Data processing; Data visualization; Grid computing; Internet; Turbines; Virtual environment; Data Turbine; biomedical research; data streaming; e-science; grid computing; real time visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Optimization (CSO), 2010 Third International Joint Conference on

Conference_Location

Huangshan, Anhui

Print_ISBN

978-1-4244-6812-6

Electronic_ISBN

978-1-4244-6813-3

Type

conf

DOI

10.1109/CSO.2010.146

Filename

5532991