Title :
An Efficient Massive Data Processing Model in the Cloud -- A Preliminary Report
Author :
Zhang, Guigang ; Li, Chao ; Zhang, Yong ; Xing, Chunxiao ; Yang, Jijiang
Author_Institution :
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
Nowadays, the data-intensive applications and IoT applications have gained a very big development in the cloud environment. All these applications need to process massive data. How to process these massive data effectively is becoming very important in the cloud environment. In this paper, we designed an efficient massive data processing model in the cloud. This model can be used to process all kinds of structured data resources, semi-structured data resources and non-structured data resources together. We introduced some key components in this model and give some key algorithms in our model.
Keywords :
cloud computing; data handling; IoT applications; cloud environment; data-intensive applications; massive data processing model; nonstructured data resources; semistructured data resources; Cloud computing; Data models; Data processing; Databases; File systems; Semantics; Servers; cloud computing; cloud database; cloud file system; massive data; processing model;
Conference_Titel :
ChinaGrid Annual Conference (ChinaGrid), 2012 Seventh
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2623-0
Electronic_ISBN :
978-0-7695-4816-6
DOI :
10.1109/ChinaGrid.2012.21