DocumentCode
1791736
Title
Situation aware computing for big data
Author
Chan, Eric S. ; Gawlick, Dieter ; Ghoneimy, Adel ; Zhen Hua Liu
Author_Institution
Oracle Corp., Redwood Shores, CA, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Big Data applications need a situation aware computing model to manage data, knowledge, and processes in an ever increasing amount, complexity, and speed while reacting as efficiently and timely as possible to any evolving situation. We introduce a Knowledge Intensive Data-processing System (KIDS) that empowers Big Data applications to support situation awareness. Frameworks such as Apache Hadoop YARN can be leveraged for repeated and near real-time execution of knowledge intensive applications. KIDS bridges the gap between the world of low-value data and the world of high-value information and knowledge, which are best handled by state of the art databases. These databases provide a host of much needed functions such as multi-temporality, flashback, provenance, and registered queries. With KIDS model, Big Data applications are well structured and can evolve perpetually.
Keywords
Big Data; distributed processing; query processing; ubiquitous computing; Apache Hadoop YARN; KIDS; big data applications; high-value information; knowledge intensive data-processing system; multitemporality; registered queries; situation aware computing model; Big data; Computational modeling; Context modeling; Data models; Databases; Real-time systems; Yarn; Bi-Temporal; Big Data; Database; Hadoop; Knowledge; Provenance; Situation Awareness; YARN;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004415
Filename
7004415
Link To Document