iBLOB: Complex Object Management in Databases through Intelligent Binary Large Objects

Abstract. New emerging applications including genomic, multimedia, and geospatial technologies have necessitated the handling of complex application objects that are highly structured, large, and of variable length. Currently, such objects are handled using filesystem formats like HDF and NetCDF as well as the XML and BLOB data types in databases. However, some of these approaches are lication specific and do not provide proper levels of data abstraction for the users. Others do not support random updates or cannot manage large volumes of structured data and provide their associated operations. In this paper, we propose a novel two-step solution to manage and query application objects within databases. First, we present a generalized conceptual framework to capture and validate the structure of application objects by means of a type structure specification. Second, we introduce a novel data type called Intelligent Binary Large Object (iBLOB) that leverages the traditional BLOB type ...

• Type: Journal
• Year: 2010
• Where: ICOODB
• Authors: Tao Chen, Arif Khan, Markus Schneider, Ganesh Viswanathan
• Keywords: Application Objects, Complex Application, Database, ICOODB 2010, Type Structure