Design of Distributed Data Handling Architecture for Large-scale Science Data

다국어 초록 (Multilingual Abstract)

One of key components for data centric researches on cyber-infrastructures is data handling. Recent researches, like high-energy physics, uses huge-number-of and huge-size-of data. Because the size of data that researchers treat is so huge, they usually use grids and distribute data into several distributed sites. To handle those distribute data efficiently, data handling system should have a robust function for the distribution, management, and service of data. In this paper, we propose a data handling architecture on distributed environment, like grids. The proposed architecture can distribute loads, adapt to user's request, scale in proportion to the number of distributed sites, and provide automatic replication of data.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Data Handling System
• 3. Scalable Distributed Data Handling Architecture
• 4. Conclusion and Future Works
• References