AIP:a tool for flexible and transparent data management  

作　　者：ZHANG GuangYan QIU JianPing SHU JiWu ZHENG WeiMin 

机构地区：[1]Department of Computer Science and Technology,Tsinghua University [2]Tsinghua National Laboratory for Information Science and Technology,Tsinghua University

出　　处：《Science China(Information Sciences)》2013年第5期186-196,共11页中国科学（信息科学）（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant Nos. 60903183,61170008);National High Technology Research and Development Program of China (Grant No. 2009AA01A403);National Basic Research Program of China (Grant No. 2007CB311100)

摘　　要：Existing data management tools have some limitations such as restrictions to specific file systems or shortage of transparence to applications. In this paper, we present a new data management tool called AIP, which is implemented via the standard data management API, and hence it supports multiple file systems and makes data management operations transparent to applications. First, AIP provides centralized policy-based data management for controlling the placement of files in different storage tiers. Second, AIP uses differentiated collections of file states to improve the execution efficiency of data management policies, with the help of the caching mechanism of file states. Third, AIP also provides a resource arbitration mechanism for controlling the rate of initiated data management operations. Our results from representative experiments demonstrate that AIP has the ability to provide high performance, to introduce low management overhead, and to have good scalability.Existing data management tools have some limitations such as restrictions to specific file systems or shortage of transparence to applications. In this paper, we present a new data management tool called AIP, which is implemented via the standard data management API, and hence it supports multiple file systems and makes data management operations transparent to applications. First, AIP provides centralized policy-based data management for controlling the placement of files in different storage tiers. Second, AIP uses differentiated collections of file states to improve the execution efficiency of data management policies, with the help of the caching mechanism of file states. Third, AIP also provides a resource arbitration mechanism for controlling the rate of initiated data management operations. Our results from representative experiments demonstrate that AIP has the ability to provide high performance, to introduce low management overhead, and to have good scalability.

关 键 词：data management DMAPI management policy differentiated collection resource arbitration 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]