An Operation Aware Flash Translation Layer for Enterprise-class Ssds

A novel method to extend flash memory lifetime in flash-based DBMS Abstract: As the capacity increases and the price drops gradually, flash memory is becoming the promising replacement of disk, even in the enterprise applications. However, flash memory suffers from erase-before-write and limited write-erase cycles at the same time, which means the abuse of write,especially small and random write, will wear a flash block out quickly. We analyze the free space management in traditional DBMS and point out its disadvantage when used on flash device. In addition, we also propose a new solution involving free space management and buffer management to extend the lifetime of flash memory by reducing the number of write I/O. Abstract: Flash translation layer is an important firmware in flash-based devices. It is critical to affect the performance of flash-based devices. So when SSDs are used in enterprise-class environment, FTL should be redesigned to improve the whole performance. In this report, we introduce an operation aware flash translation layer for enterprise-class SSDs. A Structured Approach to Query Recommendation With Social Annotation Data [ppt] Abstract: Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Abstract: OpenScholar is a web system to build scholars' homepage automatic. Its features of searching scholars' infomation and dynamic maintenance can help users build their homepages easily and fast. Abstract: In cloud data management systems,data is partitioned into blocks and replicated.It is nesscary to translate some data blocks when we do some types of query processing.So we did some research on how to finish the query with little costs. Record Linkage with Uniqueness Constraints and Erroneous Values [ppt] Abstract: This paper presents some challenges of record linkage and data fusion in heterogeneous data sources with uniqueness constraints and erroneous values, models those records by utilizing K-partite graph, and proposes clustering algorithm and matching algorithm to cope with duplicates and conflicting data.