Title :
Improving Random Read Performance of Glibc
Author :
Mei Wang ; Yuanyuan Zhou ; Feng Xiao ; Qiuming Luo
Author_Institution :
Sch. of Comput. Eng., Shenzhen Polytech., Shenzhen, China
Abstract :
The Cloud data services, specifically, key/value stores and NoSQL database that require a large number of index lookups that fetch small amount of data. Random I/O becomes the critical performance factor. However, compared with sequential read, the efficiency of random read is very low. Our experiment will explain this. File I/O operation is closely associated with the implementation of I/O mechanism both in kernel space and user space. In this paper, we aims at analyzing the standard I/O mechanism, improving the standard I/O mechanism in user space for random read and implement into the glibc. Our experiment test result proves that our improved I/O mechanism will greatly improve the performance of random read.
Keywords :
SQL; cloud computing; database indexing; input-output programs; software libraries; NoSQL database; cloud data services; critical performance factor; data fetching; file I/O operation; glibc; index lookups; kernel space; key/value stores; random I/O; random read performance improvement; standard I/O mechanism analysis; user space; Bandwidth; Kernel; Libraries; Linux; Optimization; Standards; Switches; I/O buffer; glibc; kernel file pointer; random read; standard I/O;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2014 13th International Symposium on
Conference_Location :
Xian Ning
Print_ISBN :
978-1-4799-4170-4
DOI :
10.1109/DCABES.2014.20