DocumentCode :
1784617
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
fYear :
2014
fDate :
24-27 Nov. 2014
Firstpage :
78
Lastpage :
82
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;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/DCABES.2014.20
Filename :
6999061
Link To Document :
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