DocumentCode :
691822
Title :
Research on Improvement of Dynamic Load Balancing in MongoDB
Author :
Xiaolin Wang ; Haopeng Chen ; Zhenhua Wang
Author_Institution :
Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
21-22 Dec. 2013
Firstpage :
124
Lastpage :
130
Abstract :
As a representative of NO-SQL database, MongoDB is widely preferred for its automatic load-balancing to some extent, which including distributing read load to secondary node to reduce the load of primary one and auto-sharding to reduce the load onspecific node through automatically split data and migrate some ofthem to other nodes. However, on one hand, this process is storage-load -- Cbased, which can´t meet the demand due to the facts that some particular data are accessed much more frequently than others and the ´heat´ is not constant as time going on, thus the load on a node keeps changing even if with unchanged data. On the other hand, data migration will bring out too much cost to affect performance of system. In this paper, we will focus on the mechanism of automatic load balancing of MongoDB and proposean heat-based dynamic load balancing mechanism with much less cost.
Keywords :
SQL; relational databases; resource allocation; MongoDB; NO-SQL database; automatic load balancing; dynamic load balancing; read load distribution; Heating; Heuristic algorithms; Load management; Monitoring; Servers; Switches; Upper bound; MongoDB; auto-sharding; cloud computing; heat-based; load balancing; resourcemanagement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
Type :
conf
DOI :
10.1109/DASC.2013.49
Filename :
6844349
Link To Document :
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