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
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