scholarly journals Load Balancing Technology Based On Consistent Hashing For Database Cluster Systems

2012 ◽  
Author(s):  
Zhenguo Xuan
Keyword(s):  
Load Balancing ◽  
Cluster Systems ◽  
Consistent Hashing ◽  
Database Cluster

Research of Load Balancing Based on NOSQL Database

2014 ◽  
Vol 602-605 ◽  
pp. 3371-3374
Author(s):  
Peng Wang ◽  
Yan Qi
Keyword(s):  
Load Balancing ◽  
Distributed Storage ◽  
Storage System ◽  
Sql Server ◽  
Distributed Storage System ◽  
Nosql Database ◽  
Consistent Hashing ◽  
Cache Hit Ratio ◽  
Hashing Algorithm ◽  
Balancing Principle

The NOSQL database to support data and high concurrent read and write,scalability and high availability features in a distributed storage system which has been applied widely. In this paper, through the research of load balancing in distributed storage system,and it proposes the consistent hashing algorithm and the virtual node strategy, in order to improve the load balancing of the system and increase the cache hit ratio. For the load balancing principle of NOSQL and SQL Server, analysis and comparison of the experimental data.The result shows that, with the increase of the number of virtual nodes, the cache hit ratio of NOSQL is higher than the cache hit ratio of SQL Server.

Research of Cloud Storage and Improved Distributed Strategy of Data Storage

2014 ◽  
Vol 496-500 ◽  
pp. 1812-1816 ◽  
Author(s):  
Hong Xia Mao
Keyword(s):  
Load Balancing ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Utilization Rate ◽  
Consistent Hashing ◽  
Storage Node ◽  
Load Rate ◽  
Hashing Algorithm ◽  
System Prototype

In this paper, an extensible system prototype of cloud storage is designed. Considering the load balance of cloud storage system, an improved data storage strategy based on consistent hashing algorithm is proposed in this paper. The strategy adopts virtual nodes to storage data and real–time monitoring of load rate of each storage node to adjust load balancing of the whole storage system. In the improved strategy, the priority is introduced into the storage system to rapidly improve the utilization rate of the new storage nodes. The strategy can effectively optimize the performance of the whole storage system, and improve the overall effect of the load balancing.

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