MongoDB动态负载均衡改进研究

Xiaolin Wang, Hao-peng Chen, Zhenhua Wang
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引用次数: 20

摘要

作为NO-SQL数据库的代表,MongoDB的自动负载均衡功能在一定程度上受到了广泛的青睐。MongoDB的自动负载均衡功能包括将读负载分配到从节点以减少主节点的负载,自动分片通过自动拆分数据并将部分数据迁移到其他节点来减少特定节点的负载。然而,一方面,这个过程是基于存储负载的,由于某些特定数据的访问频率比其他数据高得多,并且“热量”随着时间的推移而变化,因此即使数据不变,节点上的负载也会不断变化,因此无法满足需求。另一方面,数据迁移带来的成本过高,会影响系统的性能。本文将重点研究MongoDB的自动负载均衡机制,提出一种基于热的、成本更低的动态负载均衡机制。
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Research on Improvement of Dynamic Load Balancing in MongoDB
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.
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