An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available，and able to support on-line scaling without interrupting service. To support more client’s queries without downtime and degrading the response time，more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use，i.e.，we decrease the number of data copy by reusing te backup data. Also，our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.

An on-line scaling method for improving scalability of a database cluster