Improved On-line Scaling Scheme in a Scalable and High Available Database

초록

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 scheme for fast response time and higher throughputs. Our proposed scheme reduces unnecessary network use, i.e., we decrease the number of data copy by reusing the 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 scheme results in significant reduction in data copy time.