A Novel Solution of Distributed Memory NoSQL Database for Cloud Computing

The traditional relational database to online storage are becoming increasingly problematic: the low performance do not gracefully meet the needs of mass data, the storage approaches of massive data are still not perfect presents. NoSQL and distributed memory database technologies have the potential to simplify or eliminate many of these challenges. NoSQL database technologies can provide Key-value style of data storage and largely ensure high performance. Distributed memory database technologies provide a means for easily store mass data in cloud in a dynamic and scalable manner. This paper argues for a new architecture called CDSA, which is a distributed memory NoSQL database architecture for Cloud computing to improve the performance of querying data and ensure mass data storage in cloud by using rational strategy. Furthermore, add or deleted any node from the distributed database cluster, the others node can work without stop service. We believe that CDSA can provide durable storage with high throughput and lower access latency.

I. Introduction

In order to store and manage data in an efficient way, database management system (DBMS) was conceptualized by industry in the 1960s and developed the early DBMS from file system. With the expansion of applications for handling more complex data model, more complex query operation and more extensive database, gradually, distributed database was developed, parallel database, database cluster, data warehouse and so on. All of them were met the application requirements in some ways, but the support of massive data are still not perfect. At the same time, Internet becomes a huge repository of information and vast amounts of data generated every day. If want to retrieve the data, you need massive storage space and large scale computing, which existing database system cannot afford, and large server has issues such as limited performance and high price. Therefore, Google established a large scale cluster using a lot of cheap PC, designed and implemented a distributed file system named GFS [1], a storage system named BigTable [2] and a parallel programming environment (MapReduce [3] [4]), Which constitutes Google's “cloud computing” environment, other companies have also proposed and implemented similar cloud system, including Amazon's EC2[5], S3 [6], and IBM's “Blue Cloud” and so on.