Scalable database management in cloud computing

被引:1
|
作者
Kaur, Pankaj Deep [1 ]
Sharma, Gitanjali [1 ]
机构
[1] Guru Nanak Dev Univ, Dept Comp Sci & Engn, Reg Campus, Jalandhar 144001, India
关键词
Eventual Consistency; Key-Value pair; NoSQL; NewSQL; Partitioning; Replication; Timeline Consistency and CAP theorem;
D O I
10.1016/j.procs.2015.10.102
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The emerging Big Data paradigm, due to technological proliferations, has attracted the attention of many database management solutions. Owing to its variedness, volume and variety it is difficult to gather, transfer and store data while promising good performance in terms of scalability. These challenges call for an exhaustive reviewing of existing data management systems covering the scalability metrics like partitioning, replication, concurrency control and consistency. This paper throws a light into the design decisions chosen by existing scalable db vendors to help analyze any possible modifications to their infrastructure for future applications. Further, scalability metrics have been identified and solutions of three major projects have been compared on the basis of these metrics. Comparison has also been done for open source projects. The paper also broadly discusses the use cases for these open source projects. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:658 / 667
页数:10
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