Enhancing High Availability for NoSQL Database Systems Using Failover Techniques

2020 ◽  
pp. 23-32
Author(s):  
Priyanka Gotter ◽  
Kiranbir Kaur
Keyword(s):  
Database Systems ◽  
High Availability ◽  
Nosql Database

scholarly journals Performance Benchmarking of Key-Value Store NoSQL Databases

2018 ◽  
Vol 8 (6) ◽  
pp. 5333
Author(s):  
Omoruyi Osemwegie ◽  
Kennedy Okokpujie ◽  
Nsikan Nkordeh ◽  
Charles Ndujiuba ◽  
Samuel John ◽  
...  
Keyword(s):  
Data Storage ◽  
Web Applications ◽  
Query Language ◽  
Research Work ◽  
Database Systems ◽  
Nosql Databases ◽  
Performance Benchmarking ◽  
Nosql Database ◽  
Structured Query Language ◽  
Web Developers

<p>Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.</p>

scholarly journals RemusDB: transparent high availability for database systems

2012 ◽  
Vol 22 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Umar Farooq Minhas ◽  
Shriram Rajagopalan ◽  
Brendan Cully ◽  
Ashraf Aboulnaga ◽  
Kenneth Salem ◽  
...  
Keyword(s):  
Database Systems ◽  
High Availability

NoSQL Database Systems

2019 ◽  
pp. 1193-1198
Author(s):  
Sherif Sakr
Keyword(s):  
Database Systems ◽  
Nosql Database

Fragment Re-Allocation Strategy Based on Hypergraph for NoSQL Database Systems

2016 ◽  
Vol 8 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Zhikun Chen ◽  
Shuqiang Yang ◽  
Yunfei Shang ◽  
Yong Liu ◽  
Feng Wang ◽  
...  
Keyword(s):  
Database Systems ◽  
Communication Cost ◽  
Allocation Strategy ◽  
Hypergraph Partitioning ◽  
Computing Model ◽  
Operation Pattern ◽  
Nosql Database ◽  
High Scalability ◽  
Weighted Hypergraph ◽  
Allocation Strategies

NoSQL database is famed for the characteristics of high scalability, high availability, and high fault-tolerance. It is used to manage data for a lot of applications. The computing model has been transferred to “computing close to data”. Therefore, the location of fragment directly affects system's performance. Every site's load dynamical changes because of the increasing data and the ever-changing operation pattern. So system has to re-allocate fragment to improve system's performance. The general fragment re-allocation strategies of NoSQL database scatter the related fragments as possible to improve the operations' parallel degree. But those fragments may interact with each other in some application's operations. So the high parallel degree of operation may increase system's communication cost such as data are transferred by network. In this paper, the authors propose a fragment re-allocation strategy based on hypergraph. This strategy uses a weighted hypergraph to represent the fragments' access pattern of operations. A hypergraph partitioning algorithm is used to cluster fragments in the strategy. This strategy can improve system's performance according to reducing the communication cost while guaranteeing the parallel degree of operations. Experimental results confirm that the strategy will effectively contribute in solving fragment re-allocation problem in specific application environment of NoSQL database system, and it can improve system's performance.

A new fragment re-allocation strategy for NoSQL database systems

2014 ◽  
Vol 9 (1) ◽  
pp. 111-127 ◽  
Author(s):  
Zhikun Chen ◽  
Shuqiang Yang ◽  
Shuang Tan ◽  
Li He ◽  
Hong Yin ◽  
...  
Keyword(s):  
Database Systems ◽  
Allocation Strategy ◽  
Nosql Database

Uniform data access platform for SQL and NoSQL database systems

2017 ◽  
Vol 69 ◽  
pp. 93-105 ◽  
Author(s):  
Ágnes Vathy-Fogarassy ◽  
Tamás Hugyák
Keyword(s):  
Data Access ◽  
Database Systems ◽  
Nosql Database
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