We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

In-Memory Data processing using Redis Database

by Gurpreet Kaur Spal, Jatinder Kaur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 25
Year of Publication: 2018
Authors: Gurpreet Kaur Spal, Jatinder Kaur
10.5120/ijca2018916589

Gurpreet Kaur Spal, Jatinder Kaur . In-Memory Data processing using Redis Database. International Journal of Computer Applications. 180, 25 ( Mar 2018), 26-31. DOI=10.5120/ijca2018916589

@article{ 10.5120/ijca2018916589,
author = { Gurpreet Kaur Spal, Jatinder Kaur },
title = { In-Memory Data processing using Redis Database },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 180 },
number = { 25 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number25/29113-2018916589/ },
doi = { 10.5120/ijca2018916589 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:01:45.309530+05:30
%A Gurpreet Kaur Spal
%A Jatinder Kaur
%T In-Memory Data processing using Redis Database
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 25
%P 26-31
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In present, in-memory data processing is becoming more popular due to examine a huge amount of information in shorter duration of time. Previously all servers utilize their own particular memory which is time consuming. To resolve this problem by using distributed cache, servers using cache memory for storing and retrieving data frequently. In present Big data processing, in-memory enumerate has become famous due to increase capacity and high throughput of main memory. Both relational and NoSQL databases are in-memory database that provides different mechanism for data storage and retrieval. In this paper, they make use of an in-memory key-value data storage system is Redis which works on a large data. Also, Redis server makes use of cache memory for increasing scalability and high throughput of main memory. Redis database helps in getting data from applications more frequently which improves the system performance as compared to relational database.

References
  1. Zhang, H., Chen, G., Ooi, B.C., Tan, K.L. and Zhang, M., 2015. In-memory big data management and processing: A survey. IEEE Transactions on Knowledge and Data Engineering, 27(7), pp. 1920-1948.
  2. Mohamed, M.A., Altrafi, O.G. and Ismail, M.O., 2014. Relational vs. nosql databases: A survey. International Journal of Computer and Information Technology, 3(03), pp. 598-601.
  3. Jogi, V.D. and Sinha, A., 2016, March. Performance evaluation of MySQL, Cassandra and HBase for heavy write operation. In Recent Advances in Information Technology (RAIT), 2016 3rd International Conference on (pp. 586-590). IEEE.
  4. Mathew, A.B. and Kumar, S.M., 2015, August. Analysis of data management and query handling in social networks using NoSQL databases. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 800-806). IEEE.
  5. Cattell, R., 2011. Scalable SQL and NoSQL data stores. Acm Sigmod Record, 39(4), pp. 12-27.
  6. Carlson, J.L., 2013. Redis in Action. Manning Publications Co..
  7. Lubis, R. and Sagala, A., 2015, October. Multi-thread performance on a single thread in-memory database. In Information Technology and Electrical Engineering (ICITEE), 2015 7th International Conference on (pp.571-575). IEEE.
  8. Sahafizadeh, E. and Nematbakhsh, M.A., 2015. A Survey on Security Issues in Big Data and NoSQL. Advances in Computer Science: an International Journal, 4(4), pp. 68-72.
  9. Tudorica, B.G. and Bucur, C., 2011, June. A comparison between several NoSQL databases with comments and notes. In Roedunet International Conference (RoEduNet), 2011 10th (pp. 1-5). IEEE.
  10. Zaki, A.K. and Indiramma, M., 2015, March. A novel redis security extension for NoSQL database using authentication and encryption. In Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on (pp. 1-6). IEEE.
  11. Chen, S., Tang, X., Wang, H., Zhao, H. and Guo, M., 2016, August. Towards Scalable and Reliable In-Memory Storage System: A Case Study with Redis. In Trustcom/BigDataSE/I SPA, 2016 IEEE (pp. 1660-1667). IEEE.
  12. Saad, W., Abidi, L., Abbes, H., Cérin, C. and Jemni, M., 2014, October. Wide Area bonjougrid as a data desktop grid: Modeling and implementation on top of redis. In Computer Architecture and High Performance Computing (SBAC-PAD), 2014 IEEE 26th International Symposium on (pp. 286-293). IEEE.
  13. Wu, X., Long, X. and Wang, L., 2013, December. Optimizing Event Polling for Network-Intensive Applications: A Case Study on Redis. In Parallel and Distributed Systems (ICPADS), 2013 International Conference on (pp. 687-692). IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Key-Value Stores Redis Document Stores Column-Family Stores Graph databases.

Powered by PhDFocusTM