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Online Database Load Balancer to Collaborating With Existing Database

Shital Pawar1 , Sadiya Shaikh2 , Priyanka Wadagave3 , Megha Chavan4 , Deepika Tambat5

  1. Dept. of Computer Engineering, Bharati Vidyapeeth College of Engineering for Women, Pune, India.
  2. Dept. of Computer Engineering, Bharati Vidyapeeth College of Engineering for Women, Pune, India.
  3. Dept. of Computer Engineering, Bharati Vidyapeeth College of Engineering for Women, Pune, India.
  4. Dept. of Computer Engineering, Bharati Vidyapeeth College of Engineering for Women, Pune, India.
  5. Dept. of Computer Engineering, Bharati Vidyapeeth College of Engineering for Women, Pune, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 1142-146, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.1142146

Online published on May 31, 2018

Copyright © Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat, “Online Database Load Balancer to Collaborating With Existing Database,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.1142-146, 2018.

MLA Style Citation: Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat "Online Database Load Balancer to Collaborating With Existing Database." International Journal of Computer Sciences and Engineering 6.5 (2018): 1142-146.

APA Style Citation: Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat, (2018). Online Database Load Balancer to Collaborating With Existing Database. International Journal of Computer Sciences and Engineering, 6(5), 1142-146.

BibTex Style Citation:
@article{Pawar_2018,
author = {Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat},
title = {Online Database Load Balancer to Collaborating With Existing Database},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {1142-146},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2121},
doi = {https://doi.org/10.26438/ijcse/v6i5.1142146}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.1142146}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2121
TI - Online Database Load Balancer to Collaborating With Existing Database
T2 - International Journal of Computer Sciences and Engineering
AU - Shital Pawar, Sadiya Shaikh, Priyanka Wadagave, Megha Chavan, Deepika Tambat
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 1142-146
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

According to literature meaning of Cloud Computing is distributed computing, storing, sharing, and accessing data over the internet. Cloud is the platform which provides numerous type of resources where the end user may use the resource for developing own software and even their own cloud and even include a new resource to the existing once. The biggest issue for a cloud datacentre is to tackle with billions of request coming dynamically from the end users to handle their database in efficient and effective manner. To achieve this goal, various load balancing approaches have been proposed in past years. Database load balancing strategies aim at achieving high software developer satisfaction by producing service like auto scale of their data in database, zero-downtime, multiple database choices, multi tenancy support. Load balancing in this environment means equal distribution of workload across instances. End users needs ample space to store their database data to decrease the maintenance cost and buying cost of servers and area required to assemble them this paper focus on the balancing the data in database. This paper, focus on database based load balancing which works well in cloud environment, considers resources specific demands of the tasks and reduces overflow of data overhead by dividing the data on running instances.

Key-Words / Index Term

Auto scalability, Cloud computing, load balancer, Multi tenancy, Snapshot, Zero downtime

References

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[6]. Nuaimi, K. A., Mohamed, N., Nuaimi, M. A., & Al-Jaroodi, J., “A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms” IEEE second symposium on Network Cloud Computing, pp.137-142,December2012.