Open Access   Article Go Back

A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services

Tusha Agarwal1 , Abhishek Saxena2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 704-707, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.704707

Online published on Jul 31, 2018

Copyright © Tusha Agarwal, Abhishek Saxena . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Tusha Agarwal, Abhishek Saxena, “A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.704-707, 2018.

MLA Style Citation: Tusha Agarwal, Abhishek Saxena "A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services." International Journal of Computer Sciences and Engineering 6.7 (2018): 704-707.

APA Style Citation: Tusha Agarwal, Abhishek Saxena, (2018). A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services. International Journal of Computer Sciences and Engineering, 6(7), 704-707.

BibTex Style Citation:
@article{Agarwal_2018,
author = {Tusha Agarwal, Abhishek Saxena},
title = {A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {704-707},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2496},
doi = {https://doi.org/10.26438/ijcse/v6i7.704707}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.704707}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2496
TI - A Review On Load Balancing Algorithm in Cloud Computing Using Restful Web Services
T2 - International Journal of Computer Sciences and Engineering
AU - Tusha Agarwal, Abhishek Saxena
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 704-707
IS - 7
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
489 256 downloads 212 downloads
  
  
           

Abstract

As the IT industry is growing day by day, the need of computing and storage is increasing rapidly. The amount of data exchanged over the network is constantly increasing. These services return the required information in form of text, images, video etc. In Cloud computing, Load Balancing is required in such situations to avoid overload. A load balancer technique mediates client access requests to servers and intelligently decides which server is best placed to fulfil each request. Restful interfaces are mainly used for implementation of web services and are based on the resource-oriented approach. This paper discusses the some existing load balancing algorithms in cloud computing. In this review paper, Restful services are used for data storage and retrieval from Cloud system. Cloud is a storage mechanism in which one can store, process data on demand. Load balancing approach is used to distribute load dynamically among the all the nodes in the cloud. Load balancing avoids the occurrence of such a situation where some virtual machines are heavily loaded or in ideal situation. This approach has reduced the amount of data used for recovery to almost half and also maintains a secure access control mechanism for authenticated user.

Key-Words / Index Term

REST, HTTP, Load Balance, XOR scheduling,Web Services

References

[1].Digvijaysinh M. Rathod; M S Dahiya; Satyen M. Parikh, (2015) Towards composition of RESTful web services, 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp 1 6.
[2]Gaj, P., Jasperneite, J. and Felser, M. (2013). Computer Communication Within Industrial Distributed Environmental Survey. IEEE Transactions on Industrial Informatics, 9(1), pp.182-189.
[3]DU, Y., GUO, T. and CHEN, J. (2013). Fleet elastic load balancing mechanism in cloud environment. Journal of Computer Applications, 33(3), pp.830-833.
[4]XIE, H. and CHEN, X. (2013). Cloud storage-oriented unstructured data storage. Journal of Computer Applications, 32(6), pp.1924-1928.
[5]Zhang, G., Wu, G., Wang, S., Shu, J., Zheng, W. and Li, K. (2016). CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems. IEEE Transactions on Computers, 65(2), pp.435-447.
[6]Trifonov, P. (2015).” Low-Complexity Implementation of RAID Based on Reed-Solomon Codes.” ACM Transactions on Storage, 11(1), pp.1-25.
[7]Li, X., Zheng, Q., Qian, H., Zheng, D. and Li, J. (2009). Toward optimizing cauchy matrix for cauchy reed-solomon code. IEEE Communications Letters, 13(8), pp.603-605.
[8]Gruner, S., Pfrommer, J. and Palm, F. (2016). RESTful Industrial Communication With OPC UA. IEEE Transactions on Industrial Informatics, 12(5), pp.1832-1841.

[9]Luo, C., Zheng, Z., Wu, X., Yang, F. and Zhao, Y. (2016). Automated structural semantic annotation for RESTful services. International Journal of Web and Grid Services, 12(1), p.26.
[6]Zhao, X., Liu, E., Yu, H. and Clapworthy, G. (2015). A linear logic approach to the composition of RESTful web services. International Journal of Web Engineering and Technology, 10(3), p.245.
[7]Load Balancing In Cloud Computing. (2017). International Journal of Recent Trends in Engineering and Research, 3(3), pp.260-267.

[8] Microsoft Windows Azure: Developing Applications for Highly Available Storage of Cloud Service. (2015). International Journal of Science and Research (IJSR), 4(12), pp.662-665.
[9] A Review of Load Balancing in cloud Computing by Gunpriya Makkar and Pankaj Deep Kaur.,IJARCSSE volume 5 Issue 4, ISSN:2277128X
[10] Load balancing in Cloud Computing : A Review by shiny, IOSR journal of Computer Engineering e-ISSN:22780661.
[12]Microsoft Windows Azure: Developing Applications for Highly Avail-able Storage of Cloud Service. (2015). International Journal of Science and Research (IJSR), 4(12), pp.662-665.
[13]Jabbar, S., Khan, M., Silva, B. and Han, K. (2016). A REST-based industrial web of things framework for smart warehousing. The Journal of Supercomputing, pp., 2016, ISSN 0920-8542.
[14]Henen, R. and Schleipen, M. (2014). Interoperability between OPC UA and AutomationML. Procedia CIRP, 25, pp.297-304.
[15]L. M. S. De Souza, P. Spiess, D. Guinard, M. Kohler, S. Karnouskos, and D. Savio, (2013). Socrades: A web service based shop oor integration infrastructure, in The internet of things, Spriger, pp. 5067.