Download PDFOpen PDF in browser

A Detailed Analysis on Several Load Balancing Algorithm in Cloud Computing

8 pagesPublished: October 23, 2018

Abstract

Cloud computing (CC) is rising rapidly; an expansive number of clients are pulled in towards cloud administrations for more fulfillments. Distributed computing is most recent developing innovation for expansive scale dispersed processing and parallel registering. CC gives vast pool of shared assets, program bundle, data, stockpile and a broad variety of uses according to client requests at any example of time. Adjusting the heap has turned out to be all the more intriguing examination zone in this field. Better load adjusting calculation in cloud framework builds the execution and assets use by progressively dispersing work stack among different hubs in the framework. Virtual machine (VM) is an execution unit that goes about as an establishment for distributed computing innovation. Bumble bee conduct propelled stack adjusting enhances the general throughput of handling and need construct adjusting centers with respect to decreasing the measure of time an errand needs to look out for a line of the VM.

Keyphrases: cloud computing, honey bee behaviour algorithm, load balancing, virtual machine

In: Vinay K Chandna, Vijay Singh Rathore and Shikha Maheshwari (editors). Proceedings on International Conference on Emerging Trends in Expert Applications & Security (2018), vol 2, pages 59-66.

BibTeX entry
@inproceedings{ICETEAS2018:Detailed_Analysis_Several_Load,
  author    = {Shubhra Saxena and Navneet Sharma and Akash Saxena and Jayanti Goyal},
  title     = {A Detailed Analysis on Several Load Balancing Algorithm in Cloud Computing},
  booktitle = {Proceedings on International Conference on Emerging Trends in Expert Applications & Security (2018)},
  editor    = {Vinay K Chandna and Vijay Singh Rathore and Shikha Maheshwari},
  series    = {Kalpa Publications in Engineering},
  volume    = {2},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/DdLV},
  doi       = {10.29007/rnvj},
  pages     = {59-66},
  year      = {2018}}
Download PDFOpen PDF in browser