Load Balancing in Cloud Environment Using DAG and Honey Bee Algorithm

Kapil Thakkar , Prof. Roopesh Sharma , Mr. Upendra Singh

Honey Bee, Virtual Machine (VM), Cloud figuring, LBMM.

Load adjusting is center piece of open distributed computing. The procedure of load adjusting increment the execution of cloud based administrations. Cloud based administration give equipment, programming and stage as administration. For the adjusting of open cloud utilized two sorts of approach one is customary approach and other is swarm based approach. The swarm based approach utilized molecule of swarm enhancement, insect state advancement and glowworm swarm calculation. for the adjusting of load additionally utilized distinctive approach, for example, occupied and sit still condition such method are called cloud part particle based load adjusting procedure. In this paper changed the heap adjusting arrangement in light of instructor based learning improvement. The educator based learning improvement surely understands meta-heuristic capacity utilized with the end goal of advancement and looking procedure. The changed load adjusting strategy reproduced in cloudsim test system. The cloudsim test system created in java innovation and free accessible for investigate reason. Our adjusted load adjusting strategy contrast and two unique procedures one is round robin and other is glowworm calculation. our changed load adjusting approach diminishes stack impact around 10-12%.

Published Paper   E-Certificate

"Load Balancing in Cloud Environment Using DAG and Honey Bee Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 7, page no.326 - 331, July-2017, Available :https://ijsdr.org/papers/IJSDR1707052.pdf

Volume 2 Issue 7, July-2017

Pages : 326 - 331

Paper Reg. ID: IJSDR_170671

Published Paper Id: IJSDR1707052

Downloads: 000347523

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1707052

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1707052

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition