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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: Load Balancing in Cloud Environment Using DAG and Honey Bee Algorithm
Authors Name: Kapil Thakkar , Prof. Roopesh Sharma , Mr. Upendra Singh
Unique Id: IJSDR1707052
Published In: Volume 2 Issue 7, July-2017
Abstract: 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%.
Keywords: Honey Bee, Virtual Machine (VM), Cloud figuring, LBMM.
Cite Article: "Load Balancing in Cloud Environment Using DAG and Honey Bee Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.326 - 331, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707052.pdf
Downloads: 000337061
Publication Details: Published Paper ID: IJSDR1707052
Registration ID:170671
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
Page No: 326 - 331
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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