UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRC006288


Registration ID:
184574

Page Number

1671-1676

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Title

Hybrid Approach of Black Hole Algorithm and ACO for improve multi objective based dynamic workflow scheduling in Cloud Computing

Abstract

In cloud computing environment many scheduling algorithm are available to provide task scheduling easy, scalable and make task execution fast. In this paper we are implemented the hybrid structure of BHO and ACO Algorithm. For implementing dynamic workflow scheduling BHO algorithm. In scheduling Makespan and Cost optimization is main issue now days. These task scheduling algorithms are used by many cloud service providers and various researchers for static and dynamic task scheduling of many applications. Task scheduling mainly focuses on efficient utilization of resource and reduce the task Compilation time. Many different techniques are used to solve this problem of task scheduling. Here we provide propose flow and implementation work of proposed flow to reduce the QoS parameters like Makespan, Cost and Throughput. And evaluate the result in montage scientific workflow with size small, medium and large also make the comparisons of BHO with proposed algorithm.

Key Words

Black Hole Algorithm, Ant colony Optimization, Workflow Scheduling

Cite This Article

"Hybrid Approach of Black Hole Algorithm and ACO for improve multi objective based dynamic workflow scheduling in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1671-1676, July-2018, Available :http://www.jetir.org/papers/JETIRC006288.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Hybrid Approach of Black Hole Algorithm and ACO for improve multi objective based dynamic workflow scheduling in Cloud Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1671-1676, July-2018, Available at : http://www.jetir.org/papers/JETIRC006288.pdf

Publication Details

Published Paper ID: JETIRC006288
Registration ID: 184574
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1671-1676
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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