Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing

Srinivasa Rao Gundu; T. Anuradha

Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing

Srinivasa Rao Gundu * § Computer Science Ph.D. Research Scholar & Senior Software Trainer

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T. Anuradha

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§ Dravidian University

Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing

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Abstract

The routine life of modern citizens is completely dominated by the computer aided services. The computer aided services depends on information and communication technologies. The success behind this cloud computing are data centers with virtualization technology equipped with fastest internet and the wide acceptance of the users due to its affordable price to the common people. Effective services can be provided to the end user only when proper scheduling of tasks are done in peak hours when heterogeneous collection of requests are coming to the data center. The load is balanced in such situations, to attain equilibrium position in load. It is a difficult task to balance the load. Load can be balanced using either by software or hardware.

References

16 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Srinivasa Rao Gundu, T. Anuradha. 2019. "Improved Hybrid Algorithm Approach based Load Balancing Technique in Cloud Computing". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 19 (GJCST Volume 19 Issue B2).

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GJCST Volume 19 Issue B2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-B Classification C.2.4

Submission ReceivedDecember 10, 2018
Peer Review Double Blind
Handling Editor
Accepted January 1, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

October 18, 2019

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Srinivasa Rao Gundu, T. Anuradha (PhD/Dr. count: 0)

View Count (all-time): 480

Total Views (Real + Logic): 1696

Total Downloads (simulated): 133

Publish Date: 2019 01, Tue

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Total Views: 1.7K

Total Downloads: 133

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