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Real-Time Cloud-Based Load Balance Algorithms and an Analysis

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A Correction to this article was published on 27 June 2020

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Abstract

Advancement in communication technologies has also made a positive impact by increase in the computation. Cloud computing is an internet-based computational utility which has reduced the cost of computation and cutting short of larger investments. Cloud is service-oriented architecture with decentralized computation. The SWOT analysis of the cloud computing can be used virtually in every industry to improve the service delivery and improvement; in return, it improves the business. There is a need of a cloud computing system which can use the cloud for the high-performance applications, increased scalability, ability to handle sudden request traffic increase, flexibility to change when applying new topologies, business continuity with complete flexibility, and overall improvement in the cloud system performance. Various load balancing techniques are available in cloud computing which are needed to study for the development of in advent of new emerging technologies like IoT, robotics, and AI.

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  • 27 June 2020

    In the original publication of the article, the first and last name of the authors were interchanged. The correct names should read as given below

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Acknowledgements

I sincerely thank and express deep sense of gratitude to my research supervisor Prof. T. Anuradha (Professor of Computer Science and Registrar at Dravidian University) who has guided me for exploring more the qualitative content about the cloud computing environment. I sincerely express my sincere thanks for her inspiration and mentorship for this paper. I wish to thank Sri Anil Nama CIO Cloud4C & CtrlS-CTRLS Data Center, Hitech City, Hyderabad, who has helped me to know various information about the data center-related standards like ANSI/TIA-942 Data Center Quality, IEEE 493 for Electrical Standards, and ANSI/TIA-942 Certification and Auditing. I would like to thank Sri. Sai Ram Gandikota, Compliance Officer NettLinx Data Center, Saifabad, Hyderabad, who has given me the information about the data center requirements like CMMI Level 5, CMMISVC/3, ISO/IEC 27000:2013 certifications, etc., for his immense support in collecting the research-related data. And also RailTel Data Center, Secunderabad, who constantly answered my questions with patience and assisted me to collect information related to my research. I take this opportunity to thank Ricoh Data Center, Hyderabad, and National Informatics Centre, Hyderabad, who has guided me to collect relevant information.

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This study was not funded by any organization.

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Authors and Affiliations

  1. Department of Computer Science, Dravidian University, Kuppam, Andhra Pradesh, India

    Srinivasa Rao Gundu & Anuradha Thimmapuram

  2. Department of Electronics, Goa University, Taleigao, Goa, India

    Charan Arur Panem

Authors
  1. Srinivasa Rao Gundu
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  2. Charan Arur Panem
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  3. Anuradha Thimmapuram
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Correspondence to Srinivasa Rao Gundu.

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The original version of this article was revised: The first and last name of the authors were interchanged. Now, they have been corrected.

This article is part of the topical collection “Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications” guest edited by Bhanu Prakash K N and M. Shivakumar.

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Gundu, S.R., Panem, C.A. & Thimmapuram, A. Real-Time Cloud-Based Load Balance Algorithms and an Analysis. SN COMPUT. SCI. 1, 187 (2020). https://doi.org/10.1007/s42979-020-00199-8

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