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Emerging computational challenges in cloud computing and RTEAH algorithm based solution

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Abstract

The new era of computation has given new directions for advancement and sophistication. The meaning of computation has made a paradigm shift from device and location orientation to the distributed level. Cloud has working models with a service-oriented delivery mechanism as well as a deployment oriented infrastructure mechanism. Data centers are the backbone of cloud computing. Multi-cloud exchanges allow organizations to establish a single connection to multiple cloud providers at the same time through an Ethernet switching platform, rather than wrestling with multiple individual connections to cloud providers. The massive participation of the public has also increased the load on the cloud servers. Proper scheduling of resources is always needed. There are many load balancing algorithms are there and all of them have their limitations. Different circumstances need different load balancing approaches. One single algorithm would not be able to provide a proper scheduling mechanism in all the needed directions. Therefore ‘hybrid algorithms’ would be best suited to provide improved services to the needs of the present conditions. This present paper analyzed a few and this can be carry forwarded to the next level with some other algorithms and parameters with vigorous efforts to analyze.

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Acknowledgements

I wish to thank various Data centers in Hyderabad Cloud4C & CtrlS-CTRLS, NettLinx, Ricoh Data Center, and National Informatics Centre (NIC)—Hyderabad who has guided me to collect relevant information.I sincerely thank my Research Supervisor and Ex-Vice-Chancellor (i/c) of Dravidian University, Prof. T. Anuradha for her elderly contribution to this paper and for her guiding through her teaching, research guidance which made me explore more into the qualitative content about the cloud computing environment. I wish to thank Late Mr. Panem Nadipi Chennaih for his continues support for the development of this research paper and it is dedicated to him.

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This Study is not funded by any organization.

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Authors and Affiliations

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

    Srinivasa Rao Gundu

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

    Charan Arur Panem

  3. Dravidian University, Andhra Pradesh, India

    Anuradha Thimmapuram

  4. Goa University, Goa, India

    R. S. Gad

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  1. Srinivasa Rao Gundu
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  2. Charan Arur Panem
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  3. Anuradha Thimmapuram
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  4. R. S. Gad
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Correspondence to Srinivasa Rao Gundu.

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Gundu, S.R., Panem, C.A., Thimmapuram, A. et al. Emerging computational challenges in cloud computing and RTEAH algorithm based solution. J Ambient Intell Human Comput 13, 4249–4263 (2022). https://doi.org/10.1007/s12652-021-03380-w

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  • DOI: https://doi.org/10.1007/s12652-021-03380-w

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