Hybrid Nature-inspired algorithm for efferent cloud resource utilization

  • Authors

    • Monika .
    • Vivek Jaglan
    • Jugnesh Kumar
    • Akshat Agrawal
    2018-03-10
    https://doi.org/10.14419/ijet.v7i2.4.10036
  • Cloud computing, genetic algorithm, load balancing, fitness value, load percentage.

  • Abstract

    Cloud computing has come up as a standout amongst the most encouraging &reliable advancements in the IT part. However by and by there exists a noteworthy issue of load adjusting in the distributed computing condition. This paper comprises of an answer for streamlining the heap utilizing hereditary calculation. Hereditary calculation which takes after the transformative system can build up an answer near ideal arrangement. The proposed calculation is produced by consolidating two existing calculations by considering cost an incentive as the wellness work. The workload is adjusted by the considering the mix of both the heap rate and cost estimation of the assets. Allotment of assets is performed by taking the best fit esteem and lessening the reaction time and general cost. Reenactment comes about are indicated utilizing the cloud examiner test system.

  • References

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  • How to Cite

    ., M., Jaglan, V., Kumar, J., & Agrawal, A. (2018). Hybrid Nature-inspired algorithm for efferent cloud resource utilization. International Journal of Engineering & Technology, 7(2.4), 26-29. https://doi.org/10.14419/ijet.v7i2.4.10036

    Received date: 2018-03-10

    Accepted date: 2018-03-10

    Published date: 2018-03-10