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An Efficient Honey Bee Approach for Load Adjusting in Cloud Environment

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Social Networking and Computational Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 100))

Abstract

Cloud computing is an Internet-based approach that delivers on-demand processing resources and information to the users in a shared mode. At the serving end, there is a prerequisite of proper scheduling and load adjusting to deal with the enormous measure of data. Our algorithm aims to distribute the equal load on each server in the cloud network and additionally enhances the asset usage. With the proposed approach, the honey bee inspired load adjusting (HBI-LA) method has been used for balancing the load of the virtual machine and schedule the task with respect of their priorities. Because of over-burdening of the task on a machine, there may be a chance of CPU crash. To overcome this problem, aging is applied to gradually enhance the priority of those jobs having longer waiting time as compared to the predefined time. At last, we compared our proposed work with the existing HBB-LB in terms of CPU time, execution time and waiting time. The examination of these three parameters demonstrates that the proposed algorithm requires less CPU time, less execution time and less waiting time than existing algorithm, hence it shows better performance and less energy consumption than the existing one.

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Author information

Authors and Affiliations

  1. National Institute of Technology Raipur, Raipur, Chhattisgarh, 492010, India

    Sangeeta Kumari

  2. National Institute of Technical Teachers’ Training & Research, Bhopal, Madhya Pradesh, 462002, India

    Shailendra Singh

Authors
  1. Sangeeta Kumari
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  2. Shailendra Singh
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Corresponding author

Correspondence to Sangeeta Kumari .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh, India

    Rajesh Kumar Shukla

  2. Department of Computer Science and Engineering, University Teaching Department, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Jitendra Agrawal

  3. School of Information Technology, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Sanjeev Sharma

  4. Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Narendra S. Chaudhari

  5. Department of Computer Science and Engineering, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, India

    K. K. Shukla

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Kumari, S., Singh, S. (2020). An Efficient Honey Bee Approach for Load Adjusting in Cloud Environment. In: Shukla, R., Agrawal, J., Sharma, S., Chaudhari, N., Shukla, K. (eds) Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems, vol 100. Springer, Singapore. https://doi.org/10.1007/978-981-15-2071-6_1

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