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Social Spider Foraging Based Resource Placement Policies in Cloud Environment

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Proceedings of 2nd International Conference on Communication, Computing and Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 46))

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Abstract

Expansion in the cloud infrastructure leads to the challenge of resource placement. The existing resource placement techniques are not sufficiently effective. In this paper, the mathematical model of social spider cloud web algorithm is presented that targets the improvement in the utilization and focuses on the overall cloud performance. A new novel nature-inspired algorithm, social spider cloud web algorithm, helps in resource placement and load balancing of the cloud. It works on the foraging behavior of social spider and sorts the tasks and allocates the resources which leads to the efficient cloud performance.

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Acknowledgements

We want to thank Mr. Sukhwinder Singh for his guidance.

Author information

Authors and Affiliations

  1. STD, CDAC, Mohali, Punjab, India

    Preeti Abrol

  2. CSE, UIET, Chandigarh, India

    Savita Gupta

Authors
  1. Preeti Abrol
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  2. Savita Gupta
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Corresponding author

Correspondence to Preeti Abrol .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India

    C. Rama Krishna

  2. Department of Educational Television Centre, National Institute of Technical Teachers Training and Research, Chandigarh, India

    Maitreyee Dutta

  3. Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India

    Rakesh Kumar

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© 2019 Springer Nature Singapore Pte Ltd.

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Abrol, P., Gupta, S. (2019). Social Spider Foraging Based Resource Placement Policies in Cloud Environment. In: Krishna, C., Dutta, M., Kumar, R. (eds) Proceedings of 2nd International Conference on Communication, Computing and Networking. Lecture Notes in Networks and Systems, vol 46. Springer, Singapore. https://doi.org/10.1007/978-981-13-1217-5_90

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  • DOI: https://doi.org/10.1007/978-981-13-1217-5_90

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1216-8

  • Online ISBN: 978-981-13-1217-5

  • eBook Packages: EngineeringEngineering (R0)

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