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Clustering Based User Preference Resource Scheduling in Cloud Computing

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

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Abstract

Many of the available researches have been concentrating on the profits maximization of cloud providers, while the actual necessities of cloud users have been ignored. Here, a Clustering based User preference (CUP) resource scheduling technique is proposed that can be used by a cloud provider for meeting the resource needs of a user in a better way. The novel CUP scheduling mechanism consists of four stages: resource matching, resource selection, clustering and resource scheduling. The user must be given a consideration if the same user puts forward multiple requirements. Updating of user demands and preferences are done at the resource scheduling stage. This method chooses the “best” VM which improves resourcefulness of CC and thereby minimizes the average response time of tasks. The results show that the CUP algorithm proposed efficiently satisfies the diverse requirements of the users and assists in the better resource utilization.

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Authors and Affiliations

  1. Sri Ramakrishna Engineering College, Coimbatore, 641022, India

    Ramasamy Madhumathi, Sureshkumar Sadhasivam & Reshma Sultana

  2. Vidhya Mandhir Institute of Technology, Erode, 638052, India

    Radhakrishnan Rathinavel

Authors
  1. Ramasamy Madhumathi
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  2. Radhakrishnan Rathinavel
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  3. Sureshkumar Sadhasivam
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  4. Reshma Sultana
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Corresponding author

Correspondence to Ramasamy Madhumathi .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Madhumathi, R., Rathinavel, R., Sadhasivam, S., Sultana, R. (2016). Clustering Based User Preference Resource Scheduling in Cloud Computing. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_102

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_102

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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