A Multi-parameter Based Resource Management Approach for Cloud Environment

  • Akkrabani Bharani Pradeep KumarEmail author
  • Venkata Nageswara Rao Padmanabhuni
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 98)


In this paper, a multi-parameter based resource management (MPRM) model is proposed for dynamic provisioning instances based on the customer request submission. In MPRM three step model consist of (1) A prediction unit employed to calculate the submitted job estimated execution time (EET) and based on which it provisions the users’ requests instantly or with a delay. (2) In order to balance the load of physical servers, a load balancer is employed to balance the incoming load with the help of VM while assigning. (3) In addition, a migration unit employed to balance and optimize the resource usage with the help of job queue and clustering techniques. The proposed model able to manage both large number of users’ request and server load while keeping energy utilization in mind. The efficacy of the proposed model is tested with help of different randomized customized traces and is compared with different approaches.


Cloud computing Resource provisioning Load balance Live migration Clustering 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Akkrabani Bharani Pradeep Kumar
    • 1
    Email author
  • Venkata Nageswara Rao Padmanabhuni
    • 1
  1. 1.Department of Computer Science and EngineeringGITAM (Deemed to Be University)VisakhapatnamIndia

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