RPOA Model-Based Optimal Resource Provisioning

Optimal utilization of resources is the core of the provisioning process in the cloud computing. Sometimes the local resources of a data center are not adequate to satisfy the users’ requirements. So, the providers need to create several data centers at different geographical area around the world and spread the users’ applications on these resources to satisfy both service providers and customers QoS requirements. By considering the expansion of the resources and applications, the transmission cost and time have to be concerned as significant factors in the allocation process. According to the work of our previous paper, a Resource Provision Optimal Algorithm (RPOA) based on Particle Swarm Optimization (PSO) has been introduced to find the near optimal resource utilization with considering the customer budget and suitable for deadline time. This paper is considered an enhancement to RPOA algorithm to find the near optimal resource utilization with considering the data transfer time and cost, in addition to the customer budget and deadline time, in the performance measurement.

@article{Attar2014,
  title     = {RPOA Model-Based Optimal Resource Provisioning},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {2},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Noha El. Attar and Samy Abd El -Hafeez and Wael Awad and Fatma Omara},
  doi       = {10.14569/IJACSA.2014.050217},
  url       = {https://doi.org/10.14569/IJACSA.2014.050217}
}