Search Results - (( simulation computer user algorithm ) OR ( java simulation optimization algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3

    Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

    Published 2022
    “…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  4. 4

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
    Get full text
    Get full text
    Get full text
    Monograph
  6. 6

    Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

    Published 2023
    “…This has led to a great migration of users to cloud computing from other modes of computing. …”
    Get full text
    Get full text
    Thesis
  7. 7

    Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

    Published 2014
    “…Hence, the numerical simulations take unacceptably more execution time on sequential computers to run the simulation packages. …”
    Get full text
    Get full text
    Thesis
  8. 8
  9. 9

    Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony by Mohd Izuddin Sipluk

    Published 2022
    “…During the methodology chapter, a comprehensive investigation has been done to ascertain the proposed method that can be adopted such as algorithms involved, project flow, and simulation. This is essential to produce a system that has a feature such as web-based system that is able to generate a report from the simulation. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  10. 10
  11. 11
  12. 12

    Relationship based replication algorithm for data grid by Yusof, Yuhanis

    Published 2014
    “…Such an approach overcomes existing algorithms that is based either on users request or resource capabilities as an individual. …”
    Get full text
    Get full text
    Monograph
  13. 13

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
    Review
  14. 14
  15. 15
  16. 16
  17. 17

    Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

    Published 2023
    “…In MEC environment, cloudlets that represent a relatively powerful computing resource can be collocated with the base station to enable good coverage of computing service due to the high demand and random distribution of users. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19
  20. 20

    Energy detection for spectrum sensing in OFDM-based cooperative and non-cooperative radio networks by Salman, Emad Hmood

    Published 2018
    “…In addition, it decreases the computational complexity. Moreover, the second algorithm improves the global decision through realizing the desired detection performance with low computational complexity. …”
    Get full text
    Get full text
    Thesis