Search Results - (( things application scheduling algorithm ) OR ( java application optimization algorithm ))

Refine Results
  1. 1

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
    Get full text
    Get full text
    Article
  2. 2

    A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things by Bakhshad, Said, Noor, Rafidah Md, Akhundzada, Adnan, Saba, Tanzila, Ahmedy, Ismail, Haroon, Faisal, Nazir, Babar

    Published 2018
    “…We propose a novel dynamic Replication Aware Load Balanced Scheduling (DRALBS) algorithm, that considers the replica location dynamically at the time of scheduling of the job. …”
    Get full text
    Get full text
    Article
  3. 3

    Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

    Published 2022
    “…This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
  4. 4
  5. 5

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
    Get full text
    Get full text
    Conference or Workshop Item
  6. 6

    Improving throughput of TCP flows by utilizing TCP-aware backpressure scheduling by Kassim, P. D. M., Muhammed, A., Kadir, M. F. A., Mohamed, M. A., Rahiman, A. R. A., Jamil, N.

    Published 2023
    “…Moreover, we proposed a modified TCP-Aware backpressure routing and scheduling algorithm further improve the network throughput of the existing TCP-Aware backpressure routing and scheduling algorithm. …”
    Get full text
    Get full text
    Article
  7. 7

    Improving throughput of TCP flows by utilizing TCP-aware backpressure scheduling by Kassim P.D.M., Muhammed A., Kadir M.F.A., Mohamed M.A., Rahiman A.R.A., Jamil N.

    Published 2024
    “…Moreover, we proposed a modified TCP-Aware backpressure routing and scheduling algorithm further improve the network throughput of the existing TCP-Aware backpressure routing and scheduling algorithm. …”
    Conference Paper
  8. 8

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
    Get full text
    Get full text
    Final Year Project
  9. 9

    Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

    Published 2023
    “…The application of the Internet of Things (IoT) is increasing to almost all aspects of human endevour. …”
    Get full text
    Get full text
    Thesis
  10. 10

    Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review by Al-Qadhi, Abdulrahman K., Latip, Rohaya, Chiong, Raymond, Athauda, Rukshan, Hussin, Masnida

    Published 2025
    “…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11
  12. 12
  13. 13
  14. 14

    Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

    Published 2023
    “…Fog computing is a popular choice for Internet of Things (IoT) applications, such as electricity, health, transportation, smart cities, security, and more. …”
    Get full text
    Get full text
    Article
  15. 15
  16. 16
  17. 17

    A survey on the design aspects and opportunities in age-aware UAV-aided data collection for sensor networks and Internet of Things applications by Amodu, Oluwatosin Ahmed, Nordin, Rosdiadee, Jarray, Chedia, Bukar, Umar Ali, Raja Mahmood, Raja Azlina, Othman, Mohamed

    Published 2023
    “…However, timely delivery of information by UAVs in WSN/IoT networks can be very complex due to various technical challenges, such as flight and trajectory control, as well as considerations of the scheduling of UAVs and SNs. Recently, the Age of Information (AoI), a metric used to measure the degree of freshness of information collected in data-gathering applications, has gained much attention. …”
    Get full text
    Get full text
    Article
  18. 18

    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
    Get full text
    Get full text
    Thesis
  19. 19
  20. 20