Efficient task scheduling on the cloud using artificial neural network and particle swarm optimization

被引：0
|
作者：
Nayak, Pritam Kumar [1 ]
Singh, Ravi Shankar [1 ]
Kushwaha, Shweta [1 ]
Bevara, Prasanth Kumar [1 ]
Kumar, Vinod [1 ]
Medara, Rambabu [2 ]
机构：
[1] Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India
[2] Department of Computer Science and Engineering, Gandhi Institute of Technology and Management, Visakhapatnam, India
来源：
Concurrency and Computation: Practice and Experience | 2024年 / 36卷 / 06期
关键词：
722.4 Digital Computers and Systems - 723 Computer Software; Data Handling and Applications - 723.4 Artificial Intelligence - 921.5 Optimization Techniques - 922.2 Mathematical Statistics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
47
引用
收藏
相关论文
共 50 条
  • [1] Efficient task scheduling on the cloud using artificial neural network and particle swarm optimization
    Nayak, Pritam Kumar
    Singh, Ravi Shankar
    Kushwaha, Shweta
    Bevara, Prasanth Kumar
    Kumar, Vinod
    Medara, Rambabu
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (06):
  • [2] Efficient Task Scheduling in Cloud Computing using an Improved Particle Swarm Optimization Algorithm
    Peng, Guang
    Wolter, Katinka
    CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2019, : 58 - 67
  • [3] Efficient Task Scheduling Multi-Objective Particle Swarm Optimization in Cloud Computing
    Alkayal, Entisar S.
    Jennings, Nicholas R.
    Abulkhair, Maysoon F.
    PROCEEDINGS OF THE 2016 IEEE 41ST CONFERENCE ON LOCAL COMPUTER NETWORKS - LCN WORKSHOPS 2016, 2016, : 17 - 24
  • [4] Internet of Things Task Scheduling in Cloud Environment using Particle Swarm Optimization
    Hasan, Mohammed Zaki
    Al-Rizzo, Hussain
    Al-Turiman, Fadi
    Rodriguez, Jonathan
    Radwan, Ayman
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [5] Cloud Task Scheduling using Particle Swarm Optimization and Capuchin Search Algorithms
    Wang, Gang
    Feng, Jiayin
    Jia, Dongyan
    Song, Jinling
    LI, Guolin
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (07) : 1009 - 1017
  • [6] Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)
    Alghamdi, Mohammed, I
    SUSTAINABILITY, 2022, 14 (19)
  • [7] Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization
    Hasan, Mohammed Zaki
    Al-Rizzo, Hussain
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 32 (02):
  • [8] Solving Task Scheduling Problem in the Cloud Using a Hybrid Particle Swarm Optimization Approach
    Cheikh, Salmi
    Walker, Jessie J.
    INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING, 2022, 13 (01)
  • [9] Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling
    Abdolrasol, Maher G. M.
    Mohamed, Ramizi
    Hannan, M. A.
    Al-Shetwi, Ali Q.
    Mansor, M.
    Blaabjerg, Frede
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (11) : 12151 - 12157
  • [10] Cloud Task Scheduling Based on Chaotic Particle Swarm Optimization Algorithm
    Li Yingqiu
    Li Shuhua
    Gao Shoubo
    2016 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2017, : 493 - 496
12345