These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 37571695)

  • 1. Deep Reinforcement Learning for Workload Prediction in Federated Cloud Environments.
    Ahamed Z; Khemakhem M; Eassa F; Alsolami F; Basuhail A; Jambi K
    Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Harris Hawk Optimisation system for energy and resource efficient virtual machine placement in cloud data centers.
    H S M; T SK; Gupta P; McArdle G
    PLoS One; 2023; 18(8):e0289156. PubMed ID: 37566590
    [TBL] [Abstract][Full Text] [Related]  

  • 3. E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers.
    Kumar V; Ali A; Mittal P; Aqeel I; Shuaib M; Alam S; Aalsalem MY
    PLoS One; 2024; 19(6):e0303313. PubMed ID: 38857300
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing.
    Han G; Que W; Jia G; Shu L
    Sensors (Basel); 2016 Feb; 16(2):246. PubMed ID: 26901201
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques.
    Simaiya S; Lilhore UK; Sharma YK; Rao KBVB; Maheswara Rao VVR; Baliyan A; Bijalwan A; Alroobaea R
    Sci Rep; 2024 Jan; 14(1):1337. PubMed ID: 38228707
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards virtual machine scheduling research based on multi-decision AHP method in the cloud computing platform.
    Gu H; Wang J; Yu J; Wang D; Li B; He X; Yin X
    PeerJ Comput Sci; 2023; 9():e1675. PubMed ID: 38077558
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Federated learning inspired Antlion based orchestration for Edge computing environment.
    H S M; Gupta P
    PLoS One; 2024; 19(6):e0304067. PubMed ID: 38833448
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prioritized Task-Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization.
    Mangalampalli S; Swain SK; Chakrabarti T; Chakrabarti P; Karri GR; Margala M; Unhelkar B; Krishnan SB
    Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37448004
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Energy efficient virtual machines placement in cloud datacenters using genetic algorithm and adaptive thresholds.
    Alourani A; Khalid A; Tahir M; Sardaraz M
    PLoS One; 2024; 19(1):e0296399. PubMed ID: 38166050
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A static VM placement and hybrid job scheduling model for green data centers.
    Movahedi Nia Z; Khayyambashi MR; Miri A
    PLoS One; 2020; 15(8):e0237238. PubMed ID: 32790750
    [TBL] [Abstract][Full Text] [Related]  

  • 11. OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments.
    Saxena D; Singh AK
    J Supercomput; 2022; 78(6):8003-8024. PubMed ID: 35013645
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment.
    Mangalampalli S; Karri GR; Mohanty SN; Ali S; Khan MI; Abduvalieva D; Awwad FA; Ismail EAA
    Sci Rep; 2023 Nov; 13(1):19179. PubMed ID: 37932308
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Energy-Efficient Strategy and Secure VM Placement Algorithm in Cloud Computing.
    Srivastava DK; Tiwari PK; Srivastava M; Dawadi BR
    Comput Intell Neurosci; 2022; 2022():5324202. PubMed ID: 36059392
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Virtual Machine Consolidation Algorithm Based on Dynamic Load Mean and Multi-Objective Optimization in Cloud Computing.
    Li P; Cao J
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501855
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation.
    Akintoye SB; Bagula A
    Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30871160
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance-Cost Trade-Off in Auto-Scaling Mechanisms for Cloud Computing.
    Fé I; Matos R; Dantas J; Melo C; Nguyen TA; Min D; Choi E; Silva FA; Maciel PRM
    Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161968
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MAG-D: A multivariate attention network based approach for cloud workload forecasting.
    Patel YS; Bedi J
    Future Gener Comput Syst; 2023 May; 142():376-392. PubMed ID: 36714386
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm.
    Kaur A; Kumar S; Gupta D; Hamid Y; Hamdi M; Ksibi A; Elmannai H; Saini S
    Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37447966
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Randomized routing of virtual machines in IaaS data centers.
    Khani H; Khanmirza H
    PeerJ Comput Sci; 2019; 5():e211. PubMed ID: 33816864
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation.
    Alvi SBK; Nayyer MZ; Jamal MH; Raza I; de la Torre Diez I; Velasco CLR; Brenosa JM; Ashraf I
    Digit Health; 2023; 9():20552076231203604. PubMed ID: 37799499
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.