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.
7. GCWOAS2: Multiobjective Task Scheduling Strategy Based on Gaussian Cloud-Whale Optimization in Cloud Computing. Ni L; Sun X; Li X; Zhang J Comput Intell Neurosci; 2021; 2021():5546758. PubMed ID: 34211547 [TBL] [Abstract][Full Text] [Related]
8. A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques. Bal PK; Mohapatra SK; Das TK; Srinivasan K; Hu YC Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161987 [TBL] [Abstract][Full Text] [Related]
9. Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment. Abdullahi M; Ngadi MA PLoS One; 2016; 11(6):e0158229. PubMed ID: 27348127 [TBL] [Abstract][Full Text] [Related]
10. AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing. Nabi S; Ahmad M; Ibrahim M; Hamam H Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161665 [TBL] [Abstract][Full Text] [Related]
11. Smart Resource Allocation in Mobile Cloud Next-Generation Network (NGN) Orchestration with Context-Aware Data and Machine Learning for the Cost Optimization of Microservice Applications. Hassan MU; Al-Awady AA; Ali A; Iqbal MM; Akram M; Jamil H Sensors (Basel); 2024 Jan; 24(3):. PubMed ID: 38339582 [TBL] [Abstract][Full Text] [Related]
12. Hybrid deep learning and optimized clustering mechanism for load balancing and fault tolerance in cloud computing. Siruvoru V; Aparna S Network; 2024 Jun; ():1-22. PubMed ID: 38934441 [TBL] [Abstract][Full Text] [Related]
13. SJFO: Sail Jelly Fish Optimization enabled VM migration with DRNN-based prediction for load balancing in cloud computing. Rathinam R; Sivakumar P; Sigamani S; Kothandaraman I Network; 2024 Nov; 35(4):403-428. PubMed ID: 38829364 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application. Saad M; Enam RN; Qureshi R Front Big Data; 2024; 7():1358486. PubMed ID: 38449564 [TBL] [Abstract][Full Text] [Related]
16. An Efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing Using Firefly Optimization. Mangalampalli S; Karri GR; Elngar AA Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772424 [TBL] [Abstract][Full Text] [Related]
17. Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments. Ala'anzy MA; Othman M; Hanapi ZM; Alrshah MA Sensors (Basel); 2021 Nov; 21(21):. PubMed ID: 34770615 [TBL] [Abstract][Full Text] [Related]
18. EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework. Kumar MS; Karri GR Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904650 [TBL] [Abstract][Full Text] [Related]
19. A Scheduling Algorithm for Cloud Computing System Based on the Driver of Dynamic Essential Path. Xie Z; Shao X; Xin Y PLoS One; 2016; 11(8):e0159932. PubMed ID: 27490901 [TBL] [Abstract][Full Text] [Related]
20. Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects. Alsadie D PeerJ Comput Sci; 2024; 10():e2128. PubMed ID: 38983206 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]