An Analysis of Task-Based Algorithms for Cloud Computing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3758-5_44
Reference19 articles.
1. Gawali MB, Shinde SK (2018) Task scheduling and resource allocation in cloud computing using a heuristic approach. J Cloud Comput 7(1). https://doi.org/10.1186/s13677-018-0105-8
2. Shahid MA, Islam N, Alam MM, Su’Ud MM, Musa S (2020) A comprehensive study of load balancing approaches in the cloud computing environment and a novel fault tolerance approach. IEEE Access 8:130500–130526. https://doi.org/10.1109/ACCESS.2020.3009184
3. Ray S (2012) Execution analysis of load balancing algorithms in cloud computing environment. Int J Cloud Comput Serv Archit 2(5):1–13. https://doi.org/10.5121/ijccsa.2012.2501
4. Jurgelevicius A, Sakalauskas L, Marcinkevicius V (2021) Application of a task stalling buffer in distributed hybrid cloud computing. Elektron Elektrotech 27(6):57–65. https://doi.org/10.5755/j02.eie.28679
5. Nair B, Bhanu SMS (2022) Task scheduling in fog node within the tactical cloud. Def Sci J 72(1):49–55. https://doi.org/10.14429/DSJ.72.17039
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