Data replication and scheduling in the cloud with optimization assisted work flow management
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17836-y.pdf
Reference41 articles.
1. Pang S, Li W, He H, Shan Z, Wang X (2019) An EDA-GA hybrid algorithm for multi-objective task scheduling in cloud computing. IEEE Access 7:146379–146389
2. Ismayilov G, Topcuoglu HR (2020) Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing. Future Gener Comput Syst 102:307–322
3. Lee J-W, Jang G, Jung H, Lee J-G, Lee U (2019) Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. Pervasive Mob Comput 60:101082
4. Chen M, Liang B, Dong M (2018) Multi-user multi-task offloading and resource allocation in mobile cloud systems. IEEE Trans Wireless Commun 17(10):6790–6805
5. Simic V, Stojanovic B, Ivanovic M (2019) Optimizing the performance of optimization in the cloud environment–An intelligent auto-scaling approach. Futur Gener Comput Syst 101:909–920
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