Scientific Workflow Makespan Minimization in Edge Multiple Service Providers Environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09704-z.pdf
Reference25 articles.
1. Farid, M., Latip, R., Hussin, M., & Abdul Hamid, N. A. W. (2020). A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing. Symmetry, 12(4), 551.
2. Sabahat, S., Bukhari, H., & Xia, Y. (2019). A novel completion-time-minimization scheduling approach of scientific workflows over heterogeneous cloud computing systems. International Journal of Web Services Research, 16(4), 1–20.
3. Banerjee, S., Adhikari, M., Kar, S., & Biswas, U. (2015). Development and analysis of a new cloudlet allocation strategy for QoS improvement in cloud. Arabian Journal for Science and Engineering, 40(5), 1409–1425.
4. Garg, S. K., Toosi, A. N., Gopalaiyengar, S. K., & Buyya, R. (2014). SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter. Journal of Network and Computer Applications, 45, 108–120.
5. Wang, P., Lei, Y., Agbedanu, P. R., & Zhang, Z. (2020). Makespan-driven workflow scheduling in clouds using immune-based PSO algorithm. IEEE Access, 8, 29281–29290.
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