An improved genetic algorithm using greedy strategy toward task scheduling optimization in cloud environments

Author:

Zhou Zhou,Li Fangmin,Zhu Huaxi,Xie Houliang,Abawajy Jemal H.,Chowdhury Morshed U.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference26 articles.

1. Liu XF, Zhan ZH, Deng JD et al (2018) An energy efficient ant colony system for virtual machine placement in cloud computing. IEEE Trans Evol Comput 22(1):113–128

2. Zhou Z, Abawajy J, Chowdhury M, Hu Z et al (2017) Minimizing SLA violation and power consumption in cloud data centers using adaptive energy-aware algorithms. Future Gener Comput Syst (FGCS) 86(6):836–850

3. Zhou Z, Abawajy J, Chowdhury M, Li F, Hu Z, Li K et al (2018) Fine-grained energy consumption model of servers based on task characteristics in cloud data center. IEEE Access 6(1):27080–27090

4. Xie G, Zeng G, Jiang J, Fan C, Li R, Li K (2016) Energy management for multiple real-time workflows on cyber-physical cloud systems. Future Gener Comput Syst 27(7):1915–1928

5. Wu KC, Liu WY, Wu SY (2018) Dynamic deployment and cost-sensitive provisioning for elastic mobile cloud services. IEEE Trans Mob Comput 17(6):1326–1338

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