Using Ant Colony System to Consolidate VMs for Green Cloud Computing

By Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen. IEEE Transactions on Services Computing, 2015

310 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/fbe5b23a7d9bc6a1bf86c99b95d41680fb7ecc3f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Victor C. M. Leung
2. Takahiro Hara
3. Zhi-hui Zhan
4. Lei Shu
5. Jun Zhang
6. Yun Li
7. Guohong Cao
8. Liangzhong Yin

In Information Systems

1. Victor C. M. Leung
2. Zhi-hui Zhan
3. Lei Shu
4. Jun Zhang
5. Yun Li

Citations in the corpus

• A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing (2015, background): “For example, the multi-objective optimization includes the completion time, the constraints of QoS [10]–[15], energy consumption [16]–[18], [18], [20], economic cost [10], [21], [22], and the system performance [23]–[27].”
• An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, methodology): “In [38], an ACS is employed for VMs consolidation in dynamic environment to reduce energy consumption but not directly to reduce the number of servers.”
• Green Internet of Things for Smart World (2015, methodology): “With respect to green CC, potential solutions are shown as follows [7], [10], [31]–[34].”