Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments

By Jing Xu, José A. B. Fortes. 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing, 2010

550 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/c7ea13ddd27c5a5a0280ea222df8c584d9e3c434

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. Shui Yu
2. Zhi-hui Zhan
3. Jun Zhang
4. Liang Liu
5. Deze Zeng
6. Zixue Cheng
7. Yun Li

In Information Systems

1. Shui Yu
2. Zhi-hui Zhan
3. Jun Zhang
4. Liang Liu
5. Deze Zeng
6. Zixue Cheng
7. Yun Li

Citations in the corpus

• A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, methodology): “In [16], the VM placement problem is formulated as a multi-objective optimization problem of simultaneously minimizing total resource wastage, power consumption and thermal dissipation costs.”
• An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, methodology): “A modified GA with fuzzy multiobjective evaluation was developed for the VMP in [30].”
• Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System (2016, background): “Xu and Fortes [23] propose a two-level control system to manage the mappings of workloads to VMs and VMs to physical resources.”