Saving Energy in Data Center Networks with Traffic-Aware Virtual Machine Placement

2013 ◽  
Vol 12 (19) ◽  
pp. 5064-5069 ◽  
Author(s):  
Chen Zhi ◽  
Huang Guowei
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Data Center Networks ◽  
Saving Energy

scholarly journals Optimized Virtual Machine Placement with Traffic-Aware Balancing in Data Center Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Tao Chen ◽  
Xiaofeng Gao ◽  
Guihai Chen
Keyword(s):  
Virtual Machine ◽  
Heuristic Algorithm ◽  
Data Center ◽  
Virtual Machines ◽  
Virtual Machine Placement ◽  
Np Hard ◽  
Data Center Networks ◽  
Placement Problem ◽  
Placement Algorithm ◽  
Communication Locality

Virtualization has been an efficient method to fully utilize computing resources such as servers. The way of placing virtual machines (VMs) among a large pool of servers greatly affects the performance of data center networks (DCNs). As network resources have become a main bottleneck of the performance of DCNs, we concentrate on VM placement with Traffic-Aware Balancing to evenly utilize the links in DCNs. In this paper, we first proposed a Virtual Machine Placement Problem with Traffic-Aware Balancing (VMPPTB) and then proved it to be NP-hard and designed a Longest Processing Time Based Placement algorithm (LPTBP algorithm) to solve it. To take advantage of the communication locality, we proposed Locality-Aware Virtual Machine Placement Problem with Traffic-Aware Balancing (LVMPPTB), which is a multiobjective optimization problem of simultaneously minimizing the maximum number of VM partitions of requests and minimizing the maximum bandwidth occupancy on uplinks of Top of Rack (ToR) switches. We also proved it to be NP-hard and designed a heuristic algorithm (Least-Load First Based Placement algorithm, LLBP algorithm) to solve it. Through extensive simulations, the proposed heuristic algorithm is proven to significantly balance the bandwidth occupancy on uplinks of ToR switches, while keeping the number of VM partitions of each request small enough.

Improving Resource Utilization via Virtual Machine Placement in Data Center Networks

2017 ◽  
Vol 23 (2) ◽  
pp. 227-238 ◽  
Author(s):  
Tao Chen ◽  
Yaoming Zhu ◽  
Xiaofeng Gao ◽  
Linghe Kong ◽  
Guihai Chen ◽  
...  
Keyword(s):  
Resource Utilization ◽  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Data Center Networks

Virtual machine placement with two-path traffic routing for reduced congestion in data center networks

2014 ◽  
Vol 53 ◽  
pp. 1-12 ◽  
Author(s):  
Renuga Kanagavelu ◽  
Bu-Sung Lee ◽  
Nguyen The Dat Le ◽  
Luke Ng Mingjie ◽  
Khin Mi Mi Aung
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Data Center Networks ◽  
Traffic Routing

Virtual machine placement for minimizing connection cost in data center networks

2017 ◽  
Vol 26 ◽  
pp. 183-198 ◽  
Author(s):  
Takuro Fukunaga ◽  
Shuichi Hirahara ◽  
Hiyori Yoshikawa
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Data Center Networks ◽  
Connection Cost

scholarly journals Energy Efficient Virtual Machine Placement With an Improved Ant Colony Optimization Over Data Center Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 60617-60625 ◽  
Author(s):  
Wenting Wei ◽  
Huaxi Gu ◽  
Wanyun Lu ◽  
Tong Zhou ◽  
Xuanzhang Liu
Keyword(s):  
Ant Colony Optimization ◽  
Virtual Machine ◽  
Data Center ◽  
Energy Efficient ◽  
Virtual Machine Placement ◽  
Ant Colony ◽  
Data Center Networks
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