scholarly journals Optimizing Egalitarian Performance in the Side-Effects Model of Colocation for Data Center Resource Management

Author(s):  
Fanny Pascual ◽  
Krzysztof Rzadca
2008 ◽  
Vol 81 (9) ◽  
pp. 1591-1608 ◽  
Author(s):  
Xiaoying Wang ◽  
Zhihui Du ◽  
Yinong Chen ◽  
Sanli Li

2020 ◽  
Vol 39 ◽  
pp. 100594
Author(s):  
Congying Zhi ◽  
Wei Ji ◽  
Rui Yin ◽  
Jinku Feng ◽  
Hongji Xu ◽  
...  

Author(s):  
Hu XUE ◽  
Jian-ping LUO ◽  
Xiong-wen HUANG ◽  
Yun YANG

2015 ◽  
Vol 6 ◽  
pp. 3-16 ◽  
Author(s):  
Mohammad A. Islam ◽  
Shaolei Ren ◽  
Niki Pissinou ◽  
A. Hasan Mahmud ◽  
Athanasios V. Vasilakos

Author(s):  
Mohammad A. Islam ◽  
Shaolei Ren ◽  
Niki Pissinou ◽  
Hasan Mahmud ◽  
Athanasios V. Vasilakos

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2880
Author(s):  
Abbas Akbari ◽  
Ahmad Khonsari ◽  
Seyed Mohammad Ghoreyshi

In recent years, a large and growing body of literature has addressed the energy-efficient resource management problem in data centers. Due to the fact that cooling costs still remain the major portion of the total data center energy cost, thermal-aware resource management techniques have been employed to make additional energy savings. In this paper, we formulate the problem of minimizing the total energy consumption of a heterogeneous data center (MITEC) as a non-linear integer optimization problem. We consider both computing and cooling energy consumption and provide a thermal-aware Virtual Machine (VM) allocation heuristic based on the genetic algorithm. Experimental results show that, using the proposed formulation, up to 30 % energy saving is achieved compared to thermal-aware greedy algorithms and power-aware VM allocation heuristics.


2015 ◽  
Vol 88 ◽  
pp. 121-135 ◽  
Author(s):  
Weigang Hou ◽  
Lei Guo ◽  
Yejun Liu ◽  
Cunqian Yu ◽  
Yue Zong

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