scholarly journals Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers

2021 ◽  
pp. 100306
Author(s):  
Xiaopu Peng ◽  
Tathagata Bhattacharya ◽  
Ting Cao ◽  
Jianzhou Mao ◽  
Taha Tekreeti ◽  
...  
2012 ◽  
Vol 13 (03n04) ◽  
pp. 1250010
Author(s):  
SHAOSHAN LIU ◽  
WON W. RO ◽  
CHEN LIU ◽  
ALFREDO CRISTOBAL-SALAS ◽  
CHRISTOPHE CÉRIN ◽  
...  

The computer industry is moving towards two extremes: extremely high-performance high-throughput cloud computing, and low-power mobile computing. Cloud computing, while providing high performance, is very costly. Google and Microsoft Bing spend billions of dollars each year to maintain their server farms, mainly due to the high power bills. On the other hand, mobile computing is under a very tight energy budget, but yet the end users demand ever increasing performance on these devices. This trend indicates that conventional architectures are not able to deliver high-performance and low power consumption at the same time, and we need a new architecture model to address the needs of both extremes. In this paper, we thus introduce our Extremely Heterogeneous Architecture (EHA) project: EHA is a novel architecture that incorporates both general-purpose and specialized cores on the same chip. The general-purpose cores take care of generic control and computation. On the other hand, the specialized cores, including GPU, hard accelerators (ASIC accelerators), and soft accelerators (FPGAs), are designed for accelerating frequently used or heavy weight applications. When acceleration is not needed, the specialized cores are turned off to reduce power consumption. We demonstrate that EHA is able to improve performance through acceleration, and at the same time reduce power consumption. Since EHA is a heterogeneous architecture, it is suitable for accelerating heterogeneous workloads on the same chip. For example, data centers and clouds provide many services, including media streaming, searching, indexing, scientific computations. The ultimate goal of the EHA project is two-fold: first, to design a chip that is able to run different cloud services on it, and through this design, we would be able to greatly reduce the cost, both recurring and non-recurring, of data centers\clouds; second, to design a light-weight EHA that runs on mobile devices, providing end users with improved experience even under tight battery budget constraints.


2014 ◽  
Vol E97.B (12) ◽  
pp. 2698-2705
Author(s):  
Tomoyuki HINO ◽  
Hitoshi TAKESHITA ◽  
Kiyo ISHII ◽  
Junya KURUMIDA ◽  
Shu NAMIKI ◽  
...  

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 61948-61958 ◽  
Author(s):  
Ran Wang ◽  
Yiwen Lu ◽  
Kun Zhu ◽  
Jie Hao ◽  
Ping Wang ◽  
...  

Author(s):  
Minxian Xu ◽  
Adel N. Toosi ◽  
Behrooz Bahrani ◽  
Reza Razzaghi ◽  
Martin Singh

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5719
Author(s):  
JiHyun Hwang ◽  
Taewon Lee

The recent expansion of the internet network and rapid advancements in information and communication technology are expected to lead to a significant increase in power consumption and the number of data centers. However, these data centers consume a considerable amount of electric power all year round, regardless of working days or holidays; thus, energy saving at these facilities has become essential. A disproportionate level of power consumption is concentrated in computer rooms because air conditioners in these rooms are required to operate throughout the year to maintain a constant indoor environment for stable operation of computer equipment with high-heat release densities. Considerable energy-saving potential is expected in such computer rooms, which consume high levels of energy, if an outdoor air-cooling system and air conditioners are installed. These systems can reduce the indoor space temperature by introducing a relatively low outdoor air temperature. Therefore, we studied the energy-saving effect of introducing an outdoor air-cooling system in a computer room with a disorganized arrangement of servers and an inadequate air conditioning system in a research complex in Korea. The findings of this study confirmed that annual energy savings of up to approximately 40% can be achieved.


Author(s):  
Xu Tian ◽  
Wei Wang ◽  
Fei Liu ◽  
Guoyong Liang ◽  
Wei Zhang ◽  
...  

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