scholarly journals Elastic-Net: Boosting Energy Efficiency and Resource Utilization in 5G C-RANs

Author(s):  
Abolfazl Hajisami ◽  
Tuyen X. Tran ◽  
Dario Pompili
2020 ◽  
Vol 172 ◽  
pp. 107170
Author(s):  
Abolfazl Hajisami ◽  
Tuyen X. Tran ◽  
Ayman Younis ◽  
Dario Pompili

2018 ◽  
Vol 189 ◽  
pp. 03016 ◽  
Author(s):  
Xiaoying Zhang ◽  
Ahmed Khwaja ◽  
Muhammad Naeem ◽  
Alagan Anpalagan

Device-to-device (D2D) communications underlaying LTE-A networks is expected to bring significant benefits for resource utilization and energy efficiency (EE) improvement of user equipment (UE). However, the allocation of radio and power resources to D2D communications needs elaborate coordination, because of the interference between D2D communications and cellular communications. In this paper, we propose an energy-efficient cooperative D2D communication (EECD2D) technique using a power allocation algorithm, aiming at maximizing EE introduced by D2D communications in LET-A networks. Specifically, we define four D2D and cellular combinations based on distances, and analyze average EE of EECD2D and that of cooperative D2D communications without optimization. Results show that average EE of our algorithm is much higher than that without optimization, and closer D2D cooperators and distant cellular UEs whose uplink resource is reused, achieve highest average energy efficiency.


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2071
Author(s):  
Ce Chi ◽  
Kaixuan Ji ◽  
Penglei Song ◽  
Avinab Marahatta ◽  
Shikui Zhang ◽  
...  

The problem of high power consumption in data centers is becoming more and more prominent. In order to improve the energy efficiency of data centers, cooperatively optimizing the energy of IT systems and cooling systems has become an effective way. In this paper, a model-free deep reinforcement learning (DRL)-based joint optimization method MAD3C is developed to overcome the high-dimensional state and action space problems of the data center energy optimization. A hybrid AC-DDPG cooperative multi-agent framework is devised for the improvement of the cooperation between the IT and cooling systems for further energy efficiency improvement. In the framework, a scheduling baseline comparison method is presented to enhance the stability of the framework. Meanwhile, an adaptive score is designed for the architecture in consideration of multi-dimensional resources and resource utilization improvement. Experiments show that our proposed approach can effectively reduce energy for data centers through the cooperative optimization while guaranteeing training stability and improving resource utilization.


2016 ◽  
Vol 54 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Dario Pompili ◽  
Abolfazl Hajisami ◽  
Tuyen X. Tran

2021 ◽  
Author(s):  
Yi shun Wuliu ◽  
Jingkai Liu ◽  
Liyue Zhang ◽  
Shuaipeng Wang ◽  
Yuejun Liu ◽  
...  

Energy efficiency and resource utilization are considered to be necessary for sustainable development. Organic phase change materials (PCMs) as an effective thermal energy storage tool have attracted great interest, but...


2020 ◽  
Author(s):  
Eduardo Lucena Falcão ◽  
Lucas Medeiros Cavalcante ◽  
Rafael Vieira Falcão ◽  
José Benardi Souza Nunes ◽  
Kaio Kassiano Moura Oliveira ◽  
...  

Optimizing resource distribution in datacenters can achieve several economic benefits, including increasing energy efficiency, better workload performance, and higher levels of job acceptance. Although some studies propose strategies that increase resource utilization whilst meeting a certain QoS, there is a perspective yet to be exploited: the Service Level Agreements (SLA) amortization. We believe that keeping service levels far above the minimum agreed is a missed opportunity to apply more aggressive strategies to reduce allocated resource fragmentation and increase even further the benefits mentioned above. In this work, we propose a novel server rebalancing strategy based on economic systems, able to capitalize from the SLAs by keeping the harmony between the aggressive competition of Free Markets and the safe control of Regulated Markets. The proposed strategy is evaluated with a modified version of CloudSim Plus simulator. The outcomes show that the SLA exploitation strategy led to an economy of 8.6% up to 23% for different mechanism configuration.


2006 ◽  
Vol 175 (4S) ◽  
pp. 4-4
Author(s):  
Gurkirpal Singh ◽  
Smriti Malla ◽  
Huijian Wang ◽  
Harcharan Gill ◽  
Kristijian H. Kahler ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 35-35
Author(s):  
Brent K. Hollenbeck ◽  
David C. Miller ◽  
Rodney L. Dunn ◽  
Willie Underwood ◽  
Shukri F. Khuri ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document