scholarly journals DDPG-Based Energy-Efficient Flow Scheduling Algorithm in Software-Defined Data Centers

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zan Yao ◽  
Ying Wang ◽  
Luoming Meng ◽  
Xuesong Qiu ◽  
Peng Yu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Network Performance ◽  
Data Centers ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Solution Space ◽  
Large Solution ◽  
Scheduling Scheme ◽  
Saving Effect

With the rapid development of data centers, the energy consumption brought by more and more data centers cannot be underestimated. How to intelligently manage software-defined data center networks to reduce network energy consumption and improve network performance is becoming an important research subject. In this paper, for the flows with deadline requirements, we study how to design the rate-variable flow scheduling scheme to realize energy-saving and minimize the mean completion time (MCT) of flows based on meeting the deadline requirement. The flow scheduling optimization problem can be modeled as a Markov decision process (MDP). To cope with a large solution space, we design a DDPG-EEFS algorithm to find the optimal scheduling scheme for flows. The simulation result reveals that the DDPG-EEFS algorithm only trains part of the states and gets a good energy-saving effect and network performance. When the traffic intensity is small, the transmission time performance can be improved by sacrificing a little energy efficiency.

scholarly journals DQN-based energy-efficient routing algorithm in software-defined data centers

2020 ◽  
Vol 16 (6) ◽  
pp. 155014772093577
Author(s):  
Zan Yao ◽  
Ying Wang ◽  
Xuesong Qiu
Keyword(s):  
Energy Consumption ◽  
Load Balancing ◽  
Energy Saving ◽  
Heuristic Algorithm ◽  
Data Center ◽  
Energy Efficient ◽  
Data Centers ◽  
Routing Algorithm ◽  
Energy Efficient Routing ◽  
Saving Effect

With the rapid development of data centers in smart cities, how to reduce energy consumption and how to raise economic benefits and network performance are becoming an important research subject. In particular, data center networks do not always run at full load, which leads to significant energy consumption. In this article, we focus on the energy-efficient routing problem in software-defined network–based data center networks. For the scenario of in-band control mode of software-defined data centers, we formulate the dual optimal objective of energy-saving and the load balancing between controllers. In order to cope with a large solution space, we design the deep Q-network-based energy-efficient routing algorithm to find the energy-efficient data paths for traffic flow and control paths for switches. The simulation result reveals that the deep Q-network-based energy-efficient routing algorithm only trains part of the states and gets a good energy-saving effect and load balancing in control plane. Compared with the solver and the CERA heuristic algorithm, energy-saving effect of the deep Q-network-based energy-efficient routing algorithm is almost the same as the heuristic algorithm; however, its calculation time is reduced a lot, especially in a large number of flow scenarios; and it is more flexible to design and resolve the multi-objective optimization problem.

Energy Consumption Analysis on Office Building Ventilation

2012 ◽  
Vol 516-517 ◽  
pp. 1139-1143
Author(s):  
Ke Chun Sun ◽  
Wei Jun Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Air Conditioning ◽  
Room Temperature ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Energy Simulation ◽  
Office Building ◽  
Saving Effect ◽  
Night Ventilation

Chongqing weather conditions as the representative, energy simulation software DesT-c Chongqing office building energy simulation analysis, simulated natural building under different ventilation conditions at room temperature, the energy consumption of building cooling load and air-conditioning system changes, with an emphasis on energy-saving effect of the night ventilation; The study showed that in Chongqing reasonable use of ventilation reduce building natural room temperature to a certain extent; Sensitive indicators of building air conditioning energy consumption than the heating energy consumption of ventilation was significantly; Night ventilation when the number of ventilators is less than 5 times / h, the energy saving effect is very significant.

scholarly journals Outdoor Air-Cooling System for a Computer Room and Its Corresponding Energy-Saving Effect

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5719
Author(s):  
JiHyun Hwang ◽  
Taewon Lee
Keyword(s):  
Power Consumption ◽  
Energy Saving ◽  
Data Centers ◽  
Cooling System ◽  
Stable Operation ◽  
Air Cooling ◽  
Outdoor Air ◽  
Air Conditioners ◽  
Air Cooling System ◽  
Saving Effect

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.

scholarly journals Energy-Saving Virtual Machine Placement Method for User Experience in Cloud Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Shanchen Pang ◽  
Kexiang Xu ◽  
Shudong Wang ◽  
Min Wang ◽  
Shuyu Wang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Virtual Machine ◽  
User Experience ◽  
Ant Colony Algorithm ◽  
Data Centers ◽  
Virtual Machine Placement ◽  
Ant Colony ◽  
Local Optimum ◽  
Placement Method

Green computing focuses on the energy consumption to minimize costs and adverse environmental impacts in data centers. Improving the utilization of host computers is one of the main green cloud computing strategies to reduce energy consumption, but the high utilization of the host CPU can affect user experience, reduce the quality of service, and even lead to service-level agreement (SLA) violations. In addition, the ant colony algorithm performs well in finding suitable computing resources in unknown networks. In this paper, an energy-saving virtual machine placement method (UE-ACO) is proposed based on the improved ant colony algorithm to reduce the energy consumption and satisfy users’ experience, which achieves the balance between energy consumption and user experience in data centers. We improve the pheromone and heuristic factors of the traditional ant colony algorithm, which can guarantee that the improved algorithm can jump out of the local optimum and enter the global optimal, avoiding the premature maturity of the algorithm. Experimental results show that compared to the traditional ant colony algorithm, min-min algorithm, and round-robin algorithm, the proposed algorithm UE-ACO can save up to 20%, 24%, and 30% of energy consumption while satisfying user experience.

Analysis and Prediction of the Tertiary Industry in Beijing of China Based on System Dynamics Model

2014 ◽  
Vol 522-524 ◽  
pp. 117-121
Author(s):  
Li Yun Yang ◽  
Ying He
Keyword(s):  
Energy Consumption ◽  
System Dynamics ◽  
Energy Saving ◽  
Rapid Development ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Total Consumption ◽  
Tertiary Industry

The tertiary industry in Beijing has won rapid development. In 2010, GDP proportion of the tertiary industry has reached 75%, while the energy consumption of the tertiary industry accounted for 55.4% of the total consumption in Beijing. With the economy development of Beijing, the GDP proportion of the tertiary industry will increase further, thus, the energy saving of the tertiary industry is rather imperative. Based on the corresponding data of economy and energy consumption of Beijing from 2005 to 2010, in this study the system dynamics model was proposed to analyze and predict the energy consumption of the tertiary industry of Beijing in 2015.

On-Site Inspection and Analysis on Earth Architecture’s Enclosure Construction

2013 ◽  
Vol 357-360 ◽  
pp. 492-498
Author(s):  
Hong Yu ◽  
Hai Jun Sun
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Environmental Protection ◽  
Influential Factors ◽  
Earth Construction ◽  
The Earth ◽  
New Countryside ◽  
Actual Energy Consumption ◽  
Saving Effect ◽  
Good Heat

In order to assess the human settlements situation of earth construction and analyse Environmental protection and energy saving effect of the earth construction's enclosure-construction, we choose Jinan's earth construction--adobe houses--to conduct the detection and analysis of energy saving and were based on the factual date to calculate enclosure-construction's heat transfer coefficient K and the actual energy consumption to analyses the influential factors of the energy consumption and determine the main part of the energy saving effect of energy consumption based on the Extensive research of the ecological environment and earth construction in Shandong province. The results show that the typical enclosure-structure with good heat saving capacity can maintain the indoor thermal stability. Through the calculation of heat retaining structure, we can know that the tested adobe house's energy consumption is larger than normal house. it suggested that the earth construction has the characteristics of better energy saving and environmental protection. seeing that the factual tested adobe house's lower intensity , bad decoration and imperfection ,we put forward the suitable earth buildings scheme of the construction of new countryside.

Energy Consumption and Economic Analysis to Residential Building Meeting the Criterion of 65% Energy Saving in Zhangjiakou

2011 ◽  
Vol 225-226 ◽  
pp. 239-242 ◽  
Author(s):  
Hong Lei Ma ◽  
Jian Hui Niu
Keyword(s):  
Energy Consumption ◽  
Economic Analysis ◽  
Energy Saving ◽  
Residential Building ◽  
Building Energy ◽  
Simulation Software ◽  
Design Standard ◽  
Third Stage ◽  
Building Energy Saving ◽  
Saving Effect

An energy saving residential building in Zhangjiakou was took as research object, which was designed and constructed according to the criterion of 65% energy saving of the third stage, utilizing simulation software Dest, which was developed by Qinghua University, energy consumption simulation and economic analysis were done to the building. The results show that compared with the former residence which was built according to the non-energy saving design, the implementation of new design standard for building energy saving can not only achieve better energy saving effect, but also its payback period is short, so the new design standard for building energy saving is worth spreading.

scholarly journals Thermodynamic Features and Design of Solar-Air Source Composite Heating System

2020 ◽  
Vol 38 (4) ◽  
pp. 967-975
Author(s):  
Na Ni
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Heat Supply ◽  
Water Source ◽  
Heating System ◽  
Heating And Cooling ◽  
Cooling Devices ◽  
Good Energy ◽  
Saving Effect ◽  
Independent Heat

Facing the huge energy consumption of buildings, it is highly practical to study every aspect of energy-saving technologies for heating and cooling devices. Solar thermal technology and air/water source heat pump are two popular energy-saving technologies, which could be combined into a composite heating system with good energy-saving effect and efficiency. This paper constructs a solar-air source composite heating system, analyzes its thermodynamic features, and builds up the corresponding thermodynamic model. In addition, the authors modeled the daytime and nighttime heat balances, as well as the monthly cumulative heat supply for the constructed system. Finally, a dual-tank composite heating system was designed with independent heat supply/storage. The proposed models and system were proved valid and scientific through experiments.

scholarly journals Optimization and Simulation of a Reasonable Scheduling Model under Multiple Tasks in Company Management

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhuo Wang
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Optimal Solution ◽  
Solution Space ◽  
Corporate Management ◽  
Model Based ◽  
Scheduling Model ◽  
Optimization And Simulation ◽  
The Stability

With the rapid development of market economy, the task scheduling model has become the core problem in the field of corporate management. In order to solve the problem that the stability of the model will decline due to the interference of human factors in the process of multitask scheduling in the traditional algorithm, a reasonable scheduling model based on the priority principle is proposed in this paper. This paper expounds the principle of multitask scheduling in company management, constructs a multitask scheduling network model based on priority, performs virtual scheduling on the model, searches the optimal solution in the solution space of the scheduling problem, and obtains the reasonable multitask scheduling method in the company management. Through the analysis of relevant simulation experiments, it can be concluded that the task scheduling algorithm proposed in this paper can not only allocate the corresponding resources for high-priority tasks effectively, but also can save the cost, so as to show better execution efficiency.

Sign in / Sign up

Export Citation Format

Share Document