scholarly journals NetFPGA Based OpenFlow Switch Extension for Energy Saving in Data Centers

2013 ◽  
Vol 3 (1-2) ◽  
Author(s):  
Tran Hoang Vu ◽  
Tran Thanh ◽  
Vu Quang Trong ◽  
Pham Ngoc Nam ◽  
Nguyen Huu Thanh

The increasing demand for data centers in both scale and size has led to huge energy consumption. The cost and environmental impact of data centers increases due to large amounts of carbon emissions. One solution to this problem is to intelligently control the power consumption of switches used in data centers. This paper proposes an extension to OpenFlow switches to support different power saving modes. The extension includes defining new messages in the OpenFlow protocol stack and designing an OpenFlow Switch Controller (OSC) that is able to turn on/off switches and disable/enable ports. To prove the soundness of the proposed extension, the functions of an OSC has been integrated in a NetFPGA based OpenFlow switch used in the ECODANE framework. The results presented in this paper can also be used by the OpenFlow compliant switches manufacturer or by power aware research community.

2020 ◽  
Author(s):  
Felipe Przysiada† ◽  
Diego Merks ◽  
Eduardo Silva ◽  
Alessandro Brawerman

The cost of electricity in Brazilian homes is increasingly high. This project consists of bringing a complete and easily accessible solution aiming to benefit the economy, in a much broader way, both for the end user and for the electricity generating system, which today has difficulty in meeting demand, as well as it provides a reduction in the environmental impact caused by the constant expansion of hydroelectric plants and other sources of energy. The use of this system, the Electricity Consumption Monitoring System, allows the user to have control of each equipment installed in the premises. The equipment in monitored by a device designed and built in this project. From these monitoring devices, which perform periodic measurements, it is possible to make a daily, weekly or monthly survey of the consumption of each equipment in the residence, sending alert messages, for excessive energy consumption, thus defining a user profile and even creating limitations for monthly spending. With this, the user will have the necessary resources to manage their energy consumption over the days, without having surprises at the end of the month.


Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah

Cloud computing combines the advantages of several computing paradigms and introduces ubiquity in the provisioning of services such as software, platform, and infrastructure. Data centers, as the main hosts of cloud computing services, accommodate thousands of high performance servers and high capacity storage units. Offloading the local resources increases the energy consumption of the transport network and the data centers although it is advantageous in terms of energy consumption of the end hosts. This chapter presents a detailed survey of the existing mechanisms that aim at designing the Internet backbone with data centers and the objective of energy-efficient delivery of the cloud services. The survey is followed by a case study where Mixed Integer Linear Programming (MILP)-based provisioning models and heuristics are used to guarantee either minimum delayed or maximum power saving cloud services where high performance data centers are assumed to be located at the core nodes of an IP-over-WDM network. The chapter is concluded by summarizing the surveyed schemes with a taxonomy including the cons and pros. The summary is followed by a discussion focusing on the research challenges and opportunities.


Author(s):  
Federico Larumbe ◽  
Brunilde Sansò

This chapter addresses a set of optimization problems that arise in cloud computing regarding the location and resource allocation of the cloud computing entities: the data centers, servers, software components, and virtual machines. The first problem is the location of new data centers and the selection of current ones since those decisions have a major impact on the network efficiency, energy consumption, Capital Expenditures (CAPEX), Operational Expenditures (OPEX), and pollution. The chapter also addresses the Virtual Machine Placement Problem: which server should host which virtual machine. The number of servers used, the cost, and energy consumption depend strongly on those decisions. Network traffic between VMs and users, and between VMs themselves, is also an important factor in the Virtual Machine Placement Problem. The third problem presented in this chapter is the dynamic provisioning of VMs to clusters, or auto scaling, to minimize the cost and energy consumption while satisfying the Service Level Agreements (SLAs). This important feature of cloud computing requires predictive models that precisely anticipate workload dimensions. For each problem, the authors describe and analyze models that have been proposed in the literature and in the industry, explain advantages and disadvantages, and present challenging future research directions.


Author(s):  
Vishakha Nandanpawar

In view of current economic and industrial growth, the whole world is facing various Sustainability challenges like Climate change and Global warming, energy management, food security, poverty, water scarcity and many more. To address these issues properly, it is necessary to mainstream sustainability in every sector of operations and it is the responsibility of every industry and every individual to contribute towards various sustainability issues / challenges for achieving long term sustainability goals. Globally, the Information Technology (IT) sector has grown up in multiple folds in a short span of time with substantial contribution to global economy and business. Rapid growth of IT industry is positively contributing to higher growth of infrastructure development (commercial & residential) and employment generation. But, along with the contribution to economical, industrial and developmental aspects, IT sector is also contributing to increased energy and natural resources consumption, generation of electronic waste (E-Waste) and increased carbon emissions (due to energy consumption and increased business travel activities.) The rapid economic growth and changes in IT sector has made it necessary for the companies to update and monitor their own technological competence. This further leads to additional resource consumption and E-waste generation. With high business growth potential and rising demand, IT sector is going through various major sustainability issues and challenges including high energy consumption, waste management, carbon emissions and human resource management. To the many fold growth of IT sector in last decade, IT sector SME is also one of the major contributors and the sector is growing continuously. But due to many constrains, IT-SME sector focus is mainly on business development and economic growth to sustain in the highly competitive market by providing different value added, cost effective services and sustainable solution to the clients. Including effective use of cloud computing, which is considered as one of the energy efficient option for the services offered. If we consider the environmental impact for an SME in view of above challenges of IT sector, it is not significant. However, considering the huge number of SMEs operating globally, the cumulative impact is significant and cannot be ignored. The detailed paper will include analysis of the current scenario of overall IT sector including SMEs of India and Global, in view of their awareness about the sustainability issues, possible measures of improving sustainability contribution and the challenges faced by them for implementation of sustainability measures. Further the paper will also discuss about how the sector can embrace sustainability to reduce environmental impact by energy conservation, carbon footprint reduction along with a goal to achieve Profit Growth and Stakeholder welfare.


Author(s):  
Bhupesh Kumar Dewangan ◽  
Amit Agarwal ◽  
Venkatadri M. ◽  
Ashutosh Pasricha

Cloud computing is a platform where services are provided through the internet either free of cost or rent basis. Many cloud service providers (CSP) offer cloud services on the rental basis. Due to increasing demand for cloud services, the existing infrastructure needs to be scale. However, the scaling comes at the cost of heavy energy consumption due to the inclusion of a number of data centers, and servers. The extraneous power consumption affects the operating costs, which in turn, affects its users. In addition, CO2 emissions affect the environment as well. Moreover, inadequate allocation of resources like servers, data centers, and virtual machines increases operational costs. This may ultimately lead to customer distraction from the cloud service. In all, an optimal usage of the resources is required. This paper proposes to calculate different multi-objective functions to find the optimal solution for resource utilization and their allocation through an improved Antlion (ALO) algorithm. The proposed method simulated in cloudsim environments, and compute energy consumption for different workloads quantity and it increases the performance of different multi-objectives functions to maximize the resource utilization. It compared with existing frameworks and experiment results shows that the proposed framework performs utmost.


2020 ◽  
Vol 10 (1) ◽  
pp. 357 ◽  
Author(s):  
Mohammad Hajmohammadian Baghban ◽  
Reza Mahjoub

Low impact on the environment and low cost are the key drivers for today’s technology uptake. There are many concerns for cement production in terms of negative environmental impact due to greenhouse gas (GHG) emission, deficiency of raw materials, as well as high energy consumption. Replacement of the cement by appropriate additives known as supplementary cementitious materials (SCMs) could result in reduction in GHG emission. Limestone-calcined clay cement (LC3) is a promising binder in the concrete sector for its improvements to environmental impact, durability, and mechanical properties. On the other hand, the advantages of fiber-reinforced concrete such as improved ductility, versatility, and durability have resulted in increasing demand for this type of concrete and introduction of new standards for considering the mechanical properties of fibers in structural design. Thus, using natural fibers instead of synthetic fibers can be another step toward the sustainability of the concrete industry, which is facing increasing demand for cement-based materials. This review studies the potential of natural Kenaf fiber-reinforced concrete containing LC3 binder as a step toward green cementitious composite. While studies show that energy consumption and GHG emission can be reduced and there is a significant potential to enhance mechanical and durability properties of concrete using this composition, adjustment of the mix design, assessing the long-term performance and standardization, are the next steps for the use of the material in practice.


Author(s):  
Sareh Fotuhi Piraghaj ◽  
Amir Vahid Dastjerdi ◽  
Rodrigo N. Calheiros ◽  
Rajkumar Buyya

The numerous advantages of cloud computing environments, including scalability, high availability, and cost effectiveness have encouraged service providers to adopt the available cloud models to offer solutions. This rise in cloud adoption, in return encourages platform providers to increase the underlying capacity of their data centers so that they can accommodate the increasing demand of new customers. Increasing the capacity and building large-scale data centers has caused a drastic growth in energy consumption of cloud environments. The energy consumption not only affects the Total Cost of Ownership but also increases the environmental footprint of data centers as CO2 emissions increases. Hence, energy and power efficiency of the data centers has become an important research area in distributed systems. In order to identify the challenges in this domain, this chapter surveys and classifies the energy efficient resource management techniques specifically focused on the PaaS cloud service models.


2021 ◽  
Vol 13 (9) ◽  
pp. 4856
Author(s):  
Xuejie Deng ◽  
Yu Li ◽  
Hao Liu ◽  
Yile Zhao ◽  
Yinchao Yang ◽  
...  

Microbial induced carbonate precipitation (MICP) is a new geotechnical engineering technology used to strengthen soils and other materials. Although it is considered to be environmentally friendly, there is a lack of quantitative data and objective evaluation to support conclusions about its environmental impact. In this paper, the energy consumption and carbon emissions of MICP technology are quantitatively analyzed by using the life cycle assessment (LCA) method. The environmental effects of MICP technology are evaluated from the perspectives of resource consumption and environmental impact. The results show that for each tonne of calcium carbonate produced by MICP technology, 1.8 t standard coal is consumed and 3.4 t CO2 is produced, among which 80.4% of the carbon emissions and 96% of the energy consumption come from raw materials. Comparing using MICP with cement, lime, and sintered brick, the current MICP application process consumes less non-renewable resources but has a greater environmental impact. The major environmental impact that MICP has is the production of smoke and ash, with secondary impacts being global warming, photochemical ozone creation, acidification, and eutrophication. In five potential application scenarios of MICP, including concrete, sintered brick, lime mortar, mine cemented backfill, and foundation reinforcement, the carbon emissions of MICP are 3 to 7 times greater than the emissions of traditional technologies. The energy consumption is 15 to 23 times. Based on the energy consumption and carbon emissions characteristics of MICP technology at the current condition, suggestions are given for the future research of MICP.


2020 ◽  
Vol 82 (3) ◽  
Author(s):  
Sergio Mora Martinez ◽  
Jhon Edwin Vera ◽  
Jonathan Avendano Perez ◽  
Lizet Camila Salgado

Data centers are constantly growing and evolving in number and complexity due to increasing demand for Internet-based services. As a result, energy consumption in data centers has increased significantly in recent years, which has become a critical concern for IT enterprises and governments because of high operational costs and negative environmental impact. Therefore, green solutions are needed to integrate the use of renewable energy with the development of reduction strategies in energy consumption. In this study, we investigated the performance of a system that can simulate a data center constrained by service-level agreements, energy consumption, power generation, and non-exponentially distributed service times. A discrete event simulation, an optimization model, and a forecasting method were integrated into the system's architecture to analyze performance when facing different scenarios with several changes in the system's characteristics. We conducted a survey on energy trading, considering that renewable energy generators were incorporated into the algorithm to determine the interaction between data centers and smart grids. The experimental results demonstrate that the proposed system has great potential in improving energy efficiency under different operating conditions in the data centers.


Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2386
Author(s):  
Rubén Navarro ◽  
Adoración Carratalá ◽  
José Luis Sánchez Lizaso

To reduce the environmental impact of desalination plants, a good dilution of the brine is needed. Brine dilution may be carried out using diffusers, by mixing the concentrate with other effluents, or with seawater bypassing. Seawater bypassing increases the energy consumption of the plant but, thus far, this energy consumption has not been estimated. The environmental impact statement (EIS) of desalination plants in Alicante establishes a system of seawater bypassing for diluting brine and protecting the Posidonia oceanica seagrass meadows. The aim of this paper is to quantify the energy consumption of brine dilution, which was necessary for meeting the environmental requirements from 2012 to 2018. During the research period, the plants’ operation was variable, as it depended on the supply needs. The results indicate that the energy consumption of the dilution systems fluctuated between 2,135,315 kWh in 2012 and 685,988 kWh in 2013, with an average consumption of 1,205,952 kWh for the selected period. The energy cost in 2012 was EUR 179,556, while that for 2013 was EUR 60,787, with an average annual cost of EUR 91,690. This interannual variability is due to the difference in the production values of the plants and in the dilution ratio, which oscillated between 2.5 and 7.5 seawater:brine. In addition, the dilution showed an additional cost of the energy consumed by the desalination plants of around 1.7% on average. However, it also allowed the fulfillment of the established requirements in the EIS and the protection of the Posidonia oceanica seagrass from the discharge of the desalination plants.


Sign in / Sign up

Export Citation Format

Share Document