This document summarizes a study on green cloud computing. It defines green computing and cloud computing, noting that green cloud computing aims to minimize energy consumption through cloud infrastructure. It outlines different cloud service models and analyzes their energy usage. The document also summarizes a Microsoft study finding cloud can reduce energy usage by 30-60% compared to on-premise systems, but a Greenpeace study argues cloud could increase energy demands significantly if usage grows rapidly. In conclusion, cloud services can be more efficient than local systems depending on usage levels and transport energy costs.
The document discusses green computing, which aims to reduce the environmental impact of computers and data centers. It outlines various approaches like virtualization, power management, recycling, and telecommuting. These can improve energy efficiency and reduce costs. The document also discusses implementing green computing through server consolidation, replacing CRT monitors, and keeping equipment longer to reduce waste. Future trends may include more efficient and recyclable computer components to further minimize environmental impact.
This document discusses green cloud computing from the perspective of data centers. It begins with background on green computing and cloud computing. It then discusses how green cloud computing can help balance energy usage in data centers through server virtualization, energy-aware consolidation, and locating data centers in developing regions. The document presents two case studies, one on a green data center in Senegal and another on benefits realized by a cell phone company in South Africa from implementing a private cloud. It concludes with sections on the Indian scenario for green IT standardization and a call to continue research efforts to maximize efficiency of green data centers.
This document discusses a Green IT project that aims to implement environmentally friendly practices in data centers and for end-user computing. Some key points covered include:
- Green IT refers to making IT organizations more environmentally sustainable through practices like improving energy efficiency.
- Drivers for Green IT include rising energy costs, concerns about global warming, and increased legislation around emissions and toxic materials.
- Potential areas for green practices are data centers and end-user devices/computing. Issues in data centers include high energy use for servers and cooling.
- Associated green practices could include improving cooling methods, virtualizing servers, altering purchasing, and proper disposal/recycling. Benefits include reduced costs and emissions
This presentation discusses green computing, which refers to environmentally sustainable and efficient computing practices. The objectives of green computing are to minimize energy consumption, purchase green energy, reduce paper/consumable use, and minimize equipment disposal requirements. Computing harms the environment through increased energy/cooling needs for data centers and the hazardous materials in devices. Green computing aims to address this through green use, green disposal, green design, and green manufacturing. Benefits include reduced energy consumption and waste, while drawbacks include potential costs and performance sacrifices. Major organizations promoting green computing are The Green Grid and the EPA's Energy Star program.
This presentation brings insights on cloud and green cloud computing and briefs the readers with its potential in india and how it can be achieved. Numerous insights have been collectively put in into this presentation.
This document summarizes a study on green cloud computing. It defines green computing and cloud computing, noting that green cloud computing aims to minimize energy consumption through cloud infrastructure. It outlines different cloud service models and analyzes their energy usage. The document also summarizes a Microsoft study finding cloud can reduce energy usage by 30-60% compared to on-premise systems, but a Greenpeace study argues cloud could increase energy demands significantly if usage grows rapidly. In conclusion, cloud services can be more efficient than local systems depending on usage levels and transport energy costs.
The document discusses green computing, which aims to reduce the environmental impact of computers and data centers. It outlines various approaches like virtualization, power management, recycling, and telecommuting. These can improve energy efficiency and reduce costs. The document also discusses implementing green computing through server consolidation, replacing CRT monitors, and keeping equipment longer to reduce waste. Future trends may include more efficient and recyclable computer components to further minimize environmental impact.
This document discusses green cloud computing from the perspective of data centers. It begins with background on green computing and cloud computing. It then discusses how green cloud computing can help balance energy usage in data centers through server virtualization, energy-aware consolidation, and locating data centers in developing regions. The document presents two case studies, one on a green data center in Senegal and another on benefits realized by a cell phone company in South Africa from implementing a private cloud. It concludes with sections on the Indian scenario for green IT standardization and a call to continue research efforts to maximize efficiency of green data centers.
This document discusses a Green IT project that aims to implement environmentally friendly practices in data centers and for end-user computing. Some key points covered include:
- Green IT refers to making IT organizations more environmentally sustainable through practices like improving energy efficiency.
- Drivers for Green IT include rising energy costs, concerns about global warming, and increased legislation around emissions and toxic materials.
- Potential areas for green practices are data centers and end-user devices/computing. Issues in data centers include high energy use for servers and cooling.
- Associated green practices could include improving cooling methods, virtualizing servers, altering purchasing, and proper disposal/recycling. Benefits include reduced costs and emissions
This presentation discusses green computing, which refers to environmentally sustainable and efficient computing practices. The objectives of green computing are to minimize energy consumption, purchase green energy, reduce paper/consumable use, and minimize equipment disposal requirements. Computing harms the environment through increased energy/cooling needs for data centers and the hazardous materials in devices. Green computing aims to address this through green use, green disposal, green design, and green manufacturing. Benefits include reduced energy consumption and waste, while drawbacks include potential costs and performance sacrifices. Major organizations promoting green computing are The Green Grid and the EPA's Energy Star program.
This presentation brings insights on cloud and green cloud computing and briefs the readers with its potential in india and how it can be achieved. Numerous insights have been collectively put in into this presentation.
This document discusses green cloud computing and data centers. It provides an overview of green computing principles like efficiency and virtualization. Cloud computing is described as a virtualized and scalable computing platform. Green cloud computing from a data center perspective involves diagnosing issues, measuring energy usage, server virtualization, and building efficiently. Case studies from Senegal, South Africa, and India show how green data center approaches and private clouds can reduce energy costs and increase efficiency. The document advocates for more research on maximizing green data center efficiency to benefit developing regions.
This presentation discusses green computing and how to implement it. Green computing aims to reduce the environmental impact of computers and associated hardware. It encourages energy efficient use, less hazardous materials, and better recycling. Some strategies discussed are using virtualization to reduce server numbers, downloading software instead of physical copies, replacing paper with online systems, using more efficient LCD displays, optimizing algorithms, and virtualizing desktops. Adopting green computing can provide cost savings and business benefits while helping the environment.
Green computing aims to reduce the environmental impact of computing through efficient use of resources and proper disposal of equipment. It involves designing and using computers, servers, and associated subsystems efficiently and effectively with minimal impact on the environment, by reducing power consumption, hazardous materials and waste. The goals are to maximize energy efficiency during a product's lifetime and promote recyclability or biodegradability of obsolete products and waste.
On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.
1. The document lists the top 10 Green IT initiatives that many companies are adopting to save money and help the environment. These initiatives include improving data center cooling methods, consolidating servers using virtualization, adopting alternative storage methods, and exploring alternative energy sources for data centers.
2. Other initiatives discussed are reconfiguring data center floor layouts, using thin clients, consolidating printers via output management, employing print suppression techniques, ensuring proper asset usage and power management, and properly disposing of and recycling old equipment.
Green Computing refers to environmentally sustainable computing practices that minimize environmental impact. Computing harms the environment through high energy use in data centers and devices, as well as hazardous materials in electronics. Approaches to green computing include virtualization, power management, efficient storage and displays, recycling, and reducing travel. Simple individual tasks include using energy efficient devices, enabling power management settings, and recycling electronics. Companies have implemented green computing through products like low-power thin clients and initiatives to offset carbon emissions and recycle equipment.
Green computing involves the environmentally sustainable and efficient use of computing resources. It includes designing and manufacturing computers with non-toxic, recyclable materials and maximizing energy efficiency during use and disposal. Adopting practices like turning off computers when not in use, using power saving modes, recycling electronics, and replacing toxic components can help reduce pollution and waste while still enabling computing. The overall goal of green computing is to reduce the environmental impact of computing through its entire lifecycle from creation to disposal.
Green computing aims to reduce the environmental impact of computers and IT usage. It focuses on making computing more environmentally friendly through green use, green technology, reducing energy consumption, and proper disposal of e-waste. While green computing provides benefits like lower costs and emissions, challenges remain in fully implementing green practices across the industry and in our daily computing habits.
This document defines green computing and discusses its importance. Green computing aims to reduce the environmental impact of computing through more efficient use of resources and responsible disposal of electronic waste. It involves strategies like power management, using energy efficient hardware, recycling electronics, and reducing paper usage. While green computing requires initial costs, it provides long term benefits like financial savings, energy efficiency and environmental protection. The document emphasizes that adopting green computing practices is important for a sustainable future.
Green Computing: A Methodology of Saving Energy by Resource Virtualization.IJCERT
This document discusses green computing and methods for saving energy through resource virtualization. It begins with an abstract that introduces green computing and its goal of reducing energy consumption and environmental impact. The introduction provides more details on cloud computing and how green computing aims to make data center services more energy efficient. The document then discusses various energy saving approaches of green computing like virtualization, cloud computing, and N-computing systems. It also discusses challenges and the future of green computing, concluding that more energy can be saved through continued development and use of virtualization and other green computing methodologies.
This document discusses green cloud computing and data centers from an energy efficiency perspective. It begins with basics of green computing and cloud computing concepts. It then discusses green cloud computing in the context of data centers, describing steps to make data centers more energy efficient through server virtualization, energy-aware workload consolidation, and using more efficient cooling methods. Case studies from Senegal, South Africa, and India are presented showing how green cloud computing approaches have helped reduce energy use and costs for organizations in developing areas. Key metrics like PUE (power usage effectiveness) for measuring data center efficiency are also covered.
This document discusses green computing, which refers to environmentally sound principles of computing. Green computing aims to reduce pollution, conserve energy, and minimize electronic waste. It has a history dating back to the EPA's Energy Star program in the 1990s and has grown to include initiatives like the Kyoto Protocol, WEEE Directive, and EPEAT. Approaches to green computing include green use, disposal, design, and manufacturing. Methods mentioned include virtualization, power management settings, and recycling printer cartridges. The benefits are listed as energy savings, cost savings, and tax incentives, while barriers include high startup costs and limited availability.
This document discusses green cloud computing. It begins by defining green computing and cloud computing individually. Green computing aims to reduce power consumption and environmental impact of IT, while cloud computing involves virtualized and interconnected computers. Green cloud computing combines these concepts by making cloud infrastructure and operations more energy efficient. The document then covers benefits like reduced energy use, the role of dynamic provisioning and multi-tenancy in cloud enabling green computing, and a case study on a green cloud architecture and scheduling policies that can reduce carbon emissions by 20%.
Green computing is the environmentally responsible and eco-friendly use of computers and their resources. In broader terms, it is also defined as the study of designing, engineering, manufacturing, using and disposing of computing devices in a way that reduces their environmental impact.
Many IT manufacturers and vendors are continuously investing in designing energy-efficient computing devices, reducing the use of dangerous materials and encouraging the recyclability of digital devices. Green computing practices came into prominence in 1992, when the Environmental Protection Agency (EPA) launched the Energy Star program.
Cloud computing has the potential to improve energy efficiency through server consolidation and switching off unused servers, however, increasing internet traffic and data storage demands driven by cloud services could negate these savings; while Microsoft claims its cloud solutions reduce energy use by 30-90% compared to on-premise installations, Greenpeace argues collective cloud demand will increase CO2 emissions even with efficient data centers. The presentation analyzes the environmental sustainability of cloud computing by exploring technologies and mechanisms that support this goal as well as studies with differing views on cloud computing's impact.
Presentation Joost Visser / SIG - what can be green about software- Workshop ...Jaak Vlasveld
Green IT Amsterdam Region and the Software Improvement Group (SIG) organized the first workshop of the Green Software Community, with as theme 'Green Software Architecture'. For more information, please visit www.greenitamsterdam.nl/greensoftwarecommunity/
This is a presentation by Joost Visser / SIG on what can be green about software
This document discusses green cloud computing and data centers. It provides an overview of green computing principles like efficiency and virtualization. Cloud computing is described as a virtualized and scalable computing platform. Green cloud computing from a data center perspective involves diagnosing issues, measuring energy usage, server virtualization, and building efficiently. Case studies from Senegal, South Africa, and India show how green data center approaches and private clouds can reduce energy costs and increase efficiency. The document advocates for more research on maximizing green data center efficiency to benefit developing regions.
This presentation discusses green computing and how to implement it. Green computing aims to reduce the environmental impact of computers and associated hardware. It encourages energy efficient use, less hazardous materials, and better recycling. Some strategies discussed are using virtualization to reduce server numbers, downloading software instead of physical copies, replacing paper with online systems, using more efficient LCD displays, optimizing algorithms, and virtualizing desktops. Adopting green computing can provide cost savings and business benefits while helping the environment.
Green computing aims to reduce the environmental impact of computing through efficient use of resources and proper disposal of equipment. It involves designing and using computers, servers, and associated subsystems efficiently and effectively with minimal impact on the environment, by reducing power consumption, hazardous materials and waste. The goals are to maximize energy efficiency during a product's lifetime and promote recyclability or biodegradability of obsolete products and waste.
On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.
1. The document lists the top 10 Green IT initiatives that many companies are adopting to save money and help the environment. These initiatives include improving data center cooling methods, consolidating servers using virtualization, adopting alternative storage methods, and exploring alternative energy sources for data centers.
2. Other initiatives discussed are reconfiguring data center floor layouts, using thin clients, consolidating printers via output management, employing print suppression techniques, ensuring proper asset usage and power management, and properly disposing of and recycling old equipment.
Green Computing refers to environmentally sustainable computing practices that minimize environmental impact. Computing harms the environment through high energy use in data centers and devices, as well as hazardous materials in electronics. Approaches to green computing include virtualization, power management, efficient storage and displays, recycling, and reducing travel. Simple individual tasks include using energy efficient devices, enabling power management settings, and recycling electronics. Companies have implemented green computing through products like low-power thin clients and initiatives to offset carbon emissions and recycle equipment.
Green computing involves the environmentally sustainable and efficient use of computing resources. It includes designing and manufacturing computers with non-toxic, recyclable materials and maximizing energy efficiency during use and disposal. Adopting practices like turning off computers when not in use, using power saving modes, recycling electronics, and replacing toxic components can help reduce pollution and waste while still enabling computing. The overall goal of green computing is to reduce the environmental impact of computing through its entire lifecycle from creation to disposal.
Green computing aims to reduce the environmental impact of computers and IT usage. It focuses on making computing more environmentally friendly through green use, green technology, reducing energy consumption, and proper disposal of e-waste. While green computing provides benefits like lower costs and emissions, challenges remain in fully implementing green practices across the industry and in our daily computing habits.
This document defines green computing and discusses its importance. Green computing aims to reduce the environmental impact of computing through more efficient use of resources and responsible disposal of electronic waste. It involves strategies like power management, using energy efficient hardware, recycling electronics, and reducing paper usage. While green computing requires initial costs, it provides long term benefits like financial savings, energy efficiency and environmental protection. The document emphasizes that adopting green computing practices is important for a sustainable future.
Green Computing: A Methodology of Saving Energy by Resource Virtualization.IJCERT
This document discusses green computing and methods for saving energy through resource virtualization. It begins with an abstract that introduces green computing and its goal of reducing energy consumption and environmental impact. The introduction provides more details on cloud computing and how green computing aims to make data center services more energy efficient. The document then discusses various energy saving approaches of green computing like virtualization, cloud computing, and N-computing systems. It also discusses challenges and the future of green computing, concluding that more energy can be saved through continued development and use of virtualization and other green computing methodologies.
This document discusses green cloud computing and data centers from an energy efficiency perspective. It begins with basics of green computing and cloud computing concepts. It then discusses green cloud computing in the context of data centers, describing steps to make data centers more energy efficient through server virtualization, energy-aware workload consolidation, and using more efficient cooling methods. Case studies from Senegal, South Africa, and India are presented showing how green cloud computing approaches have helped reduce energy use and costs for organizations in developing areas. Key metrics like PUE (power usage effectiveness) for measuring data center efficiency are also covered.
This document discusses green computing, which refers to environmentally sound principles of computing. Green computing aims to reduce pollution, conserve energy, and minimize electronic waste. It has a history dating back to the EPA's Energy Star program in the 1990s and has grown to include initiatives like the Kyoto Protocol, WEEE Directive, and EPEAT. Approaches to green computing include green use, disposal, design, and manufacturing. Methods mentioned include virtualization, power management settings, and recycling printer cartridges. The benefits are listed as energy savings, cost savings, and tax incentives, while barriers include high startup costs and limited availability.
This document discusses green cloud computing. It begins by defining green computing and cloud computing individually. Green computing aims to reduce power consumption and environmental impact of IT, while cloud computing involves virtualized and interconnected computers. Green cloud computing combines these concepts by making cloud infrastructure and operations more energy efficient. The document then covers benefits like reduced energy use, the role of dynamic provisioning and multi-tenancy in cloud enabling green computing, and a case study on a green cloud architecture and scheduling policies that can reduce carbon emissions by 20%.
Green computing is the environmentally responsible and eco-friendly use of computers and their resources. In broader terms, it is also defined as the study of designing, engineering, manufacturing, using and disposing of computing devices in a way that reduces their environmental impact.
Many IT manufacturers and vendors are continuously investing in designing energy-efficient computing devices, reducing the use of dangerous materials and encouraging the recyclability of digital devices. Green computing practices came into prominence in 1992, when the Environmental Protection Agency (EPA) launched the Energy Star program.
Cloud computing has the potential to improve energy efficiency through server consolidation and switching off unused servers, however, increasing internet traffic and data storage demands driven by cloud services could negate these savings; while Microsoft claims its cloud solutions reduce energy use by 30-90% compared to on-premise installations, Greenpeace argues collective cloud demand will increase CO2 emissions even with efficient data centers. The presentation analyzes the environmental sustainability of cloud computing by exploring technologies and mechanisms that support this goal as well as studies with differing views on cloud computing's impact.
Presentation Joost Visser / SIG - what can be green about software- Workshop ...Jaak Vlasveld
Green IT Amsterdam Region and the Software Improvement Group (SIG) organized the first workshop of the Green Software Community, with as theme 'Green Software Architecture'. For more information, please visit www.greenitamsterdam.nl/greensoftwarecommunity/
This is a presentation by Joost Visser / SIG on what can be green about software
This document outlines the current and future language programming at Richard Green Central Community School. It discusses moving from the current English immersion and developmental dual language (DDL) programs to a new dual language program beginning in 2014-2015. The dual language program will provide native English and Spanish speakers equal access to become bilingual and biliterate. The transition will require research, staff professional development, consideration of student mobility and equity, and planning to ensure support of the programs through high school.
Java and effective programming. Is it possible? - IAESTE Case Week 2016Łukasz Koniecki
Probably most of use read book "Effective Java" by Joshua Blooch. But what "effective" programming really means? We will go through some real-life problems and talk about possible, effective solutions.
European Green IT Webinar 2014 - Green Code Lab (France)GreenLabCenter
This document discusses eco-friendly software design and the Green Code Lab initiative. It notes that information and communication technologies are responsible for 2% of global CO2 emissions and outlines Green Code Lab's mission to promote good programming practices to reduce social and environmental impacts through avoiding obsolescence, reducing consumption, and limiting exclusions. The Green Code Lab hosts challenges for students and professionals to eco-design web applications and organizes conferences to promote sustainable software practices.
The document describes the Green Software Lab, a research group focused on analyzing, visualizing, and optimizing software to reduce its environmental impact. The lab's research areas include making mobile apps, databases, and source code more energy efficient. The group is composed of researchers from various Portuguese universities and research centers.
The document introduces the Buffalo Green Code project which aims to create a new land use plan and zoning code for Buffalo, New York. The current zoning code from 1951 no longer matches the city's vision. The Green Code project will develop a land use plan that promotes smart growth, sustainability, and building on the city's assets according to its comprehensive plan. It will also create a new zoning code with equitable, predictable and efficient rules to implement the land use plan and shape development over coming decades. Citizens are invited to provide input to help create codes that reflect Buffalo's diverse neighborhoods, economies and cultures.
The document discusses approaches to system design for eco-efficiency. It describes three main approaches: 1) satisfaction-system, which designs all products and services associated with fulfilling a customer demand or satisfaction; 2) stakeholder interactions, which focuses on innovative partnerships between socio-economic stakeholders; and 3) sustainability-oriented systems, which designs the system to optimize criteria like the life of products, reduction of transportation, resources, waste, and toxins. It provides methods and tools to guide system design towards more eco-efficient solutions through analyzing stakeholders and contexts and generating sustainability-oriented ideas.
1) The document provides information about the Green Code Lab Challenge 2015, including important dates and deadlines, an overview of the challenge topics and goals, and details about the evaluation criteria and infrastructure provided.
2) Participants will develop an application to efficiently collect and transmit IoT sensor data from a Raspberry Pi to a server, and their solutions will be evaluated based on power efficiency, network use, best practices sharing, and justification of coding choices.
3) The challenge will run continuously for 48 hours, with solutions evaluated every 15 minutes on the criteria and teams ranked on a 1000 point scale, and failure to meet requirements like providing code by the deadline could result in elimination.
El documento cuenta regresivamente de 10 a 0 botellas verdes, mostrando cada número de botellas en una línea separada con la frase "TEN GREEN BOTTLES" debajo.
Towards Software Sustainability AssessmentPatricia Lago
The document discusses software sustainability assessment and introduces the SoSA method. It provides background on the researchers and their work in green software engineering. The document outlines two types of sustainability impacts software can have - directly through energy efficiency, and indirectly by supporting sustainable processes or influencing positive behavioral changes. It introduces a framework for software sustainability assessment that considers four dimensions: economic, social, environmental, and technical.
Slides of the inaugural speech of Patricia Lago as full professor at the VU University Amsterdam. You can find the accompanying text at: http://dare.ubvu.vu.nl/handle/1871/53978
Persuasive technology aims to shape, reinforce, or change behaviors, feelings or thoughts through various persuasive strategies and computer technologies. Social psychologists have studied how attitude and behavior change occurs. Computer games can implement persuasive approaches to create engaging experiences. Persuasive technologies can take the form of computers as tools that guide users or computers as social actors that users interact with. Game-based learning is an example of a persuasive technology that can immerse and engage users. Serious games use simulations to educate and influence users.
How Green are Java Best Coding Practices? - GreenDays @ Rennes - 2014-07-01Jérôme Rocheteau
This work investigates if best coding practices in Java can stand for eco-design rules as they deal with software performance. It focuses on how validating such an hypothesis for consumed energy, spent execution time and peak allocated memory. It leads to this silent feedback: no need to carry on many measures.
This document discusses the environmental impact of information and communication technologies (ICT) and e-waste. It notes that while the ICT sector accounts for about 2% of global carbon emissions, e-waste is growing rapidly at 20-50 million tons per year. Reusing old computers through thin client solutions and virtualization can help reduce e-waste by extending the lifespan of hardware. The document also recommends strategies like avoiding planned obsolescence in software and developing applications simply to reduce the environmental footprint of ICT.
This document discusses the environmental impacts of information and communication technologies (ICT). It notes that ICT has both first order effects through infrastructure/equipment usage and production, as well as second and third order effects through enabling other industries and behaviors. Specifically, it outlines how ICT contributes to resource consumption, energy usage, and electronic waste generation. It then provides statistics on the carbon footprint and energy consumption of data centers, servers, and individual devices. The document recommends ways to green ICT through more efficient software, virtualization, reuse of hardware, and open source solutions. Overall, it analyzes the sustainability challenges posed by rising ICT usage and outlines approaches to mitigate environmental impacts across the technology's lifecycle.
The Green Lab - [02 A] The experimental processIvano Malavolta
This presentation is about a lecture I gave within the "Green Lab" course of the Computer Science master, Software Engineering and Green IT track of the Vrije Universiteit Amsterdam: http://masters.vu.nl/en/programmes/computer-science-software-engineering-green-it/index.aspx
http://www.ivanomalavolta.com
The next hope of future is a green computingahmad satar
Green IT (Information Technology) or Green Technology refers to the durable computing of the environment which means eco-friendly use of computers, and it’s related resources.
Green computing aims to reduce the environmental impact of computing through efficient use of resources and proper disposal of equipment. It involves designing and using equipment in ways that minimize power, reduce waste, and promote recyclability. Some approaches to green computing include using energy efficient hardware, implementing power management software, and choosing renewable energy sources. The goals are to reduce hazardous materials, maximize efficiency, and promote sustainable product lifecycles. Benefits include energy savings, cost reductions, and environmental protection.
The document discusses green IT, which aims to minimize the negative environmental impacts of IT and use IT to address environmental issues. It describes green IT concepts like reducing waste, improving energy efficiency through practices like power management, and green IT purchasing. Various practical applications are outlined, such as product longevity, virtualization, and data center optimization. The advantages of green IT include reducing carbon emissions and energy costs, increasing data center cooling efficiency, and reducing server space needs through virtualization.
1) Fujitsu Siemens Computers has a long history of focusing on green IT and environmental sustainability, with initiatives dating back 20 years.
2) They offer a complete range of environmentally friendly products, solutions, and services that can significantly reduce energy consumption and carbon emissions.
3) Their approach focuses on reducing environmental impact and costs throughout the entire product lifecycle from development to recycling.
Green computing aims to reduce the environmental impact of computing through more efficient use of computing resources and environmentally friendly design and disposal of computer technologies. It seeks to minimize energy consumption and promote renewable energy sources, reduce paper usage, and ensure easy recycling of electronic equipment. The goals of green computing are to reduce hazardous materials usage, maximize energy efficiency over the lifetime of products, and promote recyclability. Recent implementations of green computing principles include search engines like Blackle that reduce energy usage and very low power computers like the Zonbu and Fit PC. The future of green computing is expected to see more eco-friendly components and emphasis on energy savings across enterprises.
Green computing involves practicing environmentally responsible use of computing resources through approaches like improved energy efficiency, virtualization, power management, and recycling electronics. It aims to reduce the environmental impacts of computing through the entire lifecycle from green use and disposal to green design and manufacturing. Major initiatives to promote green computing include Energy Star, which sets efficiency standards, and industry groups that offer certification programs and recycling services.
Green IT at University of Bahrain aims to reduce energy consumption and carbon dioxide emissions from information and communication technology (ICT) usage. It identifies several green IT initiatives including equipment recycling, server consolidation and virtualization, print optimization, rightsizing IT equipment, and green considerations in procurement. Going green in the data center involves reducing overall power consumption, maximizing power utilization, reducing hardware needs through consolidation, and decreasing storage requirements. The top drivers for adopting green technology are reducing power consumption and costs. Strategies like energy efficiency technologies, power/cooling solutions, systems virtualization, and data center consolidation can help green the IT department.
This document discusses green computing, which refers to using computing resources efficiently and with minimal environmental impact. It aims to minimize energy consumption, use renewable energy, reduce paper waste, and properly dispose of equipment. Going green can help address climate change, save costs through reduced energy bills, and ensure reliable access to power. The document outlines the history and goals of green computing, as well as pathways like green use, disposal, design, and manufacturing. Recent implementations and the future of green computing focus on more efficient and sustainable technologies and components.
It is the environmentally responsible and eco-friendly use of computer and their resources.
In broader terms, it is also defined as the study of
1- Green disposal
2- Green design
3- Green use
4- Green manufacture
The document discusses the next wave of green IT and making data centers more energy efficient. It notes that data center energy costs are significant and that McKinsey predicts data centers will produce more greenhouse gases than airlines by 2020. It provides best practices for building sustainable green data centers, including exploiting virtualization, improving server utilization rates, and designing efficient cooling systems.
This document discusses green computing in India. It defines green computing as green use, disposal, design, and manufacturing of computers. It notes that computing is often wasteful in terms of energy use and printing. It also causes pollution from manufacturing and toxicity from chemicals. Recent trends include government initiatives in Europe, Japan, and some US states promoting recycling. Companies are also working to become carbon neutral. The document surveys awareness, problems, and barriers to green computing in India in education and workplaces. It concludes the key steps are using efficient power management and forming green planning committees.
The document discusses green IT and how organizations can reduce their carbon footprint through various IT practices. It outlines that ICT accounts for about 2% of global CO2 emissions and describes strategies like virtualization, data center consolidation, power management of devices, and recycling/reusing equipment to cut energy use and emissions. The future may bring more legislation around IT sustainability as well as more energy-efficient technologies and dynamic power management across the IT infrastructure.
Green computing, also known as green IT, refers to environmentally sustainable computing practices that can help conserve energy, reduce pollution, and lessen the environmental impact of computing. Some key tactics for green computing include using power management settings, purchasing energy efficient hardware, replacing paper systems with online communication, and properly disposing of or recycling electronics through reuse, refurbishment, or formal e-waste recycling programs. While green computing may require initial investments, it provides long term cost savings through reduced energy usage and aligns with environmental stewardship.
Green computing involves environmentally responsible and eco-friendly use of computers and resources. It aims to reduce the environmental impact of computing through more efficient use of resources, less waste, and more sustainable manufacturing and disposal methods. Some key tactics include using power management, LCD monitors, recycling electronics, and designing energy efficient hardware. While green computing has upfront costs, it can save money over time through reduced energy usage and create goodwill through environmental protection. Adopting green computing strategies makes commercial and ethical sense to create a more sustainable environment.
Green ICT refers to environmentally sustainable computing practices around the design, manufacture, and disposal of computers and servers. It aims to reduce the energy usage and environmental footprint of IT equipment and data centers. Green ICT involves initiatives to design efficient hardware, use resources conservatively, and properly dispose of or recycle outdated electronics in an eco-friendly manner. The goal is to cut energy consumption, carbon emissions, waste production, and other environmental impacts while improving processes and saving costs.
Green computing refers to environmentally sustainable computing practices that can minimize negative impacts of computing. The goals are to reduce hazardous materials usage, maximize energy efficiency during product lifetime, and promote recyclability. Approaches include virtualization to consolidate systems, more efficient power supplies, power management features, smaller and solid state storage, and recycling electronics rather than sending to landfills.
Green computing aims to design, build, and operate computer systems to be more energy efficient while also improving economic viability and system performance. It seeks to reduce the negative environmental impact of computing devices through their entire lifecycles from production to disposal. Current trends in green computing include efforts to reduce e-waste, increase energy efficiency in data centers and devices, optimize data center resources through consolidation and virtualization, promote eco-labeling of green IT products, and leverage the energy efficiency of cloud computing and terminal servers.
The document summarizes Oracle's commitments and initiatives related to environmental sustainability. It discusses Oracle's participation in programs like the EPA Climate Leaders program and its conservation efforts. It then outlines Oracle's philosophy of reducing, reusing and recycling. The document highlights Oracle's green data center projects and how it empowers customers with applications to measure and reduce their environmental impact.
The document discusses green computing, which aims to reduce the environmental impact of technology. It covers the history and significance of green computing, including how IT contributes to carbon emissions. Methodologies like virtualization, power management, and using renewable energy are described. A three-tier architecture is presented involving hardware, operating systems, and applications. Examples of green computing applications and devices are provided. The future of green computing is addressed, along with its advantages such as energy savings and environmental friendliness.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
2. Table of Content
Introduction
History
Green IT???What Is It??
Real Reported Issues
Overall Approach to Green It
Green It Computer Life Cycle
Green It paradigm Shift
What Should We Do
Associated Practices
Go Green With Virtualization
Associated Benefits
Energy-Efficient programs 2
4. History
One of the first manifestations of the green computing
movement was the launch of the Energy Star program way back
in 1992.
Energy Star served as a kind of voluntary label awarded to
computing products that succeeded in minimizing use of energy
while maximizing efficiency.
1/18/2016 4
5. Green IT???What Is It?????
Green computing or green IT, refers to environmentally
sustainable computing or IT.
1/18/2016 5
6. Real Reported Issues
Servers and desktop PC s remain fully powered on nights and
weekends.
Carbon dioxide emissions generated by cooling.
Amount of electricity needed power and cool the data center
makes it one of the costliest aspects of an IT department.
Facilities issues
Inefficient and expensive cooling methods
Hardware issues
Energy-intense high-density servers
1/18/2016 6
11. What Should We Do???
Output
host
Input Green Procurement
Personal Computers (PCs)
Hardware –Data
Centre/Server
Software–Application
Enabled
Printing Management
Waste Management1/18/2016 11
13. Associated Practices
Data Center End-User Computing
Eliminate energy leaks
Use innovative and more
efficient cooling manner
Replace high-density servers
with virtual servers
Use alternative storage tactics
Reconfigure data center floor
layouts
Explore alternative energy
sources
Alter purchasing practices for
IT assets
Encourage adoption of energy-
saving settings on computers
Practice proper disposal and
recycling practices of IT assets
1/18/2016 13
16. Go Green With Virtualization
Key Benefits : reduce costs by 80%
• Consolidate Servers
• Reduce Energy Consumption
• Increase IT Capacity
• Reduce Co2 emmisions
1/18/2016 16
17. Associated benefits
Reduced carbon and other GHG emissions
Increased cooling efficiency in the data center
Reduced energy costs
Cost savings
Improved financial performance
Positive publicity
1/18/2016 17