How can edge computing be used to improve sustainability

• https://blog.apc.com/partners/ • https://blog.apc.com/ar/es • https://blog.apc.com/au/en • https://blog.apc.com/bo/es • https://blog.apc.com/cl/es • https://blog.apc.com/co/es • https://blog.apc.com/cr/es • https://blog.apc.com/do/es • https://blog.apc.com/ec/es • https://blog.apc.com/sv/es • https://blog.apc.com/gt/es • https://blog.apc.com/hn/es • https://blog.apc.com/mx/es • https://blog.apc.com/ni/es • https://blog.apc.com/pa/es • https://blog.apc.com/py/es • https://blog.apc.com/pe/es • https://blog.apc.com/pr/es • https://blog.apc.com/es/es • https://blog.apc.com/uk/en • https://blog.apc.com/uy/es • https://blog.apc.com/ve/es February 10, 2022 February 10, 2022 LinkedIn 7837views TAGS Data centers consume an estimated 200 terawatt hours (TWh) of energy each year–more than the energy consumption of some countries. They also produce an estimated . These figures are both staggering and seemingly despairing–after all, so much of our global infrastructure and modern economy relies upon these goliath server farms to do business. But what if there is a way to reduce the reliance on these large-scale data centers while maintaining data and storage integrity with a more sustainable solution? Well, there is. Edge computing for ongoing sustainability The fundamental premise of In addition to this, when businesses are looking to add to their edge computing capabilities, they can more specifically choose products and solutions that align with their sustainability goals. These i...

Edge computing, also known as edge network or distributed edge computing, is a way of processing data at the source. It consumes less power and reduces latency than central servers located in cloud data centers. Edge computing is an industry 4.0, now established in the industry, which refers to a range of networks and devices near the user. The edge is about processing data, enabling processing at higher speeds and volumes and leading to more impactful results in real time. Edge computing be used to improve sustainability Edge computing offers advantages over traditional models in which computing power is centralized in an on-premises data center. It enables companies to improve management and utilization of physical resources and create new business opportunities. Centralized data centers consume a lot of energy, produce a lot of carbon emissions, and cause significant e-waste. While more and more data centers are moving toward green energy, an even more sustainable approach (alongside these so-called "green data centers") is to reduce unnecessary cloud traffic, central computer, and storage as much as possible by moving to compute to the edge. Edge computing stores and uses data locally, on or near the device, reducing the amount of traffic sent to the cloud and, at scale, the impact on energy use and carbon emissions. Green edge computing Green edge computing can help improve the three pillars of sustainability, the ESG factors: • Environmental Sustainability • Social S...

In this article These design considerations for configuring and extending Microsoft Sustainability Manager support the pillars of Well-Architected for Microsoft Cloud for Sustainability. Configure Microsoft Sustainability Manager • The solution includes prebuilt calculation methodologies for scope 1, 2, and 3 emissions with some of the scope 3 categories in preview. • The water and waste data models for Cloud for Sustainability are currently in the preview stage and aren't meant for production use at this time. • Microsoft Teams collaboration and chat are currently preview features. Collaboration capability requires a Microsoft Teams license. • The current value and status of the goals are updated once every day or when new data is brought into the system. You can't adjust the timing of the system update. However, you can manually edit the goal or refresh the goal status. • You can't change pre-existing fields on activity data, but you can create new fields to extend the existing tables. • When you create a goal record, you can update the current value manually or automatically as per the configuration. The maximum frequency for automatic updates is once per day. • The solution doesn't support the calculation of the same activity data using two or more calculation methods. • Efficiencies and changes in an activity can impact emission factors, so it’s important to constantly update the factors based on the latest standards and research. Extend Microsoft Sustainability Manag...

The Internet of Things (IoT) and Artificial Intelligence (AI) are transforming industries and society. They make it possible to automate routine activities while unlocking previously unattainable insights and functionality. Edge computing – processing data where it is created, rather than remotely in a data center – offers a greener, smarter solution. Moving AI to the edge Sensors have undergone extraordinary proliferation since the beginning of the 21st Century. Thanks to IoT, connected, smart sensors are all around us. In 2030 it is estimated that the billions of sensors on IoT devices could be responsible for 30% of Internet data traffic, thanks to the widespread deployment of 5G. This would significantly increase the carbon impact of AI. IoT and AI applications have traditionally been deployed in the cloud because they require the computing resources of data centers to turn data into insights and action. As the number of applications grows, we need to reduce their dependency on power-hungry cloud computing. Edge computing provides a solution. It involves moving some portion of the storage and compute resources out of the data center, closer to where the data is being generated. In this way, applications and devices collect and analyze data on their own. This approach is gaining momentum as it offers meaningful innovation for applications as varied as consumer products, building management, predictive maintenance in the industry, autonomy for vehicles, and much more. It...

June 20-22, 2023 HPE Discover 2023 Equinix is a silver sponsor at the event, so be sure to schedule time with our staff of experts who will be on site and available to meet 1:1 to learn more about how HPE GreenLake with Equinix can help transform your business, s ustainably. Contact [email protected] to schedule a meeting today! Las Vegas, United States The theme for this year’s Earth Day is “Restore Our Earth” which is about reducing and reversing our environmental impact on the planet. To see what this impact has been over the past 40 years, NASA’s Climate Time Machine and Google’s Timelapse in Google Earth provide excellent visual perspectives of humanity’s adverse effect on the earth. At the same time, the COVID-19 global pandemic provided an unexpected perspective on what happens when we come together to meet a common goal. Universal social distancing lockdowns brought 2 emissions fell by 2.4 billion metric tons in 2020, the steepest decline seen over the past century and 7% lower than 2019. Source: Nature.com Throughout the lockdown, digital technologies played an increasingly visible role in keeping society going by enabling virtual interaction for everything from However, while virtual interactions have a much lower carbon footprint than traveling to meet in person, achieving further positive environmental impact will depend on improving the efficiencies of data exchange. As data volumes continue to grow, keeping digital exchange points at the edge, where data and co...

Each day, energy flows throughout our lives – from the fuel that powers cars and planes, to the gas used for stove top cooking, to the electricity that keeps the lights on in homes and businesses. Oil, gas, and electricity are mature commodity markets, but AI is transforming the processes used to produce, transport, and deliver these resources. Enter AI deployed at the edge: on oil rigs, within power plants, riding along utility trucks, even embedded in smart buildings. Oil and gas enterprises and utilities are using AI and edge computing to improve operational efficiency, protect worker health and safety, integrate renewable energy, increase grid resiliency, and provide more reliable and affordable sources of energy to consumers. Figure 1. Noteworthy AI, a member of NVIDIA Inception, put smart cameras on FirstEnergy’s trucks in a pilot that showed how edge computing can monitor millions of pole-mounted assets. Image courtesy of Noteworthy AI. As companies and countries race to decarbonize and meet net-zero emissions goals, edge AI will play a key role managing distributed energy resources such as electric vehicles, home batteries, solar panels, and wind farms to enhance power grid resiliency and accelerate the energy transition. The following examples highlight the top AI use cases across the energy industry, including: • Software-defined smart grids: Future smart meters will use edge computing to optimize power flow, detect grid anomalies, deliver more reliable energy at...

The energy industry is undergoing a significant transformation as it faces numerous challenges such as increasing demand for electricity, the integration of renewable energy sources, and the emergence of The Challenges Facing the Energy Industry The traditional power grid is one of the most critical infrastructures in our day-to-day lives. It powers our homes, schools, hospitals, and industries, among others. However, the power grid is facing numerous challenges, such as increasing demand for electricity, the integration of renewable energy sources, and the emergence of electric vehicles. These challenges require innovative solutions to optimize the grid’s operation, enhance its resilience, and reduce energy waste. What is Edge Computing? Edge computing is a distributed computing paradigm that enables the processing and analysis of data closer to the source. It can be deployed in various locations in the power grid, such as substations, to process and analyze the data generated by the sensors in real time. Edge computing can help to optimize the power grid’s operation, enhance its resilience, and reduce energy waste. Smartening the Power Grid with Edge Computing In a smart grid system, numerous sensors are deployed to collect data on the power grid’s health and performance. These sensors generate vast amounts of data that must be processed and analyzed in real-time to make informed decisions. Instead of sending all this data to a centralized data center, edge computing can...

Edge computing is a revolutionary technology that has emerged in recent years to address the needs of the IoT (Internet of Things) and other distributed systems. It is a computing model that involves processing data at or near the source of the data, which provides many benefits over traditional cloud-computing models. Edge computing has the potential to greatly improve sustainability by reducing energy consumption, lowering carbon emissions, and improving resource efficiency. In this article, we will explore the ways in which edge computing can be used to improve sustainability and drive positive environmental outcomes. Edge Computing for Smart Manufacturing Abstract In many industrial applications, the use of edge computing can be a significant enabler for more efficient use of resources, reducing waste, and increasing productivity. By using edge computing, manufacturers can implement real-time monitoring and control of equipment, enabling predictive maintenance and reducing downtime. This helps to reduce the amount of energy consumed by equipment, lowering carbon emissions, and improving overall resource efficiency. Introduction Smart manufacturing is becoming an increasingly important area for industry, as manufacturers look for ways to increase efficiency, reduce costs, and minimize downtime. One of the key challenges in smart manufacturing is the need to process large volumes of data in real-time, which can be difficult using traditional cloud-based computing models....