This document discusses data center air flow management solutions from Wright Line. It outlines industry trends showing rising energy consumption and costs from data centers. Common problems in data centers include outdated designs and lack of airflow management. Wright Line strategies and products aim to contain hot and cold air streams to improve separation and efficiency. These include aisle containment solutions to reduce wasted cooling and capture higher return air temperatures for increased cooling capacity and chiller efficiency.
It is recognized within the industry that most data centers are not energy efficient. Traditional data center designs do not fully address optimizing the data center. While data center managers struggle with uptime and reliability, business executives are looking for ways to reduce capital and operational expenses to improve the bottom line. Green initiatives are also in place to not only save money but to be environmentally responsible. New green data center designs (based on hot and cold air containment) have started to become more popular. Containment strategies and air flow optimization are recognized as a way to achieve both technical and business objectives. By separating hot and cold air within the data center, capital and operational expenses can be reduced for the business and a more stable and predictable environment can be achieved for the IT organization.
The document discusses how green a data center is from different perspectives such as being environmentally conscious, reducing costs through efficiency, using renewable energy sources, and lowering carbon footprint, and provides examples of data on power consumption, cooling waste, and challenges faced by data centers. It also includes charts showing common problems in data centers related to power, heat, and space as well as inventory of typical IT equipment in a data center rack.
Datacenter Transformation - Energy And Availability - Dio Van Der ArendHPDutchWorld
(1) Datacenters are facing increasing demands that many current facilities cannot meet, requiring transformation through consolidation, virtualization, and improved energy efficiency and availability.
(2) Datacenter designs are evolving from small, isolated IT islands to larger, standardized facilities with improved reliability through redundant critical systems and failover capabilities.
(3) Next generation datacenter designs focus on high power density, energy efficiency through technologies like containerization, and rapid deployment in multiple locations for business flexibility.
The document discusses the utility and limitations of PUE (Power Usage Effectiveness) as a metric for datacenter efficiency. While PUE is a widely used high-level metric, it does not provide enough information on its own to optimize efficiency. To enable effective efficiency actions, more detailed energy monitoring data is needed, including power consumption at the individual IT device level trended over time. Gathering additional operational data beyond just PUE can provide insights to reduce energy waste throughout the entire datacenter system.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
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.
Retrofit, build, or go cloud/colo? Choosing your best directionSchneider Electric
When faced with the decision of upgrading an existing data center, building a new data center or leasing space in a third party colocation data center, there are both quantitative and qualitative differences to consider. This session reviews several key factors to help make a sound decision including a business’ sensitivity to cash flow, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors.
This document discusses the need for green data centers and provides strategies for making data centers more energy efficient. It notes that while many organizations say they are green, few have specific targets or programs to reduce their carbon footprint. As data center electricity consumption and costs rise, running out of power capacity, cooling capacity, and physical space are major concerns. The document then provides questions to assess a data center's energy efficiency in terms of facilities, IT equipment, and utilization rates. It recommends strategies like optimizing infrastructure utilization and choosing more efficient hardware and cooling options. The goal is to improve the data center infrastructure efficiency metric and lower costs by reducing redundant, underutilized resources.
It is recognized within the industry that most data centers are not energy efficient. Traditional data center designs do not fully address optimizing the data center. While data center managers struggle with uptime and reliability, business executives are looking for ways to reduce capital and operational expenses to improve the bottom line. Green initiatives are also in place to not only save money but to be environmentally responsible. New green data center designs (based on hot and cold air containment) have started to become more popular. Containment strategies and air flow optimization are recognized as a way to achieve both technical and business objectives. By separating hot and cold air within the data center, capital and operational expenses can be reduced for the business and a more stable and predictable environment can be achieved for the IT organization.
The document discusses how green a data center is from different perspectives such as being environmentally conscious, reducing costs through efficiency, using renewable energy sources, and lowering carbon footprint, and provides examples of data on power consumption, cooling waste, and challenges faced by data centers. It also includes charts showing common problems in data centers related to power, heat, and space as well as inventory of typical IT equipment in a data center rack.
Datacenter Transformation - Energy And Availability - Dio Van Der ArendHPDutchWorld
(1) Datacenters are facing increasing demands that many current facilities cannot meet, requiring transformation through consolidation, virtualization, and improved energy efficiency and availability.
(2) Datacenter designs are evolving from small, isolated IT islands to larger, standardized facilities with improved reliability through redundant critical systems and failover capabilities.
(3) Next generation datacenter designs focus on high power density, energy efficiency through technologies like containerization, and rapid deployment in multiple locations for business flexibility.
The document discusses the utility and limitations of PUE (Power Usage Effectiveness) as a metric for datacenter efficiency. While PUE is a widely used high-level metric, it does not provide enough information on its own to optimize efficiency. To enable effective efficiency actions, more detailed energy monitoring data is needed, including power consumption at the individual IT device level trended over time. Gathering additional operational data beyond just PUE can provide insights to reduce energy waste throughout the entire datacenter system.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
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.
Retrofit, build, or go cloud/colo? Choosing your best directionSchneider Electric
When faced with the decision of upgrading an existing data center, building a new data center or leasing space in a third party colocation data center, there are both quantitative and qualitative differences to consider. This session reviews several key factors to help make a sound decision including a business’ sensitivity to cash flow, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors.
This document discusses the need for green data centers and provides strategies for making data centers more energy efficient. It notes that while many organizations say they are green, few have specific targets or programs to reduce their carbon footprint. As data center electricity consumption and costs rise, running out of power capacity, cooling capacity, and physical space are major concerns. The document then provides questions to assess a data center's energy efficiency in terms of facilities, IT equipment, and utilization rates. It recommends strategies like optimizing infrastructure utilization and choosing more efficient hardware and cooling options. The goal is to improve the data center infrastructure efficiency metric and lower costs by reducing redundant, underutilized resources.
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
The document discusses the concept of establishing a zero carbon data center in British Columbia to reduce computing infrastructure's carbon footprint. It proposes locating the data center near green power sources using BCNET's advanced network, and connecting universities to reduce their carbon emissions. A zero carbon data center would be entirely self-sufficient through on-site energy production and reduce greenhouse gas emissions. The data center could utilize a modular design for efficient expansion as demand increases.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
This 2015 Environmental Leader “Top Project of the Year” award winner uses wireless gateways to integrate a historical science building into its campus-wide building management system to monitor and manage energy use and reduce costs.
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...DataWorks Summit
The electric grid has evolved from linear generation and delivery to a complex mix of renewables, prosumer-generated electricity, and electric vehicles (EVs). Smart meters are generating loads of data. As a result, traditional forecasting models and technologies can no longer adequately predict supply and demand. Extreme weather, an aging infrastructure, and the burgeoning worldwide population are also contributing to increased outage frequency.
In oil and gas, commodity pricing pressures, resulting workforce reductions, and the need to reduce failures, automate workflows, and increase operational efficiencies are driving operators to shift analytics initiatives to advanced data-driven applications to complement physics-based tools.
While sensored equipment and legacy surveillance applications are generating massive amounts of data, just 2% is understood and being leveraged. Operationalizing it along with external datasets enables a shift from time-based to condition-based maintenance, better forecasting and dramatic reductions in unplanned downtime.
The session includes plenty of real-world anecdotes. For example, how an electric power holding company reduced the time it took to investigate energy theft from six months to less than one hour, producing theft leads in minutes and an expected multi-million dollar ROI. How a global offshore contract drilling services provider implemented an open source IIoT solution across its fleet of assets in less than a year, enabling remote monitoring, predictive analytics and maintenance.
Key takeaways:
• How are new processes for data collection, storage and democratization making it accessible and usable at scale?
• Beyond time series data, what other data types are important to assess?
• What advantage are open source technologies providing to enterprises deploying IIoT?
• Why is collaboration important across industrial verticals to increase IIoT open source adoption?
Speaker
Kenneth Smith, General Manager, Energy, Hortonworks
The document discusses lessons learned from over 500 modular data center implementations around the world. Key lessons include: (1) Good modular design allows deferring up to 50% of electrical and mechanical capacity costs until needed, saving millions compared to retrofitting; (2) Plans should account for unpredictability over 10-30 years and support 3-5x power density growth; (3) No single cooling approach is optimal for all sizes and densities, requiring tailored solutions.
Effective data center design doesn't have to be complicated. Learn how simple topology solutions and proven, cost-effective technologies can help simplify operations and achieve the business and performance objectives of your data center.
Mr. M. L. Sinhal, Sr. Vice President
Reliance Industries Limited gave presentation on Green Data centres at 15th Green Building Congress 2017 event at Jaipur
The document summarizes the experience of building a sustainable data center at North County Transit District (NCTD). Key points include:
1) NCTD virtualized servers and improved energy efficiency but still saw a 15% increase in energy demand, showing the need for continued improvements.
2) Data centers consume a large amount of energy, with cooling accounting for up to 35% of costs. NCTD's new data center aims to improve its power usage effectiveness (PUE) ratio.
3) The new sustainable data center project at NCTD included a solar panel array, new cooling systems, and pursued LEED certification, with an expected return on investment within 15 years.
4)
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
Big Data Analytics Transforms Utilities and CitiesBlack & Veatch
ASSET360® combines engineering expertise with powerful data analysis to empower utilities and cities to remain nimble, efficient, reliable and competitive. Learn how data analytics can solve your toughest business issues. https://www.bv.com/asset360
This document discusses how organizations can start saving money on energy costs associated with data centers. It notes that the average enterprise pays $21-27 million per year for data center electricity, which is often covered in the CIO's budget. The document recommends that organizations use Symantec's software-based approach to lower data center energy costs by over 20% before investing in new hardware. Specific strategies discussed include managing physical and virtual environments more efficiently, stopping unnecessary storage purchases, optimizing high availability and disaster recovery systems, and controlling endpoint power usage. The document provides examples of cost and energy savings achieved by Symantec customers through these various green IT initiatives.
Matt Drum and Ray Kan of Ndevr present Oracle's Environmental Accounting and Reporting solution in E-Business Suite R12, and JD Edwards EnterpriseOne, as well as a full demonstration of the sustainability reports that can be generated from these modules using BI.
In this video from SC17 in Denver, Dan Reed moderates a panel discussion on HPC Software for Energy Efficiency.
"We have already achieved major gains in energy-efficiency for both the datacenter and HPC equipment. For example, the PUE of the Swiss Supercomputer (CSCS) datacenter prior to 2012 was 1.8, but the current PUE is about 1.25; a factor of ~1.5 improvement. HPC system improvements have also been very strong, as evidenced by FLOPS/Watt performance on the Green500 List. While we have seen gains from data center and HPC system efficiency, there are also energy-efficiency gains to be had from software- application performance improvements, for example. This panel will explore what HPC software capabilities were most helpful over the past years in improving HPC system energy efficiency? It will then look forward; asking in what layers of the software stack should a priority be put on introducing energy-awareness; e.g., runtime, scheduling, applications? What is needed moving forward? Who is responsible for that forward momentum?"
Watch the video: https://wp.me/p3RLHQ-hHQ
Learn more: https://sc17.supercomputing.org/presentation/?id=pan103&sess=sess245
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Electricity usage costs have become an increasing fraction of the total cost of ownership (TCO) for data centers. It is possible to dramatically reduce the electrical consumption of typical data centers through appropriate design of the data center physical infrastructure and through the design of the IT architecture. This paper explains how to quantify the electricity savings and provides examples of methods that can greatly reduce electrical power consumption.
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
IT service provider, IT outsourcing, OneNeck IT Servicesoneneckitservices
This case study will examine how one of the world's largest manufacturers of pumps, valves, seals and components to the process industries turned to an IT outsourcing services company to migrate, host and manage its complex IT operations. The company is recognized as one of the world’s premier providers of flow management systems. The company supplies pumps, valves, seals, automation and services to the power, oil, gas, chemical, and other industries.
The document summarizes services provided by an energy and sustainability consulting firm. It discusses comprehensive energy management strategies, energy and carbon mapping, strategy support, energy procurement services, power reliability and metering solutions, infrastructure and efficiency upgrades, and measurement and reporting services. Case studies are provided that highlight how the firm has helped global companies reduce energy costs and improve sustainability through customized solutions.
This document discusses options for data center owners and operators to consider when their aging infrastructure may no longer meet current or future needs. As digital traffic and the internet of things continue to grow rapidly, data center infrastructure is facing unprecedented challenges. The document outlines various strategies to evaluate such as tuning up existing facilities, targeted modernization of critical components, adopting pod-based architectures, and building new infrastructure to right-size capacity. Each option involves analyzing business needs, costs, efficiency gains, and potential downtime to determine the best path forward.
Commercial Overview DC Session 4 Introduction To Energy In The Data Centrepaul_mathews
The document discusses energy usage in data centres, noting that IT equipment accounts for 40% of energy consumption while cooling and ventilation makes up 35%. It also outlines metrics for measuring data centre efficiency like PUE and DCIE and discusses factors that influence energy consumption from cooling systems, UPS systems, and the external environment. Standards and legislation from organizations like the EU and US aim to improve data centre energy efficiency and reduce costs and environmental impact.
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
The document discusses the concept of establishing a zero carbon data center in British Columbia to reduce computing infrastructure's carbon footprint. It proposes locating the data center near green power sources using BCNET's advanced network, and connecting universities to reduce their carbon emissions. A zero carbon data center would be entirely self-sufficient through on-site energy production and reduce greenhouse gas emissions. The data center could utilize a modular design for efficient expansion as demand increases.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
This 2015 Environmental Leader “Top Project of the Year” award winner uses wireless gateways to integrate a historical science building into its campus-wide building management system to monitor and manage energy use and reduce costs.
IIoT + Predictive Analytics: Solving for Disruption in Oil & Gas and Energy &...DataWorks Summit
The electric grid has evolved from linear generation and delivery to a complex mix of renewables, prosumer-generated electricity, and electric vehicles (EVs). Smart meters are generating loads of data. As a result, traditional forecasting models and technologies can no longer adequately predict supply and demand. Extreme weather, an aging infrastructure, and the burgeoning worldwide population are also contributing to increased outage frequency.
In oil and gas, commodity pricing pressures, resulting workforce reductions, and the need to reduce failures, automate workflows, and increase operational efficiencies are driving operators to shift analytics initiatives to advanced data-driven applications to complement physics-based tools.
While sensored equipment and legacy surveillance applications are generating massive amounts of data, just 2% is understood and being leveraged. Operationalizing it along with external datasets enables a shift from time-based to condition-based maintenance, better forecasting and dramatic reductions in unplanned downtime.
The session includes plenty of real-world anecdotes. For example, how an electric power holding company reduced the time it took to investigate energy theft from six months to less than one hour, producing theft leads in minutes and an expected multi-million dollar ROI. How a global offshore contract drilling services provider implemented an open source IIoT solution across its fleet of assets in less than a year, enabling remote monitoring, predictive analytics and maintenance.
Key takeaways:
• How are new processes for data collection, storage and democratization making it accessible and usable at scale?
• Beyond time series data, what other data types are important to assess?
• What advantage are open source technologies providing to enterprises deploying IIoT?
• Why is collaboration important across industrial verticals to increase IIoT open source adoption?
Speaker
Kenneth Smith, General Manager, Energy, Hortonworks
The document discusses lessons learned from over 500 modular data center implementations around the world. Key lessons include: (1) Good modular design allows deferring up to 50% of electrical and mechanical capacity costs until needed, saving millions compared to retrofitting; (2) Plans should account for unpredictability over 10-30 years and support 3-5x power density growth; (3) No single cooling approach is optimal for all sizes and densities, requiring tailored solutions.
Effective data center design doesn't have to be complicated. Learn how simple topology solutions and proven, cost-effective technologies can help simplify operations and achieve the business and performance objectives of your data center.
Mr. M. L. Sinhal, Sr. Vice President
Reliance Industries Limited gave presentation on Green Data centres at 15th Green Building Congress 2017 event at Jaipur
The document summarizes the experience of building a sustainable data center at North County Transit District (NCTD). Key points include:
1) NCTD virtualized servers and improved energy efficiency but still saw a 15% increase in energy demand, showing the need for continued improvements.
2) Data centers consume a large amount of energy, with cooling accounting for up to 35% of costs. NCTD's new data center aims to improve its power usage effectiveness (PUE) ratio.
3) The new sustainable data center project at NCTD included a solar panel array, new cooling systems, and pursued LEED certification, with an expected return on investment within 15 years.
4)
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
Big Data Analytics Transforms Utilities and CitiesBlack & Veatch
ASSET360® combines engineering expertise with powerful data analysis to empower utilities and cities to remain nimble, efficient, reliable and competitive. Learn how data analytics can solve your toughest business issues. https://www.bv.com/asset360
This document discusses how organizations can start saving money on energy costs associated with data centers. It notes that the average enterprise pays $21-27 million per year for data center electricity, which is often covered in the CIO's budget. The document recommends that organizations use Symantec's software-based approach to lower data center energy costs by over 20% before investing in new hardware. Specific strategies discussed include managing physical and virtual environments more efficiently, stopping unnecessary storage purchases, optimizing high availability and disaster recovery systems, and controlling endpoint power usage. The document provides examples of cost and energy savings achieved by Symantec customers through these various green IT initiatives.
Matt Drum and Ray Kan of Ndevr present Oracle's Environmental Accounting and Reporting solution in E-Business Suite R12, and JD Edwards EnterpriseOne, as well as a full demonstration of the sustainability reports that can be generated from these modules using BI.
In this video from SC17 in Denver, Dan Reed moderates a panel discussion on HPC Software for Energy Efficiency.
"We have already achieved major gains in energy-efficiency for both the datacenter and HPC equipment. For example, the PUE of the Swiss Supercomputer (CSCS) datacenter prior to 2012 was 1.8, but the current PUE is about 1.25; a factor of ~1.5 improvement. HPC system improvements have also been very strong, as evidenced by FLOPS/Watt performance on the Green500 List. While we have seen gains from data center and HPC system efficiency, there are also energy-efficiency gains to be had from software- application performance improvements, for example. This panel will explore what HPC software capabilities were most helpful over the past years in improving HPC system energy efficiency? It will then look forward; asking in what layers of the software stack should a priority be put on introducing energy-awareness; e.g., runtime, scheduling, applications? What is needed moving forward? Who is responsible for that forward momentum?"
Watch the video: https://wp.me/p3RLHQ-hHQ
Learn more: https://sc17.supercomputing.org/presentation/?id=pan103&sess=sess245
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Electricity usage costs have become an increasing fraction of the total cost of ownership (TCO) for data centers. It is possible to dramatically reduce the electrical consumption of typical data centers through appropriate design of the data center physical infrastructure and through the design of the IT architecture. This paper explains how to quantify the electricity savings and provides examples of methods that can greatly reduce electrical power consumption.
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
IT service provider, IT outsourcing, OneNeck IT Servicesoneneckitservices
This case study will examine how one of the world's largest manufacturers of pumps, valves, seals and components to the process industries turned to an IT outsourcing services company to migrate, host and manage its complex IT operations. The company is recognized as one of the world’s premier providers of flow management systems. The company supplies pumps, valves, seals, automation and services to the power, oil, gas, chemical, and other industries.
The document summarizes services provided by an energy and sustainability consulting firm. It discusses comprehensive energy management strategies, energy and carbon mapping, strategy support, energy procurement services, power reliability and metering solutions, infrastructure and efficiency upgrades, and measurement and reporting services. Case studies are provided that highlight how the firm has helped global companies reduce energy costs and improve sustainability through customized solutions.
This document discusses options for data center owners and operators to consider when their aging infrastructure may no longer meet current or future needs. As digital traffic and the internet of things continue to grow rapidly, data center infrastructure is facing unprecedented challenges. The document outlines various strategies to evaluate such as tuning up existing facilities, targeted modernization of critical components, adopting pod-based architectures, and building new infrastructure to right-size capacity. Each option involves analyzing business needs, costs, efficiency gains, and potential downtime to determine the best path forward.
Commercial Overview DC Session 4 Introduction To Energy In The Data Centrepaul_mathews
The document discusses energy usage in data centres, noting that IT equipment accounts for 40% of energy consumption while cooling and ventilation makes up 35%. It also outlines metrics for measuring data centre efficiency like PUE and DCIE and discusses factors that influence energy consumption from cooling systems, UPS systems, and the external environment. Standards and legislation from organizations like the EU and US aim to improve data centre energy efficiency and reduce costs and environmental impact.
Enhance your aged infrastructure without impacting operationsEaton Electrical
Data centers are built for multi-year lifecycles, but technology and business continue to evolve, making the infrastructure less than optimal. How do you take a former high-performance facility and transform it to meet today’s business and environmental needs without “throwing it all away” – and maintaining full operations?
Explore how H5 Data Centers upgraded its Denver facility to meet efficiency goals with a flexible solution that addresses its growing demands and ensures reliability and scalability. As a colocation provider, H5 Data Centers needed to ensure 100 percent continuous uptime for a broad set of customers while transforming its 20+-year-old facility to a modern standard.
The Future of Data Warehousing: ETL Will Never be the SameCloudera, Inc.
Traditional data warehouse ETL has become too slow, too complicated, and too expensive to address the torrent of new data sources and new analytic approaches needed for decision making. The new ETL environment is already looking drastically different.
In this webinar, Ralph Kimball, founder of the Kimball Group, and Manish Vipani, Vice President and Chief Architect of Enterprise Architecture at Kaiser Permanente will describe how this new ETL environment is actually implemented at Kaiser Permanente. They will describe the successes, the unsolved challenges, and their visions of the future for data warehouse ETL.
Retrofit, build, or go cloud/colo? Choosing your best directionSchneider Electric
When faced with the decision of upgrading an existing data center, building a new data center or leasing space in a third party colocation data center, there are both quantitative and qualitative differences to consider. This session reviews several key factors to help make a sound decision including a business’ sensitivity to cash flow, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors.
Electricity use and efficiency of servers and data centers was reviewed. Recent data shows that in 2005, servers accounted for 1.2% of total US electricity use and data centers including servers, networking and cooling accounted for 1.5% of US electricity use. Total electricity use of servers and data centers is expected to increase by 40-76% by 2010 based on current growth forecasts. Opportunities for improving efficiency include whole system redesign, aligning incentives, virtualization, consolidation, and new more efficient server designs like Intel's Eco-Rack which can provide 16-18% savings over standard racks.
Case Study: Datotel Extended the Power of Infrastructure Management to the Ph...CA Technologies
Learn how Datotel, a provider of cloud computing, co-location and Infrastructure as a Service (IaaS) is using CA DCIM to help run their data centers more efficiently.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
At IoT World 2017 Tom Fletcher, Vice President – Controls Engineering & Innovation, outlined key topics around the connected building transformation.
Including: Key Trends, History of Commercial HVAC, Technology-Enabled Transformation, Resulting Customer Business Outcomes, Challenges to Consider
The New Role of Data in the Changing Energy & Utilities LandscapeDenodo
Watch full webinar here: https://bit.ly/3PrxEx2
Energy companies - both producers and utilities - are facing a challenging and changing business and regulatory environment over the next decade or so. As governments around the world pledge to be 'net zero' by 2050, new regulations are putting pressure on energy companies to accelerate the move to renewable energy sources whilst at the same time gearing up for more widespread electrification as consumers move away from carbon fuels.
The growth of renewable energy sources has also changed the way that utilities manage demand response. The old way of bringing generating units (typically coal or gas-fueled generators) online for peak demand hours no longer works. The distributed utility infrastructure that is used today requires a lot more flexibility and planning to meet - and to shape - consumer demand.
At the heart of the energy company challenges is data. Data to better manage and optimize the generating resources. Data to better inform the consumers about their energy consumption. And data to deliver better services and new product offerings to those consumers.
In this webinar, we will look at how energy companies and utilities can liberate and democratize their data to better utilize the strategic data assets that they already own. We will look at how the Denodo Platform, powered by Data Virtualization, has helped energy companies around the world access real-time data to drive their operations and allow them to respond to the ever-changing business environment.
Using Data Platforms That Are Fit-For-PurposeDATAVERSITY
We must grow the data capabilities of our organization to fully deal with the many and varied forms of data. This cannot be accomplished without an intense focus on the many and growing technical bases that can be used to store, view, and manage data. There are many, now more than ever, that have merit in organizations today.
This session sorts out the valuable data stores, how they work, what workloads they are good for, and how to build the data foundation for a modern competitive enterprise.
The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufa...Aggregage
Join us for a practical webinar, hosted by Kevin Kai Wong of Emergent Energy, where we'll explore how leveraging data-rich energy management solutions can drive operational excellence in the evolving landscape of energy intelligence and sustainability in manufacturing!
CopperTree Analytics Smart Building, increase energy efficiency, improve tenant comfort and reduce maintenance costs.
For more than 30 years, CopperTree’s parent company, Delta Controls (one of the largest independent building controls manufacturers), and sister company, ESC Automation (Western Canada’s largest building systems integrator), have been at the forefront of creating smart buildings. Long before “sustainable” was a buzz word, the founders were involved in energy audits and consulting; and so it was a natural extension to create CopperTree Analytics in response to the growing demand for building energy management services.
The summary provides an overview of the Earth Rangers organization and their green data centre and building initiatives:
Earth Rangers is an environmental education non-profit that reaches nearly 300,000 children across Ontario. They built an energy efficient, LEED Gold data centre and building at their Earth Rangers Centre that uses 90% less energy than average. Through partnerships and green technologies like virtualization, solar power, and energy efficient equipment, they created one of the world's greenest and most sustainable facilities focused on reducing environmental impact and costs.
Energy solutions for federal facilities : How to harness sustainable savings ...Schneider Electric
Looming Mandates. Energy insecurity. Shrinking budgets. Discover solutions available today to help you tackle your energy dilemma. Take a 30K foot tour of solutions to increase energy efficiency and reliability, maximize energy ROI and enhance mission assurance. Get tips for navigating the event to make the most of your Xperience.
1. Data centers are a major consumer of power in the US, accounting for 1.5-2.5% of total US power usage. There are over 3 million data centers in the US ranging significantly in size.
2. Energy costs, specifically for powering and cooling servers, is the fastest growing expense for data centers and will account for nearly $40 billion spent in the US alone in 2010.
3. Current tools can measure server utilization and power consumption separately but not together. Viridity Software aims to be the only solution that combines these metrics to provide "power utilization" tied to business needs to help address the challenges of rising energy costs and power constraints in data centers.
COMMON PROBLEMS AND CHALLENGES IN DATA CENTRESKamran Hassan
in this paper common problems and challenges of data center have been identified and methods have been explained to improve the efficiency and reliability of data center
Managing the Impact and Cost of the IOT Data Explosion - Data Centre Converge...Panduit
For the past 10-15 years we have seen dynamic transformation in technology and key focus areas of the Data Centre to support evolving business needs. From Availability, Consolidation, Virtualisation, Energy Management and more recently Big Data, Mobility and Cloud. Facilities had to reduce the PUE, IT Compute had to become increasingly efficient and with reducing OPEX.
There never has been a greater need for having a Converged Infrastructure to connect and support the Data Centre. In this presentation Panduit introduce and discuss a Yahoo case study of real energy management reduction of up to 50%.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.