...COMPUTER ASSIGNMENT CASE STUDY-GREEN DATA CENTERS: GOOD FOR BUSINESS? Nita Adhikari BBA-1st SEMESTER Section B Green data centers: Good for business Synopsis This case all deals about bringing the concept of green computing and cost reduction in business field. The case revolves around how to minimize the cost of power consumption and efficiently use different improved tools and technique’s such as virtualization in data centers.it even visualize some of the world’s prominent firms like Microsoft, Google and Facebook; how have they used the concept of green computing that helps in business market even. Case Facts 1. Power and cooling costs for data centers have highly risen. 2. The power consumption for cooling the server has negative impact on the environment. 3. The efficient energy of data center is measured in Power Usage Effectiveness (PUE). 4. The lower PUE is better, 1.0 is the desirable target, which traditionally was 2.0, and newly they designed for 1.5 and much better are emerging. 5. PUE is influenced by many factors, including hardware efficiency, data center size, the types of servers and their uses, the proficiency of monitoring software. 6. Union pacific, the largest North American Rail road, implemented Microsoft windows server 2008 virtualization, in order to use the computing resources more efficiently. Previously it had run an application per server which underutilized all the resources. By 2009, it created 380 virtual...
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...CAse Study REPORT PUE DATA CENTER EFFICIENCY MEASUREMENT Introduction One of the metrics used for measuring datacenter efficiency is Power Usage Effectiveness, or PUE. PUE compares the power consumption for the entire facility with the power consumed by the core IT components—servers, storage and network equipment. This ratio illustrates how effectively the power being consumed translates into net compute capacity. Mathematically, the calculation is straightforward: For example, if one watt is being consumed by the servers and one watt is being consumed for the supporting cooling, power back up and other administrative use, the ratio would be 2.0—which is where most datacenters operate. The theoretical ideal PUE is 1.0, where the only energy consumed is for computation. The value of this metric is that it focuses on the non-value added use of power, which in a datacenter is anything that doesn’t compute or store information. PUE = Total Facility Power/ IT Equipment Power Below is an Example to calculate the PUE: Having a facility that uses 100,000 kW of total power of which 80,000 kW is used to power your IT equipment, would generate a PUE of 1.25. The 100,000 kW of total facility power divided by the 80,000 kW of IT power Total Facility Power is defined to be “power as measured at the utility meter”. IT Equipment Power is defined as “the load associated with all of the IT equipment”...
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...1.1 Convergence Data centers use different network fabrics to meet the quality of service require- ments of different workload types. There are three main workload types, namely, general networking traffic, storage traffic, and inter-processor traffic. General net- working traffic is handled by Ethernet, storage traffic is handled by Fibre Channel (FC), and inter-processor traffic is handled by Infiniband (IB). Each network fabric is designed to meet the throughput and latency requirements of its workload. Gen- eral networking traffic is very mixed and includes web traffic along with email and socket applications, so there are few quality of service requirements. Storage traffic between storage devices and servers requires high I/O rates, high capacity and non- disruptive data delivery. Inter-processor traffic requires low latency. General network traffic does not have stringent latency requirements and is not drastically impacted by packet loss. Storage and inter-processor traffic have low latency requirements and require guaranteed delivery of packets. Figure 1-1 shows an example of a converged datacenter. Unfortunately there is a major down-side to having several fabrics in a single data 1Figure 1-1: Converged Datacenter center. There is a high cost to managing and maintaining the various fabrics in a data center. Having several fabrics in a single data center results in high heat generation due to additional heat generating hardware as well as reduced air...
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...Case: Google Data Center Efficiency Best Practices 1. What is PUE, and why is it an important place to start when considering how to reduce data center power consumption? What value of PUE should data center managers strive for? 2. Describe the five methods recommended by Google for reducing power consumption. 3. How much of the world’s global greenhouse gases are the result of computing? List several factors that will tend to retard or accelerate data center power consumption both globally and in the United States. 4. Where do you suspect that data-center power consumption will be greatest: developing and emerging economies or already developed economies? Why? 5. Imagine that a company has developed an advanced technology that allows it to reduce its data-center requirements by an unprecedented amount, and creates a competitive Power usage efficiency (PUE) is a form of measuring how efficient a data center is in using energy. PUE can be determined by a ratio of amount of power entering the data center by the amount of power used to run the computer equipment (PUE = Total Facility Energy/IT Equipment Energy). PUE provides the tool to measure how effective a data center is in utilizing energy to cool its computers equipment. Data center managers strive for a PEU of 1.0. As the PUE increases over 1.0 the less efficient the data center is in using energy to cool its computer equipment which could be very costly for the company since its overhead cost will rise...
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...company implements a tier III data center. By doing this, we will yield a savings of $13 million over the next three years. Implementing a tier III data center is so important, since it will make our data management more efficient. Continuing to use a Tier I system is causes us to experience frequent down time since it is has no safeguard to an unplanned interruption in service. However, the key features of a Tier III data center provides backup in case of power outages and allows for data access when certain paths aren’t accessible. This will reduce downtime by .31%. (Uptime Institute) These multiple independent distribution paths aim to continue system operation in the case of any disruption from unplanned circumstances. They also include multiple cooling distribution paths and are concurrently maintainable (datacenters.com), meaning that system problems could be fixed while the system is still online. Installing a tier III data center will strengthen our data management. After analyzing the figures, it is the clear that we will see a quick return on our investment in a Tier III data center. Installing the data center will take a year to complete and cost us $35 million dollars. Although this might seem like a large investment, we must keep in mind that we lose $14,800 dollars for every minute of downtime. With 10 outages to our ERP system in the last year alone, minimizing the amount of downtime is crucial. After installation of the data center is finished, our company will...
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...is an association of IT professionals seeking to dramatically raise the energy effi ciency of datacenters through a series of short-term and long-term proposals. This is an update to the very fi rst white paper published by the Green Grid in February 2007 called “Green Grid Metrics: Describing Data Center Power Effi ciency” to refi ne the nomenclature and intent of that paper. In that paper, The Green Grid proposed the use of Power Usage Effectiveness (PUE) and its reciprocal, Datacenter Effi ciency (DCE) metrics, which enable datacenter operators to quickly estimate the energy effi ciency of their datacenters, compare the results against other datacenters, and determine if any energy effi ciency improvements need to be made. Since then PUE has received broad adoption in the industry but DCE has had limited success due to the misconception of what data center effi ciency really means. As a result, this paper re-affi rms the use of PUE but redefi nes its reciprocal as datacenter infrastructure effi ciency (DCiE). This refi nement will avoid much of the confusion around DCE and will now be called DCiE. In the long term, The Green Grid is developing metrics to measure data center productivity as well as effi ciency metrics for all major power-consuming subsystems in the datacenter. To promote these metrics and drive greater datacenter energy effi ciency for businesses around the world, The Green Grid will publish future white papers that provide detailed guidance on using...
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...Green Data Centers: Introduction: Data center is a warehouse where we can store, manipulate, manage and disseminate the data. All the data handling equipment consume a huge amount of energy. To run a data center, it needs power or energy i.e. electricity. It has some effects on surroundingswhich can be either environmental for example CO2 emission, heat etc. or non-environmental decrease in efficiency. In order to make it efficient with both aspects environmental and non environmental there are some mechanisms so that a data center could be energy efficient and environment friendly. We can call it green data centers. Digital data grows tremendously day by day. Growth of data demands of data center for storage and management purposes. According to a report, digital data will increase approximately 44 times of current situation, which increases demand of data centers. Power consumption by data centers will increase accordingly,which causes different problems in addition with CO2 emission. Another report says that CO2 emission from data centers may exceed from any air line CO2 emission by 2020.which is an alarming situation for data centers. So, there is a need of such data centers which are energy efficient as well as environment friendly to meet the needs of present situation. Data centers which will not update their status with the need of time have risk to pay more than double for the same amount of energy requirements. Therefore, there is a need for making data centers...
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...4.1 Data Center Grouping of IT resources such as servers , databases ,networking and communication devices in close with each other rather than having them geographically dispersed. Advantages of Data Center :- 1. It allows for power sharing 2. Higher efficiency in usage shared IT resources 3. Improved accessibility for IT personnel(less management team is required) 4.1.1 Different Types of Infrastructures in a Data Center 1. Building Infrastructure:- “BUILDING SYSTEM” electrical system, fire suppression, lightning, security etc. 2. Data Center Infrastructure:- power, cooling racks, management, physical security, fire suppression etc. 3. IT Infrastructure :-“IT ASSETS” servers, storage, hypervisor etc. 4. Network...
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...[pic] AMERICAN INTERNATIONAL UNIVERSITY–BANGLADESH (AIUB) FACULTY OF SCIENCE & INFORMATION TECHNOLOGY INTERNSHIP AFFILIATION REPORT ON Web Application Development using HTML, CSS and PHP at SynTech It & Marketing Form An Internship Report Presented to the OFFICE OF PLACEMENT and DEPARTMENT OF COMPUTER SCIENCE In Partial Fulfillment of the Requirements for the Degree of Bachelor of Science in Computer Science & Engineering Supervised By MD. Hafizur Rahman (HAFIZ) Assistant Professor & Special Assistant (CS) Department of Computer Science American International University-Bangladesh (AIUB) Submitted By Sikder Md.Mohiuddin ID: 10-17082-2 DEPT: CSE Date of Submission: May 4, 2014 LETTER OF SUBMITTAL Dr. Dip Nandi Assistant Professor & Head Department of Computer Science (Undergraduate Program) American International University-Bangladesh (AIUB) Subject: Submission of the Internship Report. I take the pleasure to submit my report titled “Web Application Developer”. This report provided me the opportunity to experience the real flavor of the web developer profession. In this report, I tried to summarize what I have done and experienced during my internship period as a web developer in Department of Web development of SynTech Web House (& Marketing Firm). I was assigned to work as a web developer in Department of Web development where I developed an application using HTML and CSS. Overall...
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...social problems does data center power consumption cause? Data center power consumption economically affects businesses and environmentally affects society. Operating costs for data centers is very expensive. In the article, "Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments," the total operating costs, concerning electricity, of all data centers within the U.S. alone exceeded 7 billion dollars in 2010 (Ayala, J., Moya, J., Risco-Martín, J., Sanchez, C., Zapater, M. 2012). The article then explains that data centers consumed 61 billion kilowatt-hours in 2006;the Environmental Protection Agency provided this statistic to the US Congress in a report from 2007 (Ayala, J., Moya, J., Risco-Martín, J., Sanchez, C., Zapater, M. 2012). With this amount of energy being consumed by data centers, it is a cause for concern; consequently, data centers have an impact on the cost of business and negatively impact the environment via carbon footprint. As the carbon footprint grows, there is a need to realign the way businesses looks at managing their data centers. Several companies including Cisco, Dell, Google, HP, IBM, and Intel have announced efforts to reduce the environmental footprint of their product offerings (Chang et al., 2012). Large technology companies are starting to understand that being environmentally friendly is good for the wallet and good public relations. Understanding how to manage and build better data centers with a green foot print...
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...Green Data Center Mohit Ramchandani N 13853554 Kaushal Panchal ABSTRACT The word “green technologies” represent the issues that are being currently addressed as Global warming and the increase of toxic waste generated by electronic devices. The Data centers are energy hogs which, represent about 25 % of total fixed corporate assets, and 50 % of overall IT budgets. People feel that sustainability is the right and the smart thing to for designing and operating a productive data center, for betterment of our environment. The mission-critical operational efficiency and stability is boosted and not sacrificed by Greening a data. A green data center is provided, which comprises: a utility power source for providing utility power, a facility electrically connected to the utility power source, a renewable energy provider electrically connected to the facility for providing renewable energy, an IT equipment electrically connected to the renewable energy provider. A heat transfer system having a circulating coolant, wherein the heat transfer system captures and transfers taste heat generated by the computer IT equipment and transfers heat from the heated coolant to at least one of the utility power source, for the IT equipment. The power consumption of the green energy data center system is half that of a conventional data center, and green energy accounts for another half for driving. The data center is green and energy saving, and also the profit margin of the data center...
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...Abdelaziz BEN AZIZA PROFESSIONNAL EXPERIENCE TUNISIE TELECOM 2009 – to date : Data Center Services Manager (Technical Central Direction) * Secondary Data Center (220 Cabinets) and Disaster Recovery Site (88 Cabinets) * Preparation of the technical studies on the urbanization and the network cabling for the new data centers according to the ANSI/TIA-942 standard. * Design of the network architectures "Cloud Ready" and drafting of the technical specifications for the solution to be deployed, according to the reference model "Cisco Virtualized Multi-Tenant Data Center" (VMDC 2.2). * Data Center Interconnect design for virtualization needs, geoclustering and Disaster Recovery * Primary Data Center Network Infrastructure Project Manager (92 Cabinets) * Network cabling and urbanization design * Design and deployment of the network infrastructure following the business requirements in term of Colocation and Hosting and according to the Multi-Tenant consumption model. * Deployment of new technologies for the unified network and virtualization (FCoE VDC, VPC,VSAN…). * Procurement and following the infrastructure deployment of the computing, the storage environment and the virtualization solutions via VMware and Hyper V. * "Hosted Exchange" Project Manager * Validation of the HLD and the LLD and following the deployment and the test of the solution. * Definition and deployment of the solution for high availability, load balancing...
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...reduce data center power consumption? What value of PUE should data center managers strive for? * Power usage effectiveness (PUE) PUE=TOTAL FACILITY ENERGY/ IT EQUIPMENT ENERGY. * PUE is a measure of how efficiently a computer data center uses energy. Especially, how much energy is used by the computing equipment in contrast to cooling and other overhead. * The data center managers strive close to 1.0 PUE. 2. Describe the five methods recommended by Google for reducing power consumption. * Managing of the air flow (eliminate mixing hot and cool air), using CFD analysis by finding hot spots * Computer room air conditioning, increase air flow quality. * Meet locker curtains, separate hot and cool aisle. * Adjust thermostat, increase the temperature of cold aisle. * Utilize free cooling. * Optimize power distribution, uninterruptible power supply. 3. How much of the world’s global greenhouse gases are the result of computing? List several factors that will tend to retard or accelerate data center power consumption both globally and in the United States. About 2% of the worlds global greenhouse gasses are a result of computing. Of that 2%, the data center is responsible of about 15%. One method companies can use to conserve energy is to move data centers to places where it’s easier to power them. One example of this is moving to a place that has cooler temperatures. The lower temperature allows for the centers to not...
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...information and communications technology. This includes technology for computing and mobile phones. List several factors that will tend to retard or accelerate data center power consumption both globally and in the United States. * Energy is a growing concern for data centers. * Advances in server equipment technologies and increased demand for computing power have increased load densities in the computer room, which in turn has caused corresponding increases in data center power consumption. The increased energy consumption in the data center is, simply put, an increased demand for computing power. * An increased need for network storage is also a factor. The trend toward increasing load density in the computer room is an exacerbating factor for the increase in data center energy consumption. This is a result of advances in semiconductor technologies that yield smaller chips and advances in server technologies. These together allow more computer technology to be packed into smaller physical spaces. * Heat generated by computer equipment must be removed from the area in order to prevent overheating, in order to avoid over-heating, increased computer load density results in increased heat density, which becomes the challenge for the HVAC equipment design. The design choices that Google says will lower data center power consumption are: * Measuring PUE * PUE = Total Facility Energy/IT Equipment Energy * It is how effectively they delivery cooling...
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...For inexpensive, efficient and rapid cluster deployment. Table of Contents What is Bitcoin Mining? ..................................................................................................................... 3 Industrial-Scale Bitcoin Mining of Today ............................................................................................ 3 Example #1: Cointerra TerraMiner IV Mining Cluster ...................................................................... 4 Example #2: ASICMiner Gen3 - Most Efficient Next-Gen Cluster..................................................... 4 Challenges of Industrial Mining .......................................................................................................... 5 Data Center Mining ........................................................................................................................ 5 Purpose Built Large-Scale Mining Facilities ................................................................................... 6 KnC Miner 10MW Facility 14,500m² (156,000 sq ft) .................................................................. 6 MegaBigPower 1.4MW Mine 1900m² (20,000 sq ft) .................................................................. 6 ASICMiner 500kW Immersion Cooling 30m² (300 sq ft).............................................................. 7 250kW IceDrill Mine ..................................................................................................................
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