Free Essay

Pfch Data Center Unification Project

In: Other Topics

Submitted By paulmenz
Words 1984
Pages 8
PFCH DC Unification Project
UNIX and Linux Advantages
UNIX has been the cornerstone for infrastructure for the past decade with popular flavors such as Solaris (Craig, 2012). UNIX is a proprietary brand typically run in large organizational infrastructure. However, many of the UNIX variants are open source that allow users to customize their distribution as they see fit and making copies to install in an unlimited number of machines. UNIX offers a highly stable operating system (OS) that is ideal for full multitasking capabilities while protecting memory to prevent interference with other users. The stability provides greater uptime for increased productivity and less downtime for crash recovery and troubleshooting (Montpelier Open Source, n.d.). UNIX has been the baseline for Internet services and growth where machines on network can operate as clients and servers.
Linux is a variant of UNIX and has established itself in the desktop, workstation, and increasingly in the server environments. A key benefit for Linux is the scope of freedom of distributions (distros) that provide many applications, freeware, and add-ons (Stanford University, 2004). Linux is extremely portability to a wide range of new and old machines. The majority of Linux variants are available free or at an economical price compared to Microsoft Windows. Linux is a very secure operating system and although it still can be prone to attacks, it inherently is more secure than Windows. Another huge benefit is the reliability of UNIX and Linux versions that can often run for months without the need to reboot.
UNIX and Linux Disadvantages
The learning curve for Command Line Interface (CLI) with many new users can be a hostile environment. CLI is predominantly designed for programmers (Craig, 2012). The GUI has revolutionized the computer industry for speed, ease of use, and features. Typing and syntax have been passed over in favor of enriched GUI environments in which typos are a minor inconvenience. UNIX requires an understanding of the main design features that deliver powerful utilities to make commands and programs interact with each other. The utilities can often be overwhelming for a novice.
Many of the Linux distributions have improved significantly in ease of use however; Windows is still much easier for the novice user. Linux has a large variety of available software programs and utilities but Windows has definitive advantage in applications, programs, and 3rd party support. Although Linux organizations and hardware manufacturers have made advancements for compatibility with hardware devices, there are still companies, (e.g., Intel, Adobe) that do not provide drivers and support.
Security
UNIX and Linux systems provide inherent security measures essential in meeting the Health Insurance Portability and Accountability Act (HIPAA) of 1996. Within the law there are stipulations on how an organization is to implement technical safeguards to prevent data loss or compromise. Linux and UNIX systems meet safeguards stipulated in HIPAA such as ensuring data integrity, preventing unauthorized changes, and data encryption. UNIX and Linux increase the ability in preventing unauthorized changes because of the inherent architecture of the system. In a three layered sphere approach (FIG 1), the Kernel is the core of the system and interacts with the hardware directly. FIG 1
The Applications, Utilities, and Shells (AUS) layer interacts with the Kernel and users. The users interact with the AUS layer. At no point does a user have direct access to the Kernel, which helps to prevent an unauthorized user access to the Kernel to make changes (Tenouk, 2012). Furthermore, using a Security Enhanced Linux (SELinux) version provides Application Isolation, which does not affect users or other programs (Ellias, 2011).
There is a function built into UNIX and Linux that ensure file integrity by creating a checksum on the original file for later comparison to validate data integrity. Another built-in utility digitally signs and encrypts e-mails, which provides data integrity and non-repudiation.
Administration
Administration for Linux and UNIX is generally regarded as an upgrade to other operating systems because its open source has broad support, and it is a highly customizable environment.
In an open system model such as Linux and UNIX, there are many documents and training available to system administrators to install and optimize the system. Linux and Unix operate on many hardware platforms. Installing packages as a super user is easier because the administrator does not have to log out and log back in as a different user. He or she can simply use a command that temporary elevates the permissions for a specific operation thereby saving time and money.
Support for Linux and UNIX can be found on the Internet, books, and commercial companies. Initial paid support will assist in building and combining the data centers. After the data center is operational, all support can be done in-house through the open community.
Administrators can customize the code to match the consolidated data centers configuration by writing command scripts or installing task specific applications. High customization is key to a high input and output data center.
Performance
Server Virtualization has become one of the most popular and widely deployed virtualization technologies. “In a survey of 2,600 technology decision makers in the U.S. and Europe, Forrester Consulting found that 53 percent of enterprises and 54 percent of SMEs have either implemented x86 server virtualization technology or will within the next 12 months” (Juniper Networks, Inc., 2011). These statistics support a return on investment (ROI) for organizations such as Patton-Fuller Community Hospital (PFCH) strategizing a migration to a virtualized environment.
The greatest benefits for migration to a virtualized environment support reducing operational and energy costs (Juniper Networks, Inc., 2011). The migration of physical servers over to virtual machines and consolidating them onto a few physical servers means lowering monthly power and cooling costs in the PFCH data center. This is accomplished with the deployment of high efficiency physical servers. The higher the efficiency of the server delivers more efficient resource utilization as server workloads are divided on a single machine.
Server Virtualization will deliver many advanced features for PFCH that support business continuity and increased uptime. Features that offer capabilities for live migration, storage migration, fault tolerance, high availability, and distributed resource scheduling (IBM Systems, 2012). The high availability of applications is vital to an organization; and virtual machines (VMs) can be restarted quickly on new hardware when physical servers fail. VMs can be simply migrated ahead of time when servers need to be shut down for service or upgrades. The ability to quickly and easily move a virtual machine from one server to another is perhaps one of the greatest single benefits of virtualization with far-reaching uses.
The implementation of the new virtual environment with many new enhanced features does present challenges for the IT (Information Technology) staffing. One of the biggest challenges virtualization presents is the difficulty of managing a virtual infrastructure layered over a physical infrastructure (IBM Systems, 2012). In virtualized environments, it can be difficult to identify clearly where services, applications, and data reside, and to understand how they all work together. An organization will need to monitor their virtual environment using application performance management tools to mitigate performance issues. Many application performance management tools give organizations the ability to understand when and why performance has degraded while offering solutions to improve the functionality. Application performance management will simplify the operations management of the virtualized environment and network infrastructure.
Another obstacle of virtualization will be convincing people to buy into the project. Upper management and key stakeholders need to be convinced that virtualization is an established practice, will save the organization money, and address future planning for the growth of the business.
Cost

There are tremendous benefits toward moving to a virtual environment, cost savings is one the main advantages. The obvious cost savings to Patton-Fuller Community Hospital (PFCH) is the decrease in physical hardware. This one benefit will save from the costly purchases and maintenance of numerous servers. Several platforms (e.g., Unix, Linux, and Windows) may exist on one virtual machine, thus reducing the numbers of separate servers. Not only is there a reduction in the physical reduction of servers, there is also a cost saving in power consumption. Fewer servers, translates to less cool air blown into the data center that lowers the monthly utility bill. A visualization transition will enable for each application to have its own "virtual server" and will prevent one application from disrupting other applications when upgrades or changes are made (Muehlberger, 2005). This benefit will lower the downtime that departments within the he hospital will experience if one server encounters problem. By shifting to a visualization environment, PFCH can easily improve the efficiency of its Data Center, in addition to lower its cost of ownership.
Resource Utilization A decision to migrate Patton-Fuller Community's Hospital data center from its current infrastructure to a visualized infrastructure will not only reduce costs but also will maximize resource utilization. Presently PFCH employs two independent data centers that use separate power circuits, uninterruptible power source (UPS), routing, and networking infrastructure. A virtualization implementation would minimize excess resources while increasing resource performance. Virtualization allows the separation of hardware from the application, this division provides for system configurations, monitoring, and management to be blended and automated across one data center (Wood, 2006). Using the IBM Z9EC’s Hypervisor feature, multiple operation platforms can run in separate virtual machines (VM) instances or sessions. Applications such as the Picture Archiving and Communication System (PACS) and the Health Information System (HIS) can run on their own independent VM instance although physically on one system. If one VM has a problem, it will not interrupt other VMs. To avoid possible downtime because of a problem with the IBM Z9EC, which contains multiple VS sessions, a failover system will mirror the primary IBM Z9EC. According to Microsoft’s Director, Ramnish Singh, “Virtualization is a key enabler for reducing both power and cooling requirements in data centers” (Singh, 2008, p.1). The unification of the two data centers into a homogenized data center will make better consumption of electrical power as there will be less equipment to power, less real estate to cool, and the staffing can be reduced or transferred to other areas.

Reference
Linux vs. Windows. (2012). Retrieved from Computer Hope: http://www.computerhope.com/issues/ch000575.htm
Benoit, K. (1998, October). Why I Use Linux. Retrieved from Ken Benoit: http://www.kenbenoit.net/pdfs/linuxreviewTPM.html
Craig, C. (2012, May). Advantages and Disadvantages of Linux. Retrieved from Renewable PCs: http://www.renewablepcs.com/about-linux/advantages-of-using-linux
Elias, S. (2011). Linux and UNIX Security Features. Retrieved from stuartellis: http://www.stuartellis.eu/articles/unix-security-features
IBM Systems. (2012). Server Virtualization. Retrieved from IBM: http://www-03.ibm.com/systems/virtualization/infrastructure/server/index.html
Juniper Networks, Inc. (2011, September). Solutions for Deploying Server Virtualization In Data Center Networks. Sunnyvale, CA.
Lowe, S. (2008). IT Cost Containment: The Power Benefits of Virtualization. Retrieved from Tech Republic: http://www.techrepublic.com/blog/tech-manager/it-cost-containment-the-power-benefits-of-virtualization/437
Montpelier Open Source. (n.d.). The Benefits of Open Source. Retrieved from Montpelier Open Source: http://www.montpelieropensource.com/benefits.htm
Muehlberger, B. (2005). Top 5 benefits of Server Virtualization. Retrieved from IT World: http://www.itworld.com/nls_windowsserver050411
Rubens, P. (2011). Server Virtualization Mega-trends. Retrieved from Server Watch: http://www.serverwatch.com/server-trends/predicting-2012-server-virtualization-mega-trends.html
Singh, R. (2012, November 15). Virtualization: Fueling Green Data Centers. Retrieved from http://msdn.microsoft.com/en-us/library/dd347164.aspx
Stanford University. (2004, August). Advantages and Disadvantages of Linux. Retrieved from Stanford University : http://pangea.stanford.edu/computing/unix/overview/advantages.php
Tenouk. (2012). UNIX/LINUX SECURITY FEATURES. Retrieved from from http://www.tenouk.com/linuxunixsecurityfeatures.htm
Wood, T. (2012, November 15). Profiling and Modeling Resource Usage of Virtualized Applications. Amherst, MA. Retrieved from http://seelab.ucsd.edu/virtualefficiency/related_papers/wood-middleware08.pdf…...

Similar Documents

Premium Essay

Data Center

...Google Data Center 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? Power Usage Effectiveness (PUE) is a measure to determine the energy efficiency of a data center. It is the ratio between the energy of the system and the energy of the IT equipment in the data center. TOTAL FACILITY ENERGY PUE = --------------------------------------- IT EQUIPMENT ENERGY It is the ratio of the energy supplied to the entire Data Center and the energy consumed by the IT equipment. Whether to feed the entire plant, we need twice the minimum required to own IT equipment, we have a PUE 2. It allows to calculate the efficiency of the power supply and cooling IT equipment.. A PUE of 2.0 means that for every watt of IT power, an additional watt is consumed to cool and distributes power to the IT equipment. A PUE of 1.0 is considered ideal. A closer PUE of 1.0 means that almost all the energy is used to compute. For use PUE to be effective, should be measured often. If you occasionally makes the information will not be realistic. Ideally, measured as quickly and frequently as every second way. The higher the frequency, the more significant the results. 2. Describe the five methods recommended by Google for reducing power consumption. • Measure Pue To manage the efficiency of a......

Words: 932 - Pages: 4

Free Essay

Best Practices Pada Implementasi Data Center

...Perancangan dan Perencanaan Data Center Dengan Mengacu kepada Best Practices PAPER INDIVIDU TOPIK-TOPIK LANJUTAN SISTEM INFORMASI Oleh M. RAESSAL DANANG S. 1301023525 09PAZ / 09 [pic] Binus University Jakarta 2013 Abstrak Perkembangan teknologi informasi yang demikian pesat telah mempengaruhi cara berkomunikasi sebuah organisasi. Kegunaan data center adalah sebagai tempat operasi infrastruktur jaringan yang mengakomodasi penggunaan infrastruktur untuk pertukaran data digital baik suara, teks, gambar, maupun multimedia melalui jaringan. Paper ilmiah ini ditulis untuk memberikan pengetahuan kepada pembaca mengenai perancangan data center yang paling baik yang sudah diimplementasikan didalam praktik bisnis yang ada. Metodologi yang digunakan dalam penulisan paper ilmiah ini adalah dengan menggunakan referensi dari buku dan jurnal ilmiah sebagai dasar penulisan. Hasil yang ingin dicapai dari penulisan paper ilmiah ini adalah informasi yang ada didalam paper ilmiah ini diharapkan dijadikan acuan dan memberikan alternatif didalam perancangan dan perencanaan pembuatan data center bagi perusahaan. Melihat keadaan yang ada saat ini tentang pembuatan data center yang dilakukan, masih terdapat banyak aspek – aspek penting yang kurang diperhatikan seperti pemilihan lokasi pembangunan, perancangan layout data center, pemilihan hardware dan yang lainnya. Dengan mengidentifikasi kelemahan – kelemahan yang......

Words: 5693 - Pages: 23

Premium Essay

Data Centers Flash Research

...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......

Words: 334 - Pages: 2

Premium Essay

Case: Google Data Center Efficiency Best Practices

...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......

Words: 1150 - Pages: 5

Premium Essay

Network Pfch

...Networking Project Patton-Fuller Web Portal Patton-Fuller has limited e-business compatibility with its local community through their Customer Management Relations. PFCH leverages CRM to enhance patient loyalty through the ability for patients to interface with the hospital directly through the Internet. Patient recommendations, complaints, and comments provide patient satisfaction reports to senior management in CRM tracking. For PFCH enhancements as indicated in part three of this series will include advertising of health awareness and education classes sponsored by PFCH. CRM systems will provide promotional events such as walk for health initiatives, and creating the ability to build relationships with current as well as future patients. PFCH will generate website pages that include discussion links to other sites such as Mayo Clinic Symptom Checker, WebMD® and other links on a variety of topics for health education. Chat rooms with various staff members participating in discussions can provide schedules for specific topics and open forum discussions. PFCH will maintain encryption as a critical security measure that is a requirement for security of patient data. The case of Patton-Fuller and the sensitivity of its network data make this consideration even more important. Web portals – other hospitals PFCH will consider the results of studies whereby engagement of patients include patient access to educational......

Words: 1610 - Pages: 7

Premium Essay

Green Data Centers

...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...

Words: 1764 - Pages: 8

Free Essay

Fairness in Data Center

...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......

Words: 1232 - Pages: 5

Premium Essay

Google Data Center Efficiency Best Practices

...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? PUE stands for Power Usage Effectiveness. It is the ratio of total facility energy to IT equipment energy. This measurement is important because it displays how effectively the company delivers power to the IT equipment. If the company is not delivering its energy effectively, they could incur a great deal of additional overhead costs. Companies want their PUE to equal or get close to 1.00. So, the PUE ratio would be 1.00/1.00=1. 2. Describe the five methods recommended by Google for reducing power consumption. 1). Measure PUE Reducing overhead by effectively distributing power and cooling. 2). Manage Airflow: Managing airflow is yet another way to reduce a data center’s energy load by reducing the mixing of hot and cold air. One way to measure this is through CFD (Computational Fluid Dynamics) which shows where “hot spots” are located and how the airflow is directed. 3). Adjust Thermostat: By increasing the temperature and reducing the amount of energy expended on air conditioning, Google saves thousands of dollars annually. Even just increasing the temperature by a few degrees makes a huge difference in annual energy consumption. 4). Utilize Free Cooling: Using ambient temperatures outside the data center to provide free cooling and thereby reducing energy consumption. ......

Words: 787 - Pages: 4

Premium Essay

Data Mining Group Project

...As a group, we chose Data Mining for our project and in specific, an organization very popular and well used, Facebook. Facebook was founded on February 4, 2004 and its mission or purpose was to provide a social media platform. There is not a subscription cost and the platform is freely available to anyone with an internet connection and email address. However, there are advertising tools which one can pay for to ensure your various posts reach more of an audience. For example, you can set up a page specifically to market T-shirts to people and if you want to ensure that many people see it, you can pay Facebook to “push” your post to the maximum amount of people who are likely to be interested in such a product. The services offered are: 1.Communication with friends and family 2.Advertising 3.Marketing 4.Sharing information We chose this organization because it is a very common and popular organization that most of us use and have interest in. Additionally, data mining has become something the general public is aware of because of people like Edward Snowden, formerly of the NSA, and Julian Assange of WikiLeaks. Data mining is the collection of numbers or just information in general. This information is collected for statistical purposes. The data that is collected is processed through mega computers. These computers sift through information and arrange it in a much easier to understand format. Data mining software is one of a number of......

Words: 400 - Pages: 2

Free Essay

Green Data Centers

...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......

Words: 1355 - Pages: 6

Free Essay

Data Center

......................................................................................................................... 7 2.2 Background ………………........................................................................................................................... 7 2.3 Objective .……………............................................................................................................................... 8 III – ACTIVITIES ………………..................................................................................................................... 8 3.1 Work-Related: ………………........................................................................................................................ 8 3.1.1 Analyzing the project ……………............................................................................................................ 8 3.1.2 Hypertext Markup Language (HTML) .................................................................................................. 9-10 3.1.3 Cascading StyleSheet (CSS) ....................................................................................................................... 11 3.1.4 Database designing ...……........................................................................................................................ 12 3.2 Other relevant activities …………................................................................................................................. 13 IV......

Words: 4470 - Pages: 18

Free Essay

Fred Housing Data Project

...ECON  2315  1:35-­‐3:15       Kyle  Ozuna   Macro  Theory  Second  Paper:  Housing  Market     Data  Sources:   Housing  Starts  -­‐  http://research.stlouisfed.org/fred2/series/HOUST   S&P  Case  Shiller  -­‐  http://www.econ.yale.edu/~shiller/data.htm   Housing  Supply  -­‐  http://research.stlouisfed.org/fred2/series/MSACSR     *Used  recessions  beginning  in  1970  since  the  FRED  housing  data  only  goes  back  to   1963  and  there  was  no  recession  between  1963-­‐1970   **  All  data  supplied  is  seasonally  adjusted       The  first  indicator  I  used  to  measure  the  housing  market  was  housing  starts,   the  beginning  of  new  residential  construction  projects.  When  compiling  the  data,  I   chose  to  compare  level  of  housing  starts  per  month  during  the  recoveries.  The   recovery  since  the  2009  recession  has  definitely  been  slower  than  that  of  previous   recessions  in  the  United  States.  For  starters,  the  level  of  housing  starts  in  the  2009   recovery  is  lower  than  that  of  any ......

Words: 582 - Pages: 3

Premium Essay

Green Data Center

...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......

Words: 4845 - Pages: 20

Free Essay

Business Statistics Data Project

...Business Statistics Group Project Restaurants Serving Times Red Lobster | 7 minutes | 16 minutes | 18 minutes | 21 minutes | 15 minutes | 14 minutes | Olive Garden | 12 minutes | 16 minutes | 14 minutes | 18 minutes | 15 minutes | 12 minutes | Logan’s Steakhouse | 9 minutes | 11 minutes | 10 minutes | 8 minutes | 13 minutes | 13 minutes | Ruth Chris Steakhouse | 16 minutes | 14 minutes | 20 minutes | 19 minutes | 10 minutes | 15 minutes | Foosackly’s | 2 minutes | 3 minutes | 1 min 45 sec | 2 minutes | 2 mins 30 secs | 2 minutes | Five Guys | 6 minutes | 4 minutes | 11 minutes | 9 minutes | 6 minutes | 4 minutes | Our group decided to research food service response times for our group project. We timed customers at 6 different restaurants: From the time they ordered their food till it was delivered. We also took note of the appearance of the restaurant, employee attitude and over-all cleanliness. Red Lobster and Olive Garden were chosen because of their similar styles of service, casual dining restaurants. Logan’s and Ruth Chris were chosen because they’re both steak-houses. Foosackly’s and Five Guys were chosen because of similar service styles, grab and go. Devon recorded the food service response times on Saturday March 24, 2012. His data was collected from 4:00 pm to 6:00 pm, at the Red Lobster on Airport Blvd in Mobile, Alabama. Devon noted that upon entering Red Lobster that a pleasant smell of butter biscuits was wafting in the lobby and he was......

Words: 1166 - Pages: 5

Free Essay

Pue Data Center Efficiency Measurement

...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......

Words: 1277 - Pages: 6