Relevant bibliographies by topics / Data center applications

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data center applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Data center applications"

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Tan, Xiao Long, Wen Bin Wang, and Yu Qin Yao. "Research of Network Virtualization in Data Center." Applied Mechanics and Materials 644-650 (September 2014): 2961–64. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2961.

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With the rapid grow of the volume of data and internet application, as an efficient and promising infrastructure, data center has been widely deployed .data center provide a variety of perform for network services, applications such as video stream, cloud compute and so on. All this services and applications call for volume, compute, bandwidth, and latency. Existing data centers lacks enough flexible so they provide poor support in QOS, deployability, manageability, and defense when facing attacks. Virtualized data centers are a good solution to these problems. Compared to existing data centers, virtualized data centers do better in resource utilization, scalability, and flexibility.
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Karamat Khan, Tehmina, Mohsin Tanveer, and Asadullah Shah. "Energy Efficiency in Virtualized Data Center." International Journal of Engineering & Technology 7, no. 4.15 (2018): 315. http://dx.doi.org/10.14419/ijet.v7i4.15.23019.

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Industrial and academic communities have been trying to get more computational power out of their investments. Data centers have recently received huge attention due to its increased business value and achievable scalability on public/private clouds. Infra-structure and applications of modern data center is being virtualized to achieve energy efficient operation on servers. Despite of data center advantages on performance, there is a tradeoff between power and performance especially with cloud data centers. Today, these cloud application-based organizations are facing many energy related challenges. In this paper, through survey it has been analyzed how virtualization and networking related challenges affects energy efficiency of data center with suggested optimization strategies.
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Chen, L., E. Hall, L. Theogarajan, and J. Bowers. "Photonic Switching for Data Center Applications." IEEE Photonics Journal 3, no. 5 (2011): 834–44. http://dx.doi.org/10.1109/jphot.2011.2166994.

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Batz, Thomas, Reinhard Herzog, Jon Summers, and Kym Watson. "IoT Workload Emulation for Data Centers." Open Research Europe 1 (March 24, 2021): 12. http://dx.doi.org/10.12688/openreseurope.13079.1.

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The Internet of Things (IoT) domain has been one of the fastest growing areas in the computer industry for the last few years. Consequently, IoT applications are becoming the dominant work load for many data centers. This has implications for the designers of data centers, as they need to meet their customers' requirements. Since it is not easy to use real applications for the design and test of data center setups, a tool is required to emulate real applications but is easy to configure, scale and deploy in a data center. This paper will introduce a simple but generic way to model the work load of typical IoT applications, in order to have a realistic and reproducible way to emulate IT loads for data centers. IoT application designers are in the process of harmonizing their approaches on how architectures should look, which building blocks are needed, and how they should interwork. While all IoT subdomains are diverse when it comes to the details, the architectural blueprints are becoming more and more aligned. These blueprints are called reference architectures and incorporate similar patterns for the underlying application primitives. This paper will introduce an approach to decompose IoT applications into such application primitives, and use them to emulate a workload as it would be created by the modeled application. The paper concludes with an example application of the IoT Workload Emulation in the BodenTypeDC experiment, where new cooling approaches for data centers have been tested under realistic work load conditions.
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Ding, Jie, Hai Yun Han, and Ai Hua Zhou. "A Data Placement Strategy for Data-Intensive Cloud Storage." Advanced Materials Research 354-355 (October 2011): 896–900. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.896.

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Data-Intensive applications in power systems often perform complex computations which always involve large amount of datasets. In a distributed environment, an application may needs several datasets located in different data centers which faces two challenges including the high cost of data movements between data centers and data dependencies within the same data centers. In this paper, a data placement strategy among and within data centers in a cloud environment is proposed. Datasets are placed in different centers by a clustering scheme based on the data dependencies. And within the center, data is partitioned and replicated using consistent hashing. Simulations show that the algorithm can effectively reduce the cost of data movements and perform a evenly data distribution.
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LI, YANGYANG, HONGBO WANG, JIANKANG DONG, JUNBO LI, and SHIDUAN CHENG. "Differentiated Bandwidth Guarantees for Cloud Data Centers." Journal of Interconnection Networks 14, no. 03 (2013): 1360002. http://dx.doi.org/10.1142/s0219265913600025.

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By means of virtualization, computing and storage resources are effectively multiplexed by different applications in cloud data centers. However, there lacks useful approaches to share the internal network resource of cloud data centers. Invalid network sharing not only degrade the performance of applications, but also affect the efficiency of data center operation. To guarantee network performance of applications and provide fine-grained service differentiation, in this paper, we propose a differentiated bandwidth guarantee scheme for data center networks. Utility functions are constructed according to the throughput and delay sensitive characteristics of different applications. Aiming to maximize the utility of all applications, the problem is formulated as a multi-objective optimization problem. We solve this problem using a heuristic algorithm: the elitist Non-Dominated Sorted Genetic Algorithm-II(NSGA-II), and we make a multi-attribute decision to refine the solutions. Extensive simulations are conducted to show that our scheme provides minimum band-width guarantees and achieves more fine-grained service differentiation than existing approaches. The simulation also verifies that the proposed mechanism is suitable for arbitrary data center architectures.
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Joshi, Shrijit. "Web Applications & Operating Cost of Data Center." International Journal in Foundations of Computer Science & Technology 2, no. 5 (2012): 1–15. http://dx.doi.org/10.5121/ijfcst.2012.2501.

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Fadaeefath Abadi, Mostafa, Fariborz Haghighat, and Fuzhan Nasiri. "Data center maintenance: applications and future research directions." Facilities 38, no. 9/10 (2020): 691–714. http://dx.doi.org/10.1108/f-09-2019-0104.

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Purpose One of the most critical infrastructures is a data center (DC) because of it having many servers, computers and other equipment. DCs provide online services for various companies in the information technology (IT) industry. DC facilities should provide reliable online services while addressing the required quality and performance level considering maximum reliability and availability. The purpose of this study is to represent and classify the main findings in this area and to identify the main research gaps and shortcomings from the perspective of research. Design/methodology/approach This paper provides an organized and systematic literature review focusing on topics regarding the operation and maintenance (O&M) management of DCs. Findings Although there are several studies on O&M management systems for industrial systems and facilities, a limited number of studies with few methods and models have focused on DCs so far and these facilities require more attention. This paper identifies the issues and challenges for DC buildings and facilities and provides a conclusion of the findings to highlight the main research limitations for discovering new potential methods as future research opportunities. Research limitations/implications The paper has highlighted the main practical issues of DCs in terms of maintenance management. Several research works have been discussed specifically for DC’s maintenance, which makes this paper a credible source for researchers, maintenance managers and companies involved in the area of DC. Because several of the reviewed literature were based on real case studies, decision-makers in the DC maintenance sector can take advantage of new research on maintenance scheduling to reduce the costs of maintenance. Originality/value The paper has presented a comprehensive list of frequent keywords in recent publications related to O&M management for DCs. It has provided a categorized list of publications based on by their topic, methodology and case study. Because this paper has discussed research works specifically for DC’s maintenance, it is a credible source for researchers, maintenance managers and companies involved in the area of DCs.
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Archer, Aaron, Kevin Aydin, Mohammad Hossein Bateni, et al. "Cache-aware load balancing of data center applications." Proceedings of the VLDB Endowment 12, no. 6 (2019): 709–23. http://dx.doi.org/10.14778/3311880.3311887.

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Aguilera, Marcos K. "Tutorial on geo-replication in data center applications." ACM SIGMETRICS Performance Evaluation Review 41, no. 1 (2013): 385–86. http://dx.doi.org/10.1145/2494232.2465768.

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Dissertations / Theses on the topic "Data center applications"

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Bjarnadóttir, Margrét Vilborg. "Data-driven approach to health care : applications using claims data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45946.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.<br>Includes bibliographical references (p. 123-130).<br>Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data can be utilized in three important areas of health care and medicine and apply our methods to a real claims database containing information of over two million health plan members. First, we develop forecasting models for health care costs that outperform previous results. Secondly, through examples we demonstrate how large-scale databases and advanced clustering algorithms can lead to discovery of medical knowledge. Lastly, we build a mathematical framework for a real-time drug surveillance system, and demonstrate with real data that side effects can be discovered faster than with the current post-marketing surveillance system.<br>by Margrét Vilborg Bjarnadóttir.<br>Ph.D.
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Uichanco, Joline Ann Villaranda. "Data-driven optimization and analytics for operations management applications." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85695.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2013.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 163-166).<br>In this thesis, we study data-driven decision making in operation management contexts, with a focus on both theoretical and practical aspects. The first part of the thesis analyzes the well-known newsvendor model but under the assumption that, even though demand is stochastic, its probability distribution is not part of the input. Instead, the only information available is a set of independent samples drawn from the demand distribution. We analyze the well-known sample average approximation (SAA) approach, and obtain new tight analytical bounds on the accuracy of the SAA solution. Unlike previous work, these bounds match the empirical performance of SAA observed in extensive computational experiments. Our analysis reveals that a distribution's weighted mean spread (WMS) impacts SAA accuracy. Furthermore, we are able to derive distribution parametric free bound on SAA accuracy for log-concave distributions through an innovative optimization-based analysis which minimizes WMS over the distribution family. In the second part of the thesis, we use spread information to introduce new families of demand distributions under the minimax regret framework. We propose order policies that require only a distribution's mean and spread information. These policies have several attractive properties. First, they take the form of simple closed-form expressions. Second, we can quantify an upper bound on the resulting regret. Third, under an environment of high profit margins, they are provably near-optimal under mild technical assumptions on the failure rate of the demand distribution. And finally, the information that they require is easy to estimate with data. We show in extensive numerical simulations that when profit margins are high, even if the information in our policy is estimated from (sometimes few) samples, they often manage to capture at least 99% of the optimal expected profit. The third part of the thesis describes both applied and analytical work in collaboration with a large multi-state gas utility. We address a major operational resource allocation problem in which some of the jobs are scheduled and known in advance, and some are unpredictable and have to be addressed as they appear. We employ a novel decomposition approach that solves the problem in two phases. The first is a job scheduling phase, where regular jobs are scheduled over a time horizon. The second is a crew assignment phase, which assigns jobs to maintenance crews under a stochastic number of future emergencies. We propose heuristics for both phases using linear programming relaxation and list scheduling. Using our models, we develop a decision support tool for the utility which is currently being piloted in one of the company's sites. Based on the utility's data, we project that the tool will result in 55% reduction in overtime hours.<br>by Joline Ann Villaranda Uichanco.<br>Ph. D.
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Pawlowski, Colin. "Machine learning for problems with missing and uncertain data with applications to personalized medicine." Thesis, Massachusetts Institute of Technology, 2019.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 205-215).<br>When we try to apply statistical learning in real-world applications, we frequently encounter data which include missing and uncertain values. This thesis explores the problem of learning from missing and uncertain data with a focus on applications in personalized medicine. In the first chapter, we present a framework for classification when data is uncertain that is based upon robust optimization. We show that adding robustness in both the features and labels results in tractable optimization problems for three widely used classification methods: support vector machines, logistic regression, and decision trees. Through experiments on 75 benchmark data sets, we characterize the learning tasks for which adding robustness provides the most value. In the second chapter, we develop a family of methods for missing data imputation based upon predictive methods and formal optimization.<br>We present formulations for models based on K-nearest neighbors, support vector machines, and decision trees, and we develop an algorithm OptImpute to find high quality solutions which scales to large data sets. In experiments on 84 benchmark data sets, we show that OptImpute outperforms state-of-the-art methods in both imputation accuracy and performance on downstream tasks. In the third chapter, we develop MedImpute, an extension of OptImpute specialized for imputing missing values in multivariate panel data. This method is tailored for data sets that have multiple observations of the same individual at different points in time. In experiments on the Framingham Heart Study and Dana Farber Cancer Institute electronic health record data, we demonstrate that MedImpute improves the accuracy of models predicting 10-year risk of stroke and 60-day risk of mortality for late-stage cancer patients.<br>In the fourth chapter, we develop a method for tensor completion which leverages noisy side information available on the rows and/or columns of the tensor. We apply this method to the task of predicting anti-cancer drug response at particular dosages. We demonstrate significant gains in out-of-sample accuracy filling in missing values on two large-scale anticancer drug screening data sets with genomic side information.<br>by Colin Pawlowski.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Dulloor, Subramanya R. "Systems and applications for persistent memory." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54396.

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Performance-hungry data center applications demand increasingly higher performance from their storage in addition to larger capacity memory at lower cost. While the existing storage technologies (e.g., HDD and flash-based SSD) are limited in their performance, the most prevalent memory technology (DRAM) is unable to address the capacity and cost requirements of these applications. Emerging byte-addressable, non-volatile memory technologies (such as PCM and RRAM) offer performance within an order of magnitude of DRAM, prompting their inclusion in the processor memory subsystem. Such load/store accessible non-volatile or persistent memory (referred to as NVM or PM) introduces an interesting new tier that bridges the performance gap between DRAM and PM, and serves the role of fast storage or slower memory. However, PM has several implications on system design, both hardware and software: (i) the hardware caching mechanisms, while necessary for acceptable performance, complicate the ordering and durability of stores to PM, (ii) the high performance of PM (compared to NAND) and the fact that it is byte-addressable necessitate rethinking of the system software to manage PM and the interfaces to expose PM to the applications, and (iii) the future memory-based applications that will likely employ systems coupling PM with DRAM (for cost and capacity reasons) must be extremely conscious of the performance characteristics of PM and the challenges of using fast vs. slow memory in ways that best meet their performance demands. The key contribution of our research is a set of technologies that addresses these challenges in a bottom-up fashion. Since the real hardware is not yet available, we first implement a hardware emulator that can faithfully emulate the relative performance characteristics of DRAM and PM in a system with separate DRAM and emulated PM regions. We use this emulator to perform all of our evaluations. Next we explore system software support to enable low-overhead PM access by new and legacy applications. Towards this end, we implement PMFS, an optimized light-weight POSIX file system that exploits PM's byte-addressability to avoid overheads of block-oriented storage and enable direct PM access by applications (with memory-mapped I/O). To provide strong consistency guarantees, PMFS requires only a simple hardware primitive that provides software enforceable guarantees of durability and ordering of stores to PM. We demonstrate that PMFS achieves significant (up to an order of magnitude) gains over traditional file systems (such as ext4) on a RAMDISK-like PM block device. Finally, we address the problem of designing memory-based applications for systems with both DRAM and PM by extending our system software to manage both the tiers. We demonstrate for several representative large in-memory applications that it is possible to use a small amount of fast DRAM and large amounts of slower PM without a proportional impact to an application's performance, provided the placement of data structures is done in a careful fashion. To simplify the application programming, we implement a set of libraries and automatic tools (called X-Mem) that enables programmers to achieve optimal data placement with minimal effort on their part. Finally, we demonstrate the potentially large benefits of application-driven memory tiering with X-Mem across a range of applications.
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Tomosk, Steven. "Applications of Traditional and Concentrated Photovoltaic Technologies for Reducing Electricity Costs at Ontario Data Centers." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34324.

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Demand for cloud-based applications and remote digital storage is increasing. As such, data center capacities will need to expand to support this shift in computing. Data centers consume substantial amounts of electricity in support of their operations, and larger data centers will mean that more energy is consumed. To reduce electricity bills, data center operators must explore innovative options, and this thesis proposes leveraging solar technology for this purpose. Three different photovoltaic and concentrated photovoltaic costing scenarios, as well as four different Ontario-based electricity tariff scenarios – time-of-use, feed-in tariff, power purchase agreement, and a peak-dependent electricity charge involving the province’s global adjustment fee – will be used to determine if there is a business case for using solar technology at data centers in Ontario to reduce energy costs. Discounted net present value, return on investment, internal rate of return, and levelized cost of electricity will be calculated to determine the economic viability of solar for this application, and both deterministic and stochastic results will be provided. Sensitivity of the four metrics to variability from energy yield, operations and maintenance costs, as well as system prices will also be presented.
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Rajagopalan, Ravishankar. "Response-Probability Model Analysis Plots With Applications in Engineering and Clinical Research." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238137483.

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Hangwei, Qian. "Dynamic Resource Management of Cloud-Hosted Internet Applications." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1338317801.

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Bruce, Stephanie L. "Models for serially correlated, over or underdispersed, unequally spaced longitudinal count data with applications to asthma inhaler use /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences, Dept. of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 57-59). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
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Singh-Corcoran, Nathalie Usha. "Revising the Writing Center: A Reconsideration of Writing Center Work." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1226%5F1%5Fm.pdf&type=application/pdf.

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HEINERUD, VICTOR, and ANDRÉ SAHLSTEN. "Natural Refrigerants in Data Center Cooling with Thermosiphon Application." Thesis, KTH, Energiteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192880.

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Ever since the computer was invented, there has been a need of data storage and the demand has strictly grown since. This has resulted in a huge amount of data centers and the trend has shown no signs of changing. The data centers are powered by electricity and in 2010 the electricity consumption for data centers stood for 1.3% of the world’s electricity usage. The most energy consuming part of a data center is the servers themselves, but the second largest energy consuming part is the cooling system which, in a normal data center, stands for two fifths of the energy usage. Besides the energy consumption, the cooling systems are in most cases a cooling machine using HCFC and HFC refrigerants. These refrigerants are all bad for the environment since HCFCs have high ODP and GWP values and HFCs have high GWP values. The purposes of this work is: A) Find a way to make the cooling systems more efficient. Previous work has shown that using free cooling from the ambient air is an effective method of reducing the yearly electricity demand. Further the systems use a two-phase thermosiphon to move heat from the servers to the ambient, which means that there is no need of pumping power. B) Find solutions using natural refrigerants that have no ODP and very low or zero GWP. C) Evaluated if there is a possibility to recover the waste heat from the data center to e.g. an office building. This work contains two systems being mathematically modeled with the software Engineering Equation Solver: a direct R744 system and an indirect system running with R290 and R744. Both systems are using a thermosiphon application, connected to a condenser, to use free cooling up to a certain set point temperature and the rest is covered with a vapor compression cycle. These systems are then matched to temperature profiles for five cities, Stockholm, Paris, Phoenix, Tokyo and Madrid, to see how many hours of the year are covered by free cooling. The systems are then evaluated considering both energy consumption and cost. To be able to compare these systems to a present cooling system, a reference system is modeled which uses R22 as refrigerant, that is the most commonly used refrigerant in the world today for the data center cooling application. The results show that a direct R744 system or an indirect system with R290/R744 with a thermosiphon application have both energy and economical savings compared to the reference system. The energy savings are up to 88% and the total annual cost savings are up to 69%. The Power Usage Effectiveness is reduced with up to 6% and up to 8% if only cooling is considered. These savings are for an optimized condenser with a 2000 m2 fin area and 6 fans with a set point temperature of 22°C. The indirect R290/R744 system is the best in all cities considering energy efficiency. Both systems are also well suited for use with heat recovery. The Seasonal Performance Factor for the heat recovery is between 8.3 and 15.2, which is a consequence of the high evaporation temperature and low supply temperature to the heating system.<br>Ända sedan datorn uppfanns har det funnits ett behov av datalagring, ett behov som ökat stadigt. Detta har resulterat i en stor mängd datacenter och det finns inget som tyder på att trenden kommer ändras. Datacenter drivs av el och under 2010 var elförbrukningen för datacenter 1.3% av världens totala elanvändning. Den mest energikrävande delen av ett datacenter är de faktiska servrarna och den näst största energikrävande delen är kylsystemet, vilket i ett normalt datacenter står för två femtedelar av energianvändningen. Förutom energiförbrukningen, är kylsystemen i de flesta fall, en kylmaskin med HCFC- och HFC-köldmedier. Dessa köldmedier är dåliga för miljön eftersom HCFC har högt ODP- och GWP-värden och HFC har höga GWP-värden. Syftet med detta arbete är: A) Hitta ett sätt att göra kylsystem effektivare. Tidigare arbeten har visat att användning av frikyla från den omgivande luften är en effektiv metod för att minska det årliga elbehovet. Det finns även system som använder en två-fas termosifon för att flytta värme från servrar till den omgivande luften, vilket innebär att det inte behövs några pumpar. B) Hitta systemlösningar med naturliga köldmedier som har noll ODP och mycket låg eller noll GWP. C) Utvärdera om det finns möjlighet att återvinna spillvärme från ett datacenter till exempelvis en kontorsbyggnad. Detta arbete innehåller två system vilka modelleras matematiskt med hjälp av programvaran Engineering Equation Solver: ett direkt R744-system och ett indirekt system som använder R290 och R744. Båda systemen använder en termosifonslinga som är ansluten till en kondensor för att kunna använda frikyla upp till en viss brytpunktstemperatur och det resterande behovet täcks av en kylmaskin. Dessa system matchas sedan mot temperaturprofiler för fem städer, Stockholm, Paris, Phoenix, Tokyo och Madrid, för att se hur många timmar av året som frikylakan användas. Systemen utvärderas sedan utifrån både energiförbrukning och kostnad. För att kunna jämföra dessa system mot ett befintligt kylsystem modelleras ett referenssystem med R22 som kylmedel, vilket är det vanligaste köldmediet i världen idag för kylning av datacenter. Resultaten visar att ett direkt R744-system eller ett indirekt system med R290/R744, båda med en termosifonslinga, är både energieffektivare och ekonomiskt fördelaktigare jämfört med referenssystemet. Energibesparingen uppgår till 88% och de totala årliga kostnadsbesparingarna uppgår till 69%. Power Usage Effectiveness värdet reduceras med upp till 6% och om enbart hänsyn tas till nedkylning, upp till 8%. Dessa besparingar är för en optimerad kondensor med en flänsyta på 2000 m2 samt 6 stycken fläktar då kondensatorn har en brytpunktstemperatur på 22° C. Det indirekta R290/R744-systemet är det bästa i alla städer vad gäller energieffektivitet. Båda systemen är också väl lämpade för användning med värmeåtervinning. Årsvärmefaktorn för värmeåtervinningen är mellan 8.3 och 15.2, vilket är en följd av den höga förångningstemperaturen och den låga framledningstemperaturen till värmesystemet.
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Books on the topic "Data center applications"

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International Conference on Computational Electromagnetics and Its Applications (1999 Beijing, China). 1999 International Conference on Computational Electromagnetics and Its Applications proceedings: (ICCEA '99) : [Media Center Hotel, Beijing, China, November 1-4, 1999]. Publishing House of electronics Industry, 1999.

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Easley, Wesley C. Packet radio data link applications in the NASA Langley Research Center Transport Systems Research Vehicle. National Aeronautics and Space Administration, Langley Research Center, 1994.

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International Symposium on the Forensic Applications of Digital Image Processing (1986 Quantico, Va.). Proceedings of the International Symposium on the Forensic Applications of Digital Image Processing: June 16-20, Forensic Science Research and Training Center, FBI Academy, Quantico, Virginia. The Laboratory Division, Federal Bureau of Investigation, United States Department of Justice, 1986.

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Center), Goddard Conference on Space Applications of Artificial Intelligence (7th 1992 Goddard Space Flight. 1992 Goddard Conference on Space Applications of Artificial Intelligence: Proceedings of a conference held at Goddard Space Flight Center, Greenbelt, Maryland, May 5-6, 1992. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (2001 Foros, Ukraine). Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems--Technology and Applications: IDAACS'2001 : resort center FOROS, Foros, Crimea, Ukraine, July 1-4, 2001. IEEE Service Center, 2001.

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NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications (1991 Goddard Space Flight Center). NSSDC Conference on Mass Storage Systems and Technologies for Space and Earth Science Applications: Proceedings of a conference held at NASA Goddard Space Flight Center. Greenbelt, Maryland, July 23-25, 1991. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Salas, Manuel D. Computational Aerosciences in the 21st Century: Proceedings of the ICASE/LaRC/NSF/ARO Workshop, conducted by the Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, The National Science Foundation and the Army Research Office, April 22-24, 1998. Springer Netherlands, 2000.

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Goddard Conference on Space Applications of Artificial Intelligence (1989 Greenbelt, Md.). 1989 Goddard Conference on Space Applications of Artificial Intelligence: Proceedings of a conference sponsored by NASA Goddard Space Flight Center, Mission Operations and Data Systems Directorate, Greenbelt, Maryland, and held at NASA Goddard Space Flight Center, Greenbelt, Maryland, May 16-17 1989. National Aeronautics and Space Adminstration, 1989.

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Rash, James L. 1989 Goddard Conference on Space Applications of Artificial Intelligence: Proceedings of a conference sponsored by NASA Goddard Space Flight Center, Mission Operations and Data Systems Directorate, Greenbelt, Maryland, and held at NASA Goddard Space Flight Center, Greenbelt, Maryland, May 16-17, 1989. Goddard Space Flight Center, 1989.

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Hal, Berghel, Talburt John, and Roach David, eds. Proceedings of the 1990 Symposium on Applied Computing: April 5-6, 1990, University of Arkansas Conference Center, Fayetteville, Arkansas. IEEE Computer Society Press, 1990.

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Book chapters on the topic "Data center applications"

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Seymour, Mark. "Computational Fluid Dynamics Applications in Data Centers." In Data Center Handbook. John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118937563.ch17.

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Shi, Xiaohua, Zhuoyuan Xing, and Hongtao Lu. "Data Quality Management in Institutional Research Output Data Center." In Database Systems for Advanced Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18590-9_10.

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Pereira, Nuno, Stefano Tennina, and Eduardo Tovar. "Building a Microscope for the Data Center." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31869-6_54.

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Shen, Ruimin, Fan Yang, and Peng Han. "Data Analysis Center Based on E-Learning Platform." In The Internet Challenge: Technology and Applications. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0494-7_3.

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Kortas, Nawel, and Habib Youssef. "MVMM: Data Center Scheduler Algorithm for Virtual Machine Migration." In Advanced Information Networking and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15032-7_87.

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Chen, Yun, Weihong Chen, Yao Hu, Lianming Zhang, and Yehua Wei. "Dynamic Load Balancing for Software-Defined Data Center Networks." In Collaborate Computing: Networking, Applications and Worksharing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59288-6_26.

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Figueiredo, Rafael Carvalho, André L. N. Souza, Stenio M. Ranzini, and Andrea Chiuchiarelli. "Multilevel Pulse Amplitude Modulation Transmissions for Data Center Applications." In Optical Communications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97187-2_1.

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Lozano-Rizk, J. E., J. I. Nieto-Hipolito, R. Rivera-Rodriguez, et al. "Software Defined Data Center for High Performance Computing Applications." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-38043-4_3.

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Wang, Chengwei, Infantdani Abel Rayan, Greg Eisenhauer, et al. "VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35170-9_7.

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Bellavista, Paolo, Antonio Corradi, and Andrea Reale. "Quality-of-Service in Data Center Stream Processing for Smart City Applications." In Handbook on Data Centers. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2092-1_35.

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Conference papers on the topic "Data center applications"

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Zhu, Benyuan. "SDM Fibers for Data Center Applications." In Optical Fiber Communication Conference. OSA, 2019. http://dx.doi.org/10.1364/ofc.2019.m1f.4.

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Schmidtke, Katharine. "Hyperscale data center applications of optoelectronics." In Metro and Data Center Optical Networks and Short-Reach Links II, edited by Madeleine Glick, Atul K. Srivastava, and Youichi Akasaka. SPIE, 2019. http://dx.doi.org/10.1117/12.2518569.

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Li, Ming-Jun, Xin Chen, Jason E. Hurley, Jeffery S. Stone, Aramais R. Zakharian, and Doug Coleman. "Universal fibers for data center applications." In SPIE OPTO, edited by Atul K. Srivastava. SPIE, 2017. http://dx.doi.org/10.1117/12.2257272.

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Woodruff, Jackson, Andrew W. Moore, and Noa Zilberman. "Measuring Burstiness in Data Center Applications." In BS '19: 2019 Workshop on Buffer Sizing. ACM, 2019. http://dx.doi.org/10.1145/3375235.3375240.

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Qian, Hangwei, and Michael Rabinovich. "Mega Data Center for Elastic Internet Applications." In 2014 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2014. http://dx.doi.org/10.1109/ipdpsw.2014.99.

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Shenoy, Prashant. "Automated modeling of complex data center applications." In the ACM/SPEC international conference. ACM Press, 2013. http://dx.doi.org/10.1145/2479871.2479876.

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Bowers, John E., and Eric Hall. "Silicon photonic switching for data center applications." In 2011 IEEE Winter Topicals (WTM). IEEE, 2011. http://dx.doi.org/10.1109/photwtm.2011.5730081.

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Healey, Christopher M., James W. VanGilder, Zachary R. Sheffer, and Xuanhang Simon Zhang. "Potential-Flow Modeling for Data Center Applications." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52136.

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Potential-flow-based airflow and heat transfer models have been proposed as a computationally efficient alternative to the Navier-Stokes Equations for predicting the three-dimensional flow field in data center applications. These models are simple, solve quickly, and capture much of the fluid flow physics, but ignore buoyancy and frictional effects, i.e., rotationality, turbulence, and wall friction. However, a comprehensive comparison of the efficiency and accuracy of these methods versus more sophisticated tools, like CFD, is lacking. The main contribution of this paper is a study of the performance of potential-flow methods compared to CFD in eight layouts inspired by actual data center configurations. We demonstrate that potential-flow methods can be helpful in data center design and management applications.
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Weerasinghe, Jagath, Raphael Polig, Francois Abel, and Christoph Hagleitner. "Network-attached FPGAs for data center applications." In 2016 International Conference on Field-Programmable Technology (FPT). IEEE, 2016. http://dx.doi.org/10.1109/fpt.2016.7929186.

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Li, Ming-Jun. "Novel optical fibers for data center applications." In SPIE OPTO, edited by Benjamin B. Dingel and Katsutoshi Tsukamoto. SPIE, 2016. http://dx.doi.org/10.1117/12.2217734.

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Reports on the topic "Data center applications"

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Ha, Kiryong, Padmanabhan Pillai, Grace Lewis, et al. The Impact of Mobile Multimedia Applications on Data Center Consolidation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada570609.

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Saur, Genevieve, Vanessa Arjona, Amberlie Clutterbuck, and Eric Parker. Hydrogen and Fuel Cells for Data Center Applications Project Meeting: Workshop Report. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1578270.

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Mark A. Johnson. Recovery Act: High-Efficiency, Wideband Three-Phase Rectifiers and Adaptive Rectifier Management for Telecomm Central Office and Large Data Center Applications. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1044600.

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Rahmat Aryaeinejad, Jerald D. Cole, Mark W. Drigert, et al. Nuclear Data Measurements for 21st Century Reactor Physics Applications. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/910625.

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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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Haehnel, Robert, Scott Christensen, J. Whitlow, et al. A computational prototyping environment interface for DoD CREATE™-AV Helios simulations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40582.

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Computational Prototyping Environment (CPE) is a web-based portal designed to simplify running Department of Defense (DoD) modeling and simulation tools on the DoD Supercomputing Resource Center’s (DSRC) High Performance Computing (HPC) systems. The first of these tools to be deployed in the CPE is an application (app) to conduct parametric studies and view results using the CREATE-AV Helios CFD software. Initial capability includes hover (collective sweep) and forward flight (speed sweep) performance calculations. The CPE Helios app allows for job submission to a DSRC’s HPC system and for the viewing of results created by Helios, i.e., time series and volumetric data. Example data input and results viewing are presented. Planned future functionality is also outlined.
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Brophy, Kenny, and Alison Sheridan, eds. Neolithic Scotland: ScARF Panel Report. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.06.2012.196.

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The main recommendations of the Panel report can be summarised as follows: The Overall Picture: more needs to be understood about the process of acculturation of indigenous communities; about the Atlantic, Breton strand of Neolithisation; about the ‘how and why’ of the spread of Grooved Ware use and its associated practices and traditions; and about reactions to Continental Beaker novelties which appeared from the 25th century. The Detailed Picture: Our understanding of developments in different parts of Scotland is very uneven, with Shetland and the north-west mainland being in particular need of targeted research. Also, here and elsewhere in Scotland, the chronology of developments needs to be clarified, especially as regards developments in the Hebrides. Lifeways and Lifestyles: Research needs to be directed towards filling the substantial gaps in our understanding of: i) subsistence strategies; ii) landscape use (including issues of population size and distribution); iii) environmental change and its consequences – and in particular issues of sea level rise, peat formation and woodland regeneration; and iv) the nature and organisation of the places where people lived; and to track changes over time in all of these. Material Culture and Use of Resources: In addition to fine-tuning our characterisation of material culture and resource use (and its changes over the course of the Neolithic), we need to apply a wider range of analytical approaches in order to discover more about manufacture and use.Some basic questions still need to be addressed (e.g. the chronology of felsite use in Shetland; what kind of pottery was in use, c 3000–2500, in areas where Grooved Ware was not used, etc.) and are outlined in the relevant section of the document. Our knowledge of organic artefacts is very limited, so research in waterlogged contexts is desirable. Identity, Society, Belief Systems: Basic questions about the organisation of society need to be addressed: are we dealing with communities that started out as egalitarian, but (in some regions) became socially differentiated? Can we identify acculturated indigenous people? How much mobility, and what kind of mobility, was there at different times during the Neolithic? And our chronology of certain monument types and key sites (including the Ring of Brodgar, despite its recent excavation) requires to be clarified, especially since we now know that certain types of monument (including Clava cairns) were not built during the Neolithic. The way in which certain types of site (e.g. large palisaded enclosures) were used remains to be clarified. Research and methodological issues: There is still much ignorance of the results of past and current research, so more effective means of dissemination are required. Basic inventory information (e.g. the Scottish Human Remains Database) needs to be compiled, and Canmore and museum database information needs to be updated and expanded – and, where not already available online, placed online, preferably with a Scottish Neolithic e-hub that directs the enquirer to all the available sources of information. The Historic Scotland on-line radiocarbon date inventory needs to be resurrected and kept up to date. Under-used resources, including the rich aerial photography archive in the NMRS, need to have their potential fully exploited. Multi-disciplinary, collaborative research (and the application of GIS modelling to spatial data in order to process the results) is vital if we are to escape from the current ‘silo’ approach and address key research questions from a range of perspectives; and awareness of relevant research outside Scotland is essential if we are to avoid reinventing the wheel. Our perspective needs to encompass multi-scale approaches, so that ScARF Neolithic Panel Report iv developments within Scotland can be understood at a local, regional and wider level. Most importantly, the right questions need to be framed, and the right research strategies need to be developed, in order to extract the maximum amount of information about the Scottish Neolithic.
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