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Artykuły w czasopismach na temat "Heterogeneous data center"

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Garg, Siddharth, Shreyas Sundaram, and Hiren D. Patel. "Robust heterogeneous data center design." ACM SIGMETRICS Performance Evaluation Review 39, no. 3 (2011): 28–30. http://dx.doi.org/10.1145/2160803.2160850.

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Yang, Jing Bo, Shu Huang, and Pan Jiang. "Research on Distributed Heterogeneous Data Storage Algorithm in Cloud Computing Data Center." Applied Mechanics and Materials 624 (August 2014): 553–56. http://dx.doi.org/10.4028/www.scientific.net/amm.624.553.

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With the development of cloud computing, data center is also improved. cloud computing data center contains hundreds, even million of servers or PCs. It has many heterogeneous resources. Data center is a key to promise high scalability and resource usage of cloud computing. In addition, replica is introduced into data center, which is an important method to improve availability and performance. In this paper, the research on distributed storage algorithm based on the cloud computing. This algorithm uses the design of system storage level indicators within classification of massive data storage
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Malebary, Sharaf, Sami Alesawi, and Hao Che. "Tail Prediction for Heterogeneous Data Center Clusters." Processes 11, no. 2 (2023): 407. http://dx.doi.org/10.3390/pr11020407.

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Service providers need to meet their service level objectives (SLOs) to ensure better client experiences. Predicting tail sojourn times of applications is an essential step to combat long tail latency. Therefore, as an attempt to further unravel the power of our prediction model, new study scenarios for heterogeneous environments will be introduced in this research by using either of two methods: white- or black-box solutions. This research presents several techniques for modeling clusters of inhomogeneous nodes. Those techniques are recognized as heterogeneous fork-join queuing networks (HFJQ
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Bai, Wei-Hua, Jian-Qing Xi, Jia-Xian Zhu, and Shao-Wei Huang. "Performance Analysis of Heterogeneous Data Centers in Cloud Computing Using a Complex Queuing Model." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/980945.

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Performance evaluation of modern cloud data centers has attracted considerable research attention among both cloud providers and cloud customers. In this paper, we investigate the heterogeneity of modern data centers and the service process used in these heterogeneous data centers. Using queuing theory, we construct a complex queuing model composed of two concatenated queuing systems and present this as an analytical model for evaluating the performance of heterogeneous data centers. Based on this complex queuing model, we analyze the mean response time, the mean waiting time, and other import
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Zhang, Qian, Jingyao Li, Hongyao Zhao, et al. "Efficient Distributed Transaction Processing in Heterogeneous Networks." Proceedings of the VLDB Endowment 16, no. 6 (2023): 1372–85. http://dx.doi.org/10.14778/3583140.3583153.

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Countrywide and worldwide business, like gaming and social networks, drives the popularity of inter-data-center transactions. To support inter-data-center transaction processing and data center fault tolerance simultaneously, existing protocols suffer from significant performance degradation due to high-latency and unstable networks. In this paper, we propose RedT, a novel distributed transaction processing protocol that works in heterogeneous networks. In detail, nodes within a data center are inter-connected via the RDMA-capable network and nodes across data centers are inter-connected via T
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Li, Xin, Liangyuan Wang, Jemal H. Abawajy, Xiaolin Qin, Giovanni Pau, and Ilsun You. "Data-Intensive Task Scheduling for Heterogeneous Big Data Analytics in IoT System." Energies 13, no. 17 (2020): 4508. http://dx.doi.org/10.3390/en13174508.

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Efficient big data analysis is critical to support applications or services in Internet of Things (IoT) system, especially for the time-intensive services. Hence, the data center may host heterogeneous big data analysis tasks for multiple IoT systems. It is a challenging problem since the data centers usually need to schedule a large number of periodic or online tasks in a short time. In this paper, we investigate the heterogeneous task scheduling problem to reduce the global task execution time, which is also an efficient method to reduce energy consumption for data centers. We establish the
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Lin, Wei-Wei, Liang Tan, and James Z. Wang. "Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment." International Journal of Grid and High Performance Computing 6, no. 1 (2014): 63–76. http://dx.doi.org/10.4018/ijghpc.2014010104.

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Energy efficiency is one of the most important design considerations for a cloud data center. Recent approaches to the energy-efficient resource management for data centers usually model the problem as a bin packing problem with the goal of minimizing the number of physical machines (PMs) employed. However, minimizing the number of PMs may not necessarily minimize the energy consumption in a heterogeneous cloud environment. To address the problem, this paper models the resource allocation problem in a heterogeneous cloud data center as a constraint satisfaction problem (CSP). By solving this c
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Akbari, Abbas, Ahmad Khonsari, and Seyed Mohammad Ghoreyshi. "Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers." Energies 13, no. 11 (2020): 2880. http://dx.doi.org/10.3390/en13112880.

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In recent years, a large and growing body of literature has addressed the energy-efficient resource management problem in data centers. Due to the fact that cooling costs still remain the major portion of the total data center energy cost, thermal-aware resource management techniques have been employed to make additional energy savings. In this paper, we formulate the problem of minimizing the total energy consumption of a heterogeneous data center (MITEC) as a non-linear integer optimization problem. We consider both computing and cooling energy consumption and provide a thermal-aware Virtual
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Jiang, Tao, Huaxi Gu, Kun Wang, Xiaoshan Yu, and Yunfeng Lu. "BHyberCube: A MapReduce aware heterogeneous architecture for data center." Computer Science and Information Systems 14, no. 3 (2017): 611–27. http://dx.doi.org/10.2298/csis170202019t.

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Some applications, like MapReduce, ask for heterogeneous network in data center network. However, the traditional network topologies, like fat tree and BCube, are homogeneous. MapReduce is a distributed data processing application. In this paper, we propose a BHyberCube network (BHC), which is a new heterogeneous network for MapReduce. Heterogeneous nodes and scalability issues are addressed considering the implementation of MapReduce in the existing topologies. Mathematical model is established to demonstrate the procedure of building a BHC. Comparisons of BHC and other topologies show the go
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Li, Dan, Jing Zhu, Jianping Wu, Junjie Guan, and Ying Zhang. "Guaranteeing Heterogeneous Bandwidth Demand in Multitenant Data Center Networks." IEEE/ACM Transactions on Networking 23, no. 5 (2015): 1648–60. http://dx.doi.org/10.1109/tnet.2014.2341246.

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Rozprawy doktorskie na temat "Heterogeneous data center"

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Chen, Nai-Chi, and 陳乃驥. "The Queueing Model for Cloud Data Center with Heterogeneous Servers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/y9nnkw.

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碩士<br>國立中興大學<br>應用數學系所<br>106<br>Cloud computing is a significant trend of high-tech industry after Web 2.0. According to the demands from users of cloud computing, cloud administrator can quickly deploy the services based on quantifiable shared-resource by accessing the internet. Virtualization, virtual network, and virtual storage technology concretely actualize the characteristics of cloud computing, which are large-scale, infinite extensibility, and flexible usage. Due to the rapidly change of cloud applications, cloud data centers successively add CPU-based and GPU-based physical machines
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Chen, Hsin-Chen, and 陳昕辰. "Performance Evaluation of Cloud Data Centers with Provision and Heterogeneous Virtual Machine Requirements." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/vbkpx9.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>104<br>With the development of ICT industry, and the investment of cloud computing by enterprises in recent years, cloud computing has made rapid progress, and are widely used in various fields. Specifically, an Infrastructure as a service (IaaS) may provide different kinds of hardware resources to customers, e.g., CPU core, memory, disk space. More specifically, IaaS cloud providers offer customers with resources in the form of virtual machines (VMs), which are deployed on Physical Machines (PMs). In order to lower various management costs without violating Quality
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Chen, Chien-Hung, and 陳建宏. "Guarantee and Improvement in Performance of Big DataProcessing over Heterogeneous Cloud Data Centers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/zjg7jq.

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博士<br>國立臺灣大學<br>電機工程學研究所<br>106<br>With rapid growth of the Internet of Things (IoT), more and more devices transmit data to cloud for analysis. To provide quick responsiveness to the IoT services, multiple cloud data centers are geographically distributed to get close to the IoT devices. A data processing application run on the cloud requires to access a large amount of data stored on remote servers across the data centers. As the execution time is mainly dependent on the network access latency of each task, long data access latency deteriorates the performance of data processing. This paper
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Książki na temat "Heterogeneous data center"

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Varra, Lucia, ed. Dal dato diffuso alla conoscenza condivisa. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-177-5.

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At the present time, the tourist destination offers a stimulating laboratory for the experimentation of theoretical models and good practices on the subjects of governance, knowledge management and sustainable competition. Growing interest in the study of this territorial context gains impetus from the new approaches and tools that local administrations are starting to introduce in the phases of implementation and control of local strategies. In this respect, the Tourist Destination Observatory (OTD) represents an important innovation, offering a nerve centre for the aggregation and networking
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Nilipour, Reza. Neurolinguistics. Edited by Anousha Sedighi and Pouneh Shabani-Jadidi. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198736745.013.18.

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This chapter summarizes some first neurolinguistic studies conducted in Persian, using patholinguistic data taken from monolingual and bilingual brain-damaged patients, as well as five first neuroimaging studies in healthy native speakers of Persian. The patholinguistic data are extracted from formal clinical linguistic assessments of a heterogeneous group of brain-damaged patients with different etiologies and brain lesion sites. The data are indicative of general agrammatic features of ‘syntactic simplification’ and ‘morphological regression’ reported in cross-language studies, along with la
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Saugera, Valérie. From English to French. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190625542.003.0003.

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The chapter presents a brief history of the contact of French with English, from 18th-century Anglomania to the global English of the turn of the 21st century, in order to contextualize the singularity of the latest contact period. It then chronicles the changes that commonly occur as donor words become new French words. These changes, illustrated with many borrowed items from the period of virtual contact (1990–2015), can be classified as grammatical shift, semantic shift, stylistic shift, and connotative shift. Beyond demonstrating that an English etymon masks heterogeneous types of French A
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Садовников, Василий. Теория гетерогенного катализа. Теория хемосорбции. Publishing House Triumph, 2021. http://dx.doi.org/10.32986/978-5-40-10-01-2001.

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This monograph is a continuation of the monograph by V.V. Sadovnikov. Lateral interaction. Moscow 2006. Publishing house "Anta-Eco", 2006. ISBN 5-9730-0017-6. In this work, the foundations of the theory of heterogeneous catalysis and the theory of chemisorption are more easily formulated. The book consists of two parts, closely related to each other. These are the theoretical foundations of heterogeneous catalysis and chemisorption. In the theory of heterogeneous catalysis, an experiment is described in detail, which must be carried out in order to isolate the stages of a catalytic reaction, t
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Mochila, Miguel. Diffuse Modernity. The Hispanic Reception of Eugénio de Castro. Imprensa Universidade de Évora, 2022. http://dx.doi.org/10.24902/uevora.29.

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This work addresses the Hispanic reception of Eugénio de Castro (1869-1944) between the end of the 19th century and the first forty years of the 20th century. I propose a reinterpretation of Castro’s relevance in the definition of Iberian modernity, contradicting the traditional national and linear vision that assigns him a secondary role in Portuguese history. Adopting the transnational perspective advocated by Iberian Studies, this perspective articulates the diversity of trends that coexist in the modernist period, of which the poet is himself exemplary, given the diversity of his work and
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Części książek na temat "Heterogeneous data center"

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Scionti, A., F. Lubrano, O. Terzo, and S. Mazumdar. "Heterogeneous Data Center Architectures: Software and Hardware Integration and Orchestration Aspects." In Heterogeneous Computing Architectures. CRC Press, 2019. http://dx.doi.org/10.1201/9780429399602-1.

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Albers, Susanne, and Jens Quedenfeld. "Algorithms for Energy Conservation in Heterogeneous Data Centers." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75242-2_5.

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AbstractPower consumption is the major cost factor in data centers. It can be reduced by dynamically right-sizing the data center according to the currently arriving jobs. If there is a long period with low load, servers can be powered down to save energy. For identical machines, the problem has already been solved optimally by [25] and [1].In this paper, we study how a data-center with heterogeneous servers can dynamically be right-sized to minimize the energy consumption. There are d different server types with various operating and switching costs. We present a deterministic online algorith
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Jasny, Matthias, Tobias Ziegler, and Carsten Binnig. "Scalable Data Management on Next-Generation Data Center Networks." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_8.

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Abstract The landscape of distributed Database Management Systems (DBMSs) has been fundamentally transformed by advancements in data center network technologies. Traditionally, these systems were designed to minimize network communication, which was perceived as a significant bottleneck. However, with the advent of high-speed networks and technologies such as Remote Direct Memory Access (RDMA), this perception is changing. RDMA allows direct memory access to remote machines at speeds comparable to local memory access, challenging the long-standing belief that network communication is inherentl
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Zhou, Bingyu, Guangjun Qin, Limin Xiao, et al. "Balancing Global and Local Fairness Allocation Model in Heterogeneous Data Center." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68210-5_15.

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Serazzi, Giuseppe. "Systems with Heterogeneous Workloads." In Performance Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36763-2_3.

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AbstractToday’s workloads consist of applications having very different characteristics in terms of service requirements, performance objectives, and arrival processes. In this chapter we consider models executing this type of workloads, referred to as multiclass workloads, consisting of customers having significantly different service requests. In this case, to achieve the necessary accuracy in the performance forecast, it is required to model the workload as consisting of multiple class of customers and to compute the performance estimates for each class. A phenomenon characterizing multicla
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Hu, Jun, Kai He, Chuanhe Huang, and Lei Chen. "An Adaptive Unified Storage Scheme for Heterologous and Heterogeneous Data in Cloud Center." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54924-3_109.

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Garg, Rajni, Indu Arora, and Anu Gupta. "Performance Evaluation of VM Allocation Strategies on Heterogeneous Environments in Cloud Data Center." In Advances in Intelligent Systems and Computing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4299-6_43.

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Steinert, Fritjof, and Benno Stabernack. "FPGA-Based Network-Attached Accelerators – An Environmental Life Cycle Perspective." In Architecture of Computing Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42785-5_17.

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AbstractHomogeneous computing systems are reaching their limits with the growing demands of current applications. Accelerating compute-intensive applications ensures manageable computing times and boosts energy efficiency, which is an important lever as part of ongoing efforts to tackle global climate change. Field Programmable Gate Array (FPGA) accelerators are well-known for increasing throughput and, in particular, energy efficiency for many applications. FPGA accelerators connected directly to the data center high-speed network are ideal for integration into a heterogeneous data center, av
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Georgopoulos, Konstantinos, Iakovos Mavroidis, Luciano Lavagno, Ioannis Papaefstathiou, and Konstantin Bakanov. "Energy-Efficient Heterogeneous Computing at exaSCALE—ECOSCALE." In Hardware Accelerators in Data Centers. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92792-3_11.

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Oleksiak, Ariel, Michal Kierzynka, Wojciech Piatek, et al. "M2DC—A Novel Heterogeneous Hyperscale Microserver Platform." In Hardware Accelerators in Data Centers. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92792-3_6.

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Streszczenia konferencji na temat "Heterogeneous data center"

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Yang, Wei, Hexin Qv, Xuan Wei, and Zhaohao Ding. "Pricing Temporal Flexibility of Data Center Jobs with Heterogeneous Time Constraints." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061577.

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Liu, Wenxin, Hui Yang, Tiankuo Yu, Qiuyan Yao, Jie Zhang, and Mohamed Cheriet. "Deep Q-Learning Based Heterogeneous Computing Power Measuring for Data Center Optical Network." In 2024 IEEE Opto-Electronics and Communications Conference (OECC). IEEE, 2024. https://doi.org/10.1109/oecc54135.2024.10975379.

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Gupta, Rahul, Chandra Prabha Sahu, and Ravindra Kumar. "Improving Heterogeneous Multi-Agent Systems Using Haar Cascades in a Cloud-Based Data Center." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725007.

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Yan, Zhenhua, Hongwei Han, Dongge Zhu, et al. "A multisource heterogeneous data fusion method based on time alignment and federated learning for the dual carbon digital intelligence monitoring center." In Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), edited by Hui Yuan and Lu Leng. SPIE, 2025. https://doi.org/10.1117/12.3055877.

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Liao, Minli Julie, Sam Ainsworth, Lev Mukhanov, Adrian Barredo, Markos Kynigos, and Timothy M. Jones. "ParaVerser: Harnessing Heterogeneous Parallelism for Affordable Fault Detection in Data Centers." In 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2025. https://doi.org/10.1109/dsn64029.2025.00046.

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Rocchini, Gabriele, and Alfredo Colombo. "Monitoring of Corrosion State of Aluminium Brass Condenser Tubes." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92419.

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Abstract After a concise survey of the two theories, suggested by North and Pryor and by Gasparini et al., for explaining the formation of a protective lepidocrocite layer on the surface of copper and its alloys when they come in contact with sea water conditioned with ferrous salts, the existence of another possibility based on the development of a heterogeneous reaction through an electrochemical path is suggested. The authors' opinions on the physical meaning of monitoring the corrosion state of aluminium brass tubes and on its technological validity and usefulness when dealing with problem
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Li, Dan, Mingwei Xu, Hongze Zhao, and Xiaoming Fu. "Building mega data center from heterogeneous containers." In 2011 19th IEEE International Conference on Network Protocols (ICNP). IEEE, 2011. http://dx.doi.org/10.1109/icnp.2011.6089059.

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Tarafdar, Naif, Thomas Lin, Nariman Eskandari, David Lion, Alberto Leon-Garcia, and Paul Chow. "Heterogeneous virtualized network function framework for the data center." In 2017 27th International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2017. http://dx.doi.org/10.23919/fpl.2017.8056790.

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Zhang, Shuo, Yaping Liu, Baosheng Wang, and Ruixin Zhang. "A Novel Resource Allocation Algorithm for a Heterogeneous Data Center." In 2013 International Conference on Information Science and Applications (ICISA). IEEE, 2013. http://dx.doi.org/10.1109/icisa.2013.6579402.

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Sharma, Anu Priya, and Jaspreet Singh. "Energy Efficient Distribution of Heterogeneous Workloads in Cloud Data Center." In 2024 3rd International Conference for Innovation in Technology (INOCON). IEEE, 2024. http://dx.doi.org/10.1109/inocon60754.2024.10512089.

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Raporty organizacyjne na temat "Heterogeneous data center"

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Cristia, Julian P., and Paulo Bastos. Entry and Quality Choices in Child Care Markets. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0011186.

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Many developing countries have adopted the market approach for expanding the supply of child care, but little is known about the economic behavior of independent providers. This paper draws on uniquely rich administrative data on child care centers and their inputs from São Paulo to examine the role of local household income in shaping the entry and quality choices of private suppliers. It documents three main facts: (1) entry rates are considerably higher in high-income districts; (2) the quality of provision as measured by teachers¿ schooling, group size and equipment is highly heterogeneous
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Olsen and Wilson. L52145 Geomechanical Analysis and Design Considerations for Thin-Bedded Salt Caverns. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011349.

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he bedded salt formations located throughout the United States are layered and interspersed with non-salt materials such as anhydrite, shale, dolomite and limestone. The salt layers often contain significant impurities. GRI and DOE have initialized this research proposal in order to increase the gas storage capabilities by providing operators with improved geotechnical design and operating guidelines for thin bedded salt caverns. Terralog has summarized the geologic conditions, pressure conditions and critical design factors that may lead to: Fracture in heterogeneous materials; Differential d
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Murad, M. Hassan, Stephanie M. Chang, Celia Fiordalisi, et al. Improving the Utility of Evidence Synthesis for Decision Makers in the Face of Insufficient Evidence. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcwhitepaperimproving.

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Background: Healthcare decision makers strive to operate on the best available evidence. The Agency for Healthcare Research and Quality Evidence-based Practice Center (EPC) Program aims to support healthcare decision makers by producing evidence reviews that rate the strength of evidence. However, the evidence base is often sparse or heterogeneous, or otherwise results in a high degree of uncertainty and insufficient evidence ratings. Objective: To identify and suggest strategies to make insufficient ratings in systematic reviews more actionable. Methods: A workgroup comprising EPC Program mem
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
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