Conferences related to Data Center

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


2020 IEEE International Solid- State Circuits Conference - (ISSCC)

ISSCC is the foremost global forum for solid-state circuits and systems-on-a-chip. The Conference offers 5 days of technical papers and educational events related to integrated circuits, including analog, digital, data converters, memory, RF, communications, imagers, medical and MEMS ICs.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Data Center

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Data Center

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Xplore Articles related to Data Center

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Cost-aware multi-domain virtual data center embedding

China Communications, 2018

Virtual data center is a new form of cloud computing concept applied to data center. As one of the most important challenges, virtual data center embedding problem has attracted much attention from researchers. In data centers, energy issue is very important for the reality that data center energy consumption has increased by dozens of times in the last decade. In ...


Finding and accessing data at the NASA atmospheric science data center

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007

A large effort to replace two large-scale science data management systems with a single, advanced, scalable system is currently underway at the NASA Langley Atmospheric Science Data Center. The new system is designed with a distributed, multi-tier, service based, message- oriented architecture enabling new methods for searching, accessing and customizing data. ASDC is also tailoring access to information and data ...


Research and application of virtualization technology power in data center

2014 China International Conference on Electricity Distribution (CICED), 2014

With the rapid development of electric power information technology, has been expanding its business system, the investment cost is rising, at the same time, due to the busy business application widespread idle cycles, lead to equipment use efficiency is not high. Virtualization technology can effectively improve equipment load rate, saving the cost of investment and data center energy consumption and ...


Traffic-aware VDC embedding in data center: A case study of fattree

China Communications, 2014

Virtualization is a common technology for resource sharing in data center. To make efficient use of data center resources, the key challenge is to map customer demands (modeled as virtual data center, VDC) to the physical data center effectively. In this paper, we focus on this problem. Distinct with previous works, our study of VDC embedding problem is under the ...


Cryospheric products from Earth Observing System Satellites at the National Snow and Ice Data Center

IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

The National Snow and Ice Data Center (NSIDC) at the University of Colorado, Boulder archives and distributes several products from sensors on NASA's Terra, Aqua, and ICES at platforms within the Earth Observing System (EOS) suite. A wide range of products, data resolutions, and grids supports decision-makers at all levels in a variety of disciplines. NSIDC scientists are also developing ...


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Educational Resources on Data Center

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IEEE-USA E-Books

  • Cost-aware multi-domain virtual data center embedding

    Virtual data center is a new form of cloud computing concept applied to data center. As one of the most important challenges, virtual data center embedding problem has attracted much attention from researchers. In data centers, energy issue is very important for the reality that data center energy consumption has increased by dozens of times in the last decade. In this paper, we are concerned about the cost-aware multi-domain virtual data center embedding problem. In order to solve this problem, this paper first addresses the energy consumption model. The model includes the energy consumption model of the virtual machine node and the virtual switch node, to quantify the energy consumption in the virtual data center embedding process. Based on the energy consumption model above, this paper presents a heuristic algorithm for cost- aware multi-domain virtual data center embedding. The algorithm consists of two steps: inter-domain embedding and intra-domain embedding. Inter-domain virtual data center embedding refers to dividing virtual data center requests into several slices to select the appropriate single data center. Intra-domain virtual data center refers to embedding virtual data center requests in each data center. We first propose an inter-domain virtual data center embedding algorithm based on label propagation to select the appropriate single data center. We then propose a cost-aware virtual data center embedding algorithm to perform the intra-domain data center embedding. Extensive simulation results show that our proposed algorithm in this paper can effectively reduce the energy consumption while ensuring the success ratio of embedding.

  • Finding and accessing data at the NASA atmospheric science data center

    A large effort to replace two large-scale science data management systems with a single, advanced, scalable system is currently underway at the NASA Langley Atmospheric Science Data Center. The new system is designed with a distributed, multi-tier, service based, message- oriented architecture enabling new methods for searching, accessing and customizing data. ASDC is also tailoring access to information and data meet the needs of their diversified atmospheric sciences user community. Details of current data access tools and capabilities, and planned improvements are discussed.

  • Research and application of virtualization technology power in data center

    With the rapid development of electric power information technology, has been expanding its business system, the investment cost is rising, at the same time, due to the busy business application widespread idle cycles, lead to equipment use efficiency is not high. Virtualization technology can effectively improve equipment load rate, saving the cost of investment and data center energy consumption and reduce data center space, improve the work efficiency of maintenance personnel. This paper introduces the application of virtualization technology in the electric power data center, through the data center virtualization solutions, such as reduce the number of servers, optimization of resource utilization, so as to reduce costs, to achieve rapid response such as business needs change, for the realization of the data center automation and business continuity to provide necessary basis.

  • Traffic-aware VDC embedding in data center: A case study of fattree

    Virtualization is a common technology for resource sharing in data center. To make efficient use of data center resources, the key challenge is to map customer demands (modeled as virtual data center, VDC) to the physical data center effectively. In this paper, we focus on this problem. Distinct with previous works, our study of VDC embedding problem is under the assumption that switch resource is the bottleneck of data center networks (DCNs). To this end, we not only propose relative cost to evaluate embedding strategy, decouple embedding problem into VM placement with marginal resource assignment and virtual link mapping with decided source-destination based on the property of fat-tree, but also design the traffic aware embedding algorithm (TAE) and first fit virtual link mapping (FFLM) to map virtual data center requests to a physical data center. Simulation results show that TAE+FFLM could increase acceptance rate and reduce network cost (about 49% in the case) at the same time. The traffic aware embedding algorithm reduces the load of core-link traffic and brings the optimization opportunity for data center network energy conservation.

  • Cryospheric products from Earth Observing System Satellites at the National Snow and Ice Data Center

    The National Snow and Ice Data Center (NSIDC) at the University of Colorado, Boulder archives and distributes several products from sensors on NASA's Terra, Aqua, and ICES at platforms within the Earth Observing System (EOS) suite. A wide range of products, data resolutions, and grids supports decision-makers at all levels in a variety of disciplines. NSIDC scientists are also developing a variety of research products to complement the standard data sets distributed by the data center. These EOS sensors substantially enhance our ability to observe the cryosphere. GLAS represents an entirely new type of sensor for the cryosphere, while AMSR-E and MODIS offer significant improvements over their earlier generations. The products from these sensors, combined with NSIDC's other data sets, are a valuable resource for the investigation of regional and global climate issues and should yield new insights into the cryospheric system in support of NASA's efforts to understand and protect our home planet

  • Schemes for Fast Transmission of Flows in Data Center Networks

    In this paper, we survey different existing schemes for the transmission of flows in Data Center Networks (DCNs). The transport of flows in DCNs must cope with the bandwidth demands of the traffic that a large number of data center applications generates and achieve high utilization of the data center infrastructure to make the data center financially viable. Traffic in DCNs roughly comprises short flows, which are generated by the Partition/Aggregate model adopted by several applications and have sizes of a few kilobytes, and long flows, which are data for the operation and maintenance of the data center and have sizes on the order of megabytes. Short flows must be transmitted (or completed) as soon as possible or within a deadline, and long flows must be serviced with a minimum acceptable throughput. The coexistence of short and long flows may jeopardize achieving both performance objectives simultaneously. This challenge has motivated growing research on schemes for managing the transmission of flows in DCNs. We describe several recent schemes aimed at reducing the flow completion time in DCNs. We also present a summary of existing solutions for the incast traffic phenomenon. We provide a comparison and classification of the surveyed schemes, describe their advantages and disadvantages, and show the different trends for scheme design. For completeness, we describe some DCN architectures, discuss the traffic patterns of DCNs, and discuss why some existing versions of transport protocols may not be usable in DCNs. At the end, we discuss some of the identified research challenges.

  • Review on data center issues and challenges: Towards the Green Data Center

    Data centers are the backbone of the variety internet services such as web- hosting, e-commerce, and social networking. Business relying on the DC services is showing an increasing and DC operators facing challenges to manage the DC resources. In order to cater the increase demand, DC operators are installing additional equipment in the DC. Thus, many research have highlighted the increasing trend of energy consumption in DC originates from the IT systems such as server, storage, network and from the non-IT system such as cooling system and power system. Looking into IT system, one of the solutions that may reduce the energy consumption in the DC is to adopt the Green Data Center using the green computing. However, DC operators are facing many issues and challenges and the most discussed in the literature are reliability and performance, resource management and energy management. This paper reviews the issues and challenges on the IT systems and to adopt the Green Data Center to assist DC operators moving towards the Green Data Center.

  • The design and construction of a bench-top Organic Rankine Cycle for data center applications

    The growing demand for data center utilization and the resulting increases in energy requirements are creating significant challenges for data center operators and for thermal designers. Design options which can cool the servers efficiently while also reducing electricity usage are thus of considerable interest. One potential technique is the use of Organic Rankine Cycle (ORC) technology which can absorb the server heat into an organic fluid and then use this heat in a power cycle to create electricity. The ORC has been found to match well with data center requirements and this paper presents the analysis of an ORC system matched with data center operating conditions and the design of an ORC test bed. The ORC test bed is designed for 20kW of waste heat collected from 2 full racks. The complete design includes the ORC power cycle and one secondary cycle as heat source. Component selection has been carefully studied in each of the two cycles. The main goals of this investigation are the steady-state characterization of an ORC under different data center operating conditions and the design of a test bed which will prove out the concept of mating ORC with data center conditions for potential customers who are seeking alternatives for data center waste heat recovery.

  • Lightness: A Function-Virtualizable Software Defined Data Center Network With All-Optical Circuit/Packet Switching

    Modern high-performance data centers are responsible for delivering a huge variety of cloud applications to the end-users, which are increasingly pushing the limits of the currently deployed computing and network infrastructure. All-optical dynamic data center network (DCN) architectures are strong candidates to overcome those adversities, especially when they are combined with an intelligent software defined control plane. In this paper, we report the first harmonious integration of an optical flexible hardware framework operated by an agile software and virtualization platform. The LIGHTNESS deeply programmable all-optical circuit and packet switched data plane is able to perform unicast/multicast switch-over on-demand, while the powerful software defined networking (SDN) control plane enables the virtualization of computing and network resources creating a virtual data center and virtual network functions (VNF) on top of the data plane. We experimentally demonstrate realistic intra DCN with deterministic latencies for both unicast and multicast, showcasing monitoring, and database migration scenarios each of which is enabled by an associated network function virtualization element. Results demonstrate a fully functional complete unification of an advanced optical data plane with an SDN control plane, promising more efficient management of the next-generation data center compute and network resources.

  • DC powered data center with 200 kW PV panels

    Power consumption of ICT facilities and data centers has grown, and this has led to a need to improve energy efficiency of these facilities. DC power distribution systems employing 380VDC as the supply voltage is one promising approach to address this problem for countries around the world developing and deploying commercial services. The international team by the university of Texas, Austin, USA and NTT FACILITIEIS, Japan demonstrated a 380VDC power distribution system interconnected with a solar power generation system in Texas, USA. The purpose of this demonstration was to show that a 380VDC power supply system saves more energy than an AC power supply system, and to show how much carbon dioxide emissions can be reduced by integrating a solar power generation system. This demonstration resulted in an approximate 17% energy reduction compared with an AC power supply system having the same level of reliability. Also, an evaluation using Data center Performance Per Energy (DPPE) as a performance index of the efficiency of data centers was carried out. The results showed that Power Usage Effectiveness (PUE), one of the sub- metrics of DPPE, improved with the 380VDC power supply system compared with the AC power supply system.



Standards related to Data Center

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No standards are currently tagged "Data Center"