Search results for "Data center"

showing 10 items of 30 documents

An Energy Saving Mechanism Based on Vacation Queuing Theory in Data Center Networks

2018

To satisfy the growing need for computing resources, data centers consume a huge amount of power which raises serious concerns regarding the scale of the energy consumption and wastage. One of the important reasons for such energy wastage relates to the redundancies. Redundancies are defined as the backup routing paths and unneeded active ports implemented for the sake of load balancing and fault tolerance. The energy loss may also be caused by the random nature of incoming packets forcing nodes to stay powered on all the times to await for incoming tasks. This paper proposes a re-architecturing of network devices to address energy wastage issue by consolidating the traffic arriving from di…

010302 applied physicsQueueing theorybusiness.industryComputer scienceNetwork packet020206 networking & telecommunicationsFault tolerance02 engineering and technologyEnergy consumptionData center networksLoad balancing (computing)01 natural sciencesNetworking hardwareBackupPower consumption0103 physical sciencesVacation queuing theory0202 electrical engineering electronic engineering information engineeringData centerbusinessComputer network
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A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign

2019

The Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign was carried out north-west of Svalbard (Norway) between 23 May and 6 June 2017. The objective of ACLOUD was to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification. Two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. Both aircraft were equipped with identical instrumentation for measurements of basic meteorological parameters, as well as for turbulent and radiative energy fluxes. In addition, on Polar 5 active and passive remote sensing instruments were installed, while Polar 6 …

010504 meteorology & atmospheric sciences02 engineering and technology01 natural sciencesRadiative fluxddc:5500202 electrical engineering electronic engineering information engineeringSea icelcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereData processinggeographygeography.geographical_feature_categorybusiness.industrylcsh:QE1-996.5020206 networking & telecommunicationsTrace gaslcsh:GeologyEarth sciencesArctic13. Climate actionRemote sensing (archaeology)Polar amplificationGeneral Earth and Planetary SciencesEnvironmental scienceData centerbusiness
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History of Data Centre Development

2012

International audience; Computers are used to solve different problems. For solving these problems computer software and hardware are used, but for operations of those computing facilities a Data Centre is necessary. Therefore, development of the data centre is subordinated to solvable tasks and computing resources. We are studying the history of data centres’ development, taking into consideration an understanding of this. In the beginning of the computer era computers were installed in computing centres, because all computing centres have defined requirements according to whom their operation is intended for. Even though the concept of ‘data centre’ itself has been used since the 1990s, t…

060106 history of social sciencesbusiness.industry020206 networking & telecommunications06 humanities and the arts02 engineering and technologyhistorical developmentEngineering managementDevelopment (topology)Data CentreComputer software0202 electrical engineering electronic engineering information engineeringComputing facilities0601 history and archaeologyThe InternetData center[INFO]Computer Science [cs]Computer Operationbusiness
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Efficient techniques for energy saving in data center networks

2018

Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. Consequently, many devices are set into idle state and cause a huge energy waste leading to a non-proportionality between the network load and the energy consumed. In this paper, we propose a new approach to improve the efficiency of data centers in terms of energy consumption. Our approach exploits the correlation in time of the inter-node communication traffic and some topological features to maximize energy saving w…

Average path lengthNetwork topologyComputer Networks and Communicationsbusiness.industryComputer scienceScalability020206 networking & telecommunicationsCloud computingData center network02 engineering and technologyEnergy consumptionData center network Network topology Average path length Energy consumption ScalabilityNetwork topologyAverage path lengthNetworking hardware020202 computer hardware & architectureEnergy consumptionScalability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Data centerbusinessEnergy (signal processing)Computer networkComputer Communications
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Optimal standalone data center renewable power supply using an offline optimization approach

2022

Abstract Because of the increasing energy consumption of data centers and their C O 2 emissions, the ANR DATAZERO2 project aims to design autonomous data centers running solely on local renewable energy coupled with storage devices to overcome the intermittency issue. In order to optimize the use of renewable energy and storage devices, a MILP solver is usually in charge of assigning the power to be supplied to the data center. However, in order to reduce the computation time and make the approach scalable, it would be more appropriate to use a polynomial time algorithm. This paper aims at showing and proving that it is possible to provide an optimal power profile via a deterministic algori…

Binary search algorithmMathematical optimizationGeneral Computer Sciencebusiness.industryDeterministic algorithmComputer scienceEnergy consumptionSolverRenewable energyScalabilityData centerElectrical and Electronic EngineeringbusinessTime complexitySustainable Computing: Informatics and Systems
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A Guaranteed performance of a green data center based on the contribution of vital nodes

2016

International audience; In order to satisfy the need for the critical computing resources, many data center architectures proposed to house a huge number of network devices. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. Consequently, many devices are set into idle state and cause a huge energy waste leading to a non-proportionality between the network load and the energy consumed. In this paper, we propose a power-aware routing algorithm that saves energy consumption with a negligible trade-off on the performance of the network. The idea is to keep active only the source and …

Computation timeComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Network02 engineering and technology01 natural sciences7. Clean energySet (abstract data type)Idle[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][ SPI.NRJ ] Engineering Sciences [physics]/Electric powerenergy savingEnergy saving0103 physical sciences0202 electrical engineering electronic engineering information engineeringTime complexity010302 applied physicsEnergy[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]business.industryvital nodes[SPI.NRJ]Engineering Sciences [physics]/Electric powercomputation timeVital nodes020206 networking & telecommunicationsEnergy consumptionData center networkNetworking hardwareState (computer science)businessEnergy (signal processing)[SPI.NRJ] Engineering Sciences [physics]/Electric powerComputer network
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Achieving energy efficiency in data centers with a performance-guaranteed power aware routing

2017

Nowadays, data centers are designed to offer the highest performance in case of high traffic load and peak utilisation of the network. However, in a realistic data center environment, the peak capacity of the network is rarely reached and the average utilisation of devices varies between 5% and 25% which results into a huge loss of energy since most of the time links and servers are idle or under-utilized. The high impact of this wasted power on environmental effects, energy needs and electricity costs raised the concerns to seek for an efficient solution to make data centers more power effective while keeping the desired quality of service. In this paper, we propose a power-aware routing a…

Computation time[ INFO ] Computer Science [cs]Computer Networks and CommunicationsComputer scienceReliability (computer networking)Performance[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]02 engineering and technology03 medical and health sciences[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][SPI]Engineering Sciences [physics]0302 clinical medicineBackupServerEnergy saving0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][INFO]Computer Science [cs]business.industryQuality of serviceVital nodes020206 networking & telecommunicationsData center networkReliability030220 oncology & carcinogenesisRouting (electronic design automation)businessComputer networkEfficient energy use
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A survey on data center network topologies

2018

Data centers are the infrastructures that support the cloud computing services. So, their topologies have an important role on controlling the performance of these services. Designing an efficient topology with a high scalability and a good network performance is one of the most important challenges in data centers. This paper surveys recent research advances linked to data center network topologies. We review some representative topologies and discuss their proprieties in details. We compare them in terms of average path length, network fault tolerance, scalability and connection pattern techniques. Springer Nature Switzerland AG 2018. Acknowledgment. This publication was made possible by …

Computer sciencebusiness.industryCloud computing servicesData center topologyFault toleranceCloud computingTopology (electrical circuits)Network topologyAverage path lengthNetwork performanceScalabilityNetwork performanceData centerbusinessSurveyComputer network
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PTNet: A parameterizable data center network

2016

This paper presents PTNet, a new data center topology that is specifically designed to offer a high and parameterized scalability with just one layer architecture. Furthermore, despite its high scalability, PTNet grants a reduced latency and a high performance in terms of capacity and fault tolerance. Consequently, compared to widely known data center networks, our new topology shows better capacity, robustness, cost-effectiveness and less power consumption. Conducted experiments and theoretical analyses illustrate the performance of the novel system. 2016 IEEE. Scopus

Computer sciencebusiness.industryDistributed computingLogical topologypower consumption020206 networking & telecommunicationsFault tolerance02 engineering and technologyNetwork topologynetwork topologyRobustness (computer science)020204 information systemsServercostScalability0202 electrical engineering electronic engineering information engineeringData centerData centerfault tolerancebusinesslatencyscalability2016 IEEE Wireless Communications and Networking Conference
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Data service platform for sentinel-2 surface reflectance and value-added products: System use and examples

2016

This technical note presents the first Sentinel-2 data service platform for obtaining atmospherically-corrected images and generating the corresponding value-added products for any land surface on Earth (http://s2.boku.eodc.eu/). Using the European Space Agency’s (ESA) Sen2Cor algorithm, the platform processes ESA’s Level-1C top-of-atmosphere reflectance to atmospherically-corrected bottom-of-atmosphere (BoA) reflectance (Level-2A). The processing runs on-demand, with a global coverage, on the Earth Observation Data Centre (EODC), which is a public-private collaborative IT infrastructure in Vienna (Austria) for archiving, processing, and distributing Earth observation (EO) data (http://www.…

Earth observation010504 meteorology & atmospheric sciencesreflectanceComputer sciencetélédétection0211 other engineering and technologies02 engineering and technology01 natural sciences7. Clean energyConsistency (database systems)remote sensingTraitement du signal et de l'imageatmospheric correctionremote sensing;sentinel-2;atmospheric correction;Sen2Cor;LAI;broadband HDRFlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingSentinel-2; atmospheric correction; Sen2Cor; LAI; broadband HDRFbusiness.industrysentinel-2Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSignal and Image processingVegetationReflectivitybroadband HDRFLAIatmosphèreSen2Cor13. Climate actionGeneral Earth and Planetary Scienceslcsh:QData centerData as a servicebusinessdonnée satellitaire[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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