Search results for "Networking hardware"

showing 7 items of 7 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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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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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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SDN@home: A Method for Controlling Future Wireless Home Networks

2016

Recent advances in wireless networking technologies are leading toward the proliferation of novel home network applications. However, the landscape of emerging scenarios is fragmented due to their varying technological requirements and the heterogeneity of current wireless technologies. We argue that the development of flexible software-defined wireless architectures, including such efforts as the wireless MAC processor, coupled with SDN concepts, will enable the support of both emerging and future home applications. In this article, we first identify problems with managing current home networks composed of separate network segments governed by different technologies. Second, we point out t…

Computer Networks and CommunicationsWireless ad hoc networkComputer science02 engineering and technology03 medical and health sciences0302 clinical medicineHome automation0202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic EngineeringNetwork architectureResidential gatewaySettore ING-INF/03 - TelecomunicazioniWireless networkbusiness.industryComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsWireless WANService providerNetworking hardwareComputer Science ApplicationsWireless site surveyKey distribution in wireless sensor networksComputer Networks and CommunicationSoftware-defined networkingbusinessTelecommunicationsHeterogeneous networkMunicipal wireless network030215 immunologyComputer network
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Exploiting Deductive Processes for Automated Network Management

2005

This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multiagent architecture for network management, which exploits the dynamic reasoning capabilities of the situation calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed on the network devices and is collected by a logical entity for network managing where it is merged with general domain knowledge, with a view to identifying the root causes of faults and to decide on reparative actions. The logical inference system has been devised to carry…

Network architectureComputer sciencebusiness.industryDistributed computingMulti-agent systemOrganizational network analysiscomputer.software_genreNetworking hardwarenetwork management artificial intelligenceNetwork management applicationNetwork simulationNetwork managementIntelligent computer networkElement management systemData miningbusinesscomputerNetwork management station
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Rule based reasoning for network management

2006

This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as a managing entity capable of directing, coordinating, and triggering monitoring and management actions in the proposed architecture. The logical inference system has been devised to enable automated isolation, diagnosis, and to repair network anomalies, thus enhancing the reliability, performance, and security of the network. The measurements of network events are captured by programmable sensors deployed on the network devices and are collected by the network management entity whe…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial intelligenceComputer networkComputer sciencebusiness.industrySemantic reasonerFormal logiccomputer.software_genreNetworking hardwareNetwork management applicationNetwork simulationIntelligent computer networkNetwork managementElement management systemKnowledge based systemsData miningbusinesscomputerNetwork management station
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PTNet: An efficient and green data center network

2017

International audience; In recent years, data centers have witnessed an exponential growth for hosting hundreds of thousands of servers as well as to accommodating a very large demand for resources. To fulfill the required level of demand, some approaches tackled network aspects so to host a huge number of servers while others focused on delivering rapid services to the clients by minimizing the path length between any two servers. In general, network devices are often designed to achieve 1:1 oversubscription. Alternatively, in a realistic data center environment, the average utilization of a network could vary between 5% and 25%, and thus the energy consumed by idle devices is wasted. This…

[ INFO ] Computer Science [cs]Computer Networks and CommunicationsComputer scienceDistributed computing02 engineering and technologyNetwork topology[ INFO.INFO-AO ] Computer Science [cs]/Computer ArithmeticTheoretical Computer Science03 medical and health sciences[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0302 clinical medicineArtificial IntelligenceRobustness (computer science)Energy savingServerArchitecture0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]ComputingMilieux_MISCELLANEOUSAverage path lengthInterconnectionNetwork topologyEnergy[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-AO]Computer Science [cs]/Computer ArithmeticScalability020206 networking & telecommunicationsData center networkAverage path lengthNetworking hardware[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Hardware and Architecture030220 oncology & carcinogenesis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]ScalabilityData center[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwareComputer network
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