Search results for "Data center network"

showing 10 items of 11 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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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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Optimization on ports activation towards energy efficient data center networks

2018

Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more important and must be able to respond to ever changing service requirements and application demands. However, data centers are classified as one of the largest consumers of energy in the world. Existing topologies such as ScalNet improves the data center scalability while leading to enormous amounts of energy consumption. In this paper, we present a new energy efficient algorithm for ScalNet called Green ScalNet. The proposed topology strikes a compromise between maximizing …

Energy utilizationInternet of thingsUbiquitous computingComputer scienceTopology (electrical circuits)Network topologyEnergy conservationTopologyService requirementsActivation energyAnalysis and simulationNetwork supportActive communicationsNetwork architectureGreen computingAverage path lengthbusiness.industryVideo conferencingNetwork architectureTime switchesEnergy consumptionData center networksAverage path lengthEnergy efficiencyScalabilityData centerbusinessNew energiesEnergy efficientComputer networkEfficient energy use
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Adaptative Network Topology for Data Centers

2016

Data centers have an important role in supporting cloud computing services (such as email, social networking, web search, etc.) enterprise computing needs, and infrastructure-based services. Data center networking is a research topic that aims at improving the overall performances of the data centers. It is a topic of high interest and importance for both academia and industry. Several architectures such as FatTree, FiConn, DCel, BCube, and SprintNet have been proposed. However, these topologies try to improve the scalability without any concerns about energy that data centers use and the network infrastructure cost, which are critical parameters that impact the performances of data centers…

Engineeringbusiness.industryNetwork TopologyData center networksupporting cloud computing servicesComputer securitycomputer.software_genreNetwork topologyAverage path lengthBottleneckLow latency (capital markets)ServerScalabilityData centerInstalled basebusinesscomputerComputer networkQatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1
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LaCoDa: Layered connected topology for massive data centers

2017

One of the fundamental challenges of existing data centers is to design a network that interconnects massive number of servers, and therefore providing an efficient and fault-tolerant routing service to upper-layer applications. Several solutions have been proposed (e.g. FatTree, DCell and BCube), however they either scale too fast (i.e., double exponentially) or too slow. This paper proposes a new data center topology, called LaCoDa, that combines the advantages of previous topologies while avoiding their limitations. LaCoDa uses a small node degree that matches physical restriction for servers, and it also interconnects a large number of servers while reducing the wiring complexity and wi…

Network achitecture[ INFO ] Computer Science [cs]Computer Networks and CommunicationsComputer scienceDistributed computing050801 communication & media studies02 engineering and technologyTopologyNetwork topology0508 media and communicationsServer0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]InterconnectionAverage path lengthNetwork topologybusiness.industryBisection bandwidth05 social sciences020206 networking & telecommunicationsData center networkAverage path lengthComputer Science ApplicationsHardware and ArchitectureData centerbusinessComputer network
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Integrating Variability Management in Data Center Networks

2017

International audience; Data centers have an important role in supporting cloud computing services (i.e. checking social media, sending emails, video conferencing,..). Hence, data centers topologies design became more important and must be able to respond to ever changing service requirements and application demands. An ultimate challenge in this research is the design of data center network that interconnects the massive number of servers, and provides efficient and fault-tolerant routing algorithm. Several topologies such as DCell, FlatNet and ScalNet have been proposed. However, these topologies generally seek to improve the scalability without taking into consideration the energy usage …

Service (systems architecture)[ INFO ] Computer Science [cs]Computer scienceDistributed computing0211 other engineering and technologies02 engineering and technology[INFO] Computer Science [cs]computer.software_genreNetwork topologyInfrastructure costVideoconferencingServer[INFO]Computer Science [cs]Average path lengthEnergy021103 operations researchbusiness.industryCloud computing servicesData center networkEnergy consumptionAverage path lengthaverage path lengthScalabilitydata center networkData centerbusinessinfrastructure costcomputerComputer networkenergy
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A survey of wireless data center networks

2015

Data centers are becoming more and more popular for a wide variety of applications. However, the efficiency of data centers are restricted by many issues like cabling and maintenance problems in addition to performance problems like oversubscription. Wireless technology was proposed as it has the capability and the flexibility to offer feasible approaches to solve some of these problems. In this paper, we conduct a deep investigation about wireless data center networks, describe some works that enhance the performance of the network, then give some remarks and critiques. 2015 IEEE. Scopus

Wi-Fi arrayWireless networkbusiness.industryComputer scienceDistributed computingWireless WANData center networkWireless data center networkKey distribution in wireless sensor networksWireless site survey60Ghz technologybusinessFixed wirelessWireless sensor networkMunicipal wireless networkComputer network2015 49th Annual Conference on Information Sciences and Systems (CISS)
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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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