Software Defined Networking Bulk Data Transfers to Minimize Network Congestion,

SCHEDULING BULK DATA TRANSFERS ACROSS GEO-DISTRIBUTED DATACENTERS USING SDN ARCHITECTURE

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INTER-DATA CENTER BULK TRANSFERS BASED ON ENSEMBLE MODELINGabstractThe software defined networking (SDN) paradigmAims to design a dynamic, Highly efficient bulk data transfer service in a geo-distributed datacenter system, Engineer its design and solution algorithms closely within an SDN architecture.Delay tolerant migrationChunk routing optimization model is formulated to solve for the best chunk transfer schedules over time.aim a dynamic, highly efficient bulk data transfer service in a geo-distributed datacenter system, and engineer its design and solution algorithms closely within an SDN architecture.Increase the speed and performance Reduce the overhead

introductionGeo-distributed datacenter system is to transfer bulk volumes of data from one datacenter to another,(SDN) paradigm has shed light on easy realization of a centralized optimization algorithm, It solves the bulk data transfer scheduling problem,Existing systemData center resizing (DCR) has been proposed to reduce the computation cost by adjusting the number of data servers via task placement.Deadline-Aware Datacenter TCP protocolPrevious work has energy is a significant part of the operational cost in data centers and that it takes a server only several seconds to sleep or to wake up. NetStitcher technique usedTraffic into the network,

disadvantageIncresed the transmission time of a given volume.Low bandwidthNot flexibility High computational delay and overhead.

Proposed systemBandwidth-reserving algorithm, Dynamically-adjusting algorithmoptimality and scalability.SDN architectureRouting optimality, computational delay and overheadwe formulate the bulk data transfer problem into anovel, optimal chunk routing problem, which maximizes the aggregate utility gain due to timely transfer completions before the specified deadlines.advantageTo minimize the transmission time of a given volume.To distribute tasks onto servers without violating the resource constraints. This proposed system can be used to adjust the Distributed Data Center layout for load balancing or energy saving purposeto solve the optimal chunk routing problem,computational complexity

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SOFTWARE REQUIREMENTS:

Operating System : Windows family Technology : Java and J2EEIDE : Netbeans IDE Web Server : Apache Tomcat serverDatabase : My SQL

HARDWARE REQUIREMENTS:

Hardware - PentiumSpeed - 1.1 GHzRAM - 1GBHard Disk - 20 GBFloppy Drive - 1.44 MBKey Board - Standard Windows KeyboardMouse - Two or Three Button MouseMonitor - SVGA

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