Showing 4 open source projects for "run time java"

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  • 1
    Advanced DHCP Server Live CD (With GUI)

    Advanced DHCP Server Live CD (With GUI)

    The Free & Popular opendhcp application for Physical & Virtual Machine

    Instructions: 1. Write this .iso file to a Pen Drive, with the Free multibootusb software ( links below ) 2. Boot from the Pen Drive, after changing the BIOS Boot Order quickly on system startup 3. First startup will show some info dialogs. These can be cancelled without making any changes 4. Click on the opendhcp folder link on Desktop 5. Right click the set_eth0_static_ipaddress.sh file and choose Open as Text option. Edit the file to meet your network needs. To know about...
    Downloads: 5 This Week
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  • 2
    BGP Looking-glass

    BGP Looking-glass

    Open Source BGP Looking-glass

    BigPlg allows the collection of the IPv4 Internet routing table which may be viewed by service providers and/or ISP customers to validate IP routing across autonomous systems. Routing updates may also have attributes aliased to become (graph) readable. This function exists to allow the exporting of RIB updates to Splunk, or any such data collector. A beneficial side-effect of collecting BGP routing information is the ability to track BGP updates/events local or remote(upstream). To analyze...
    Downloads: 0 This Week
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  • 3
    aodv protocol on gpu IIIT Bangalore
    The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C...
    Downloads: 0 This Week
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  • 4
    iiitbaodv-gpu-aodv-IIIT Bangalore
    The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C...
    Downloads: 0 This Week
    Last Update:
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