Search Results for "cpu memory usage"
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Showing 3 open source projects for "cpu memory usage"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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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... -
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netmonsql
Network performance monitoring and logging script for Cisco devices.
NetMon_Cisco_to_SQL.py is a basic network performance monitoring and logging script for Cisco devices. It gathers parameters (CPU Utilization, Used Processor Memory, Used IO Memory, UP Ethernet Interfaces density, in percent velues) from Cisco routers by parsing command outputs and exports them to a MySQL database. NetMon_Query.py is a query script for the MySQL database in the form of an interactive menu for generating statistics. Tools used for coding and testing: Python 2.7.3, MySQL Server 5.5.37, GNS3, Linux. ... -
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iiitbaodv-gpu-aodv-IIIT Bangalore
AODV protocol for GPU
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...
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