Performance, Security, Dependability of the Red Hat Linux Advanced
Server OS vs. Win 2000 OS
|
Project Sponsor Name: Kelley ButlerOrganization: IT E-mail Address: Kelley.Butler@tinker.af.mil Phone Number |
Name Steven HoffmanOrganization ENFLT E-mail address Steven.Hoffman@tinker.af.mil Phone Number 405 736 4026 |
Submitted by:
3.0 Anticipated Tasks /Methodology
Today’s OC-ALC/IT infrastructure is closely linked if not very dependent upon a single product line by Microsoft Corporation from server/desktop operating systems to almost all applications. A single product line has become the defacto standard for the IT environment.
Because the AF and OC-ALC are not using open standards for server and desktop software infrastructure the command has become totally dependent upon a single product line by one company. This has lead to spiraling costs through license upgrades when the product line changes with the operating system every 18 months to two years. Such a dependency has an inherit weakness because the health and security of the IT infrastructure is very dependent upon the health of the product line owner.
Objective of the CASI research project is to measure performance, security, dependability of the Red Hat Linux Advanced Server operating system against the Windows 2000 operating system. This objective thus requires an infrastructure, which requires three to four servers with Intel 64 bit CPU technology, and commercial off the shelf load enterprise testing software.
In addition, to provide direction to the RFP and subsequently to the proposal developer (the professor and/or students), please define the requirement (if any) for the use of the particular task:
Below is a list of example activities included for your use (but are not limited to):
Please provide the anticipated Project Period of Performance:
[x] Execution and Completion of Project between June 1 and August 31, 2003.
The required deliverable is a report showing a case by case comparison of Windows 2000 versus Linux Redhat 8.0. The report will include but not be limited to scaled performance metrics showing CPU and RAM load, NIC load, and Garbage Collection incidents per operating system on standalone versus clustered servers. Other measurements will be determined during meetings with program manager.