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24 Jan 08

Simple Home File Server (Based On Ubuntu) | HowtoForge - Linux Howtos and Tutorials

The server is built with Ubuntu Server 7.10 & Samba. Do not use Ubuntu Server 5.04 LTS because this version does not support the latest SATA Controllers (in an Pentium II or III you likely want to use a PCI SATA RAID controller to attach SATA hard disks).

www.howtoforge.com/ubuntu-home-fileserver - Preview

file server ubuntu

  • The existing tutorials do not describe how to add additional disks or have a
    complex authorization or access procedure. Freenas (www.freenas.org) does have too many
    features for home users and more important it does not support the NTFS
    format. 
22 Apr 06

FOCUS on Linux: Securing Linux Part One


  • This paper does not cover procedures for securing a machine that is
    already on a network. As a rule, no machine should be placed on any network
    prior to its having been secured against local and remote attack. If a
    machine has already been compromised, none of the following procedures will
    improve the system's security. In most cases, depending on the skill of the
    intruder, the machine will likely already be trojaned or backdoored. Applying
    the following security procedures on such a machine would only provide a
    false sense of security.

SEDA - Architecture for Highly-Concurrent Server Applications


  • SEDA is an acronym for staged event-driven architecture, and
    decomposes a complex, event-driven application into a set of
    stages connected by queues. This design
    avoids the high overhead associated with thread-based concurrency
    models, and decouples event and thread scheduling from application
    logic. By performing admission control on each
    event queue, the service can be well-conditioned to load, preventing
    resources from being overcommitted when demand exceeds service
    capacity.
    SEDA employs dynamic control to automatically tune runtime parameters
    (such as the scheduling parameters of each stage), as well as to
    manage load, for example, by performing adaptive load shedding.
    Decomposing services into a set of stages also enables modularity and
    code reuse, as well as the development of debugging tools for complex
    event-driven applications.
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