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Not all problems involve the failure of a component. Making a resource unavailable to requestors is just as harmful to system availability as having that resource crash or fail. For example, a web server that is being bombarded by an exceptionally high request rate, absorbing all of the network connection capacity of the servers, appears to have failed to any web users attempting to access it. It hasn t failed in the downtime sense, but it has been made unavailable through a denial-of-service (DoS) attack. DoS approaches have been well known in security circles for several years, and in February 2000, the first wide-scale distributed DoS (DDoS) attack known as trin or trin00 affected several popular web sites. DoS attacks consume all available bandwidth for a given resource, ranging from network bandwidth and network connections to web server request handling and database requests.
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At the end of January 2003, my parents called me from Newark Airport, proud that their routine of arriving more than two hours early for their flight paid off handsomely. They had waited in line close to an hour for check-in because the counter agents were reduced to writing paper tickets and checking passengers in manually. A DoS attack that affected web and database servers had impacted one of the airline s ticketing systems, slowing service to a crawl. The Web brought immediate access to a wide variety of back-end systems directly to the consumer, and it also exposed those systems to all of the vagaries of the Internet. Hal
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The following are some characteristic DoS attacks: Network bandwidth flooding. A torrent of packets, valid or garbage, consumes all of your incoming network bandwidth. This type of attack typically causes routers or switches to begin dropping legitimate traffic. Network connection flooding. An attempt by an attacker to send a series of ill-formed connection requests, filling up the incoming connection queue on web servers, database servers, or other back-end machines. The half-completed connection requests remain enqueued until they timeout, and of course more requests arrive during that interval, keeping the server s network stack overloaded. CGI or web interface abuse. A script or utility accessed by your web server is called repeatedly, or called with arguments that cause it to consume CPU, memory, or network resources. In many cases, these attacks may be signs of a security intrusion, with an attacker looking for a mail relay or other unsecured entry point. The SQLslammer attack in early 2003 fit this model loosely, with incoming requests attempting to access back-end database servers through well-known interfaces on publicfacing web sites. DoS attacks are likely to become more common. Vendors frequently offer patches or workarounds for the more common DoS approaches; for example, one way to combat the network connection flooding attack is to put in-progress connections in a separate queue and then prune the badly behaved connections out of the queue at shorter intervals, freeing up connection slots for real work.
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Measuring the availability of a system, or making investment decisions aimed at improving that availability, depends on having confidence in the data you collect. The relative value of your measurements is colored by three factors: Is the metric the right one, is the metric valid over time, and can you use the metric to drive a process of improvement
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Let s say your system fails because the operating system panics. It reboots, restarts applications such as web servers and databases, and continues on as before the failure. What s the probability of another failure due to an operating system panic In all likelihood, it s exactly the same as it was before the reboot. There are many cases, however, in which repairing a system changes the
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