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Switching via memory The simplest, earliest routers were often traditional computers, with switching between input and output port being done under direct control of the CPU (routing processor) Input and output ports functioned as traditional I/O devices in a traditional operating system An input port with an arriving datagram first signaled the routing processor via an interrupt The packet was then copied from the input port into processor memory The routing processor then extracted the destination address from the header, looked up the appropriate output port in the routing table, and copied the packet to the output port's buffers Note that if the memory bandwidth is such that B packets/sec can be written into, or read from, memory, then the overall switch throughput (the total rate at which packets are transferred from input ports to

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Now the applet can run code like this: T t = the pointer tagged T; U u = the pointer tagged U; t.x = System.getSecurity(); // the Security Manager MyObject m = u.x;

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The wide variance in the downtime caused by hardware according to the two surveys is most interesting. We believe that hardware is causing less downtime than it used to, as hardware components are getting more and more reliable over time, and because the most delicate components (disks and power supplies) tend to have the greatest amount of redundancy applied to them. When a disk or power supply fails on a critical system, its workload is often switched over to an identical component with little or no evident downtime being caused. The most obvious common causes for system outages are probably software failures. Software bugs are perhaps the most difficult source of failures to get out of the system. As hardware becomes more reliable, and methods are employed to reduce planned outages, their percentages will decrease, while the percentage of outages attributed to software issues will increase. As software becomes more complex, software-related outages may become more frequent on their own. Of course, as software development and debugging techniques become more sophisticated, software-related outages should become less prevalent. It will be very interesting to see whether software-related downtime increases or decreases over time.

output ports) must be less than B/2

At its simplest level, availability, whether high, low, or in between, is a measure of the time that a server is functioning normally. We offer a simple equation to calculate availability: MTBF A= MTBF + MTTR Where A is the degree of availability expressed as a percentage, MTBF is the mean time between failures, and MTTR is the maximum time to repair or resolve a particular problem. Some simple observations:

Many modern routers also switch via memory A major difference from early routers, however, is that the lookup of the destination address and the storing (switching) of the packet into the appropriate memory location is performed by processors on the input line cards In some ways, routers that switch via memory look very much like shared memory multiprocessors, with the processors on a line line card storing datagrams into the memory of the appropriate output port Cisco's Catalyst 8500 series switches [Cisco 1998a] and Bay Networks Accelar 1200 Series routers switch packets via a shared memory

The result is that the object ends up with a pointer, tagged as having type MyObject, to the memory representing Java's Security Manager object. By changing the fields of m, the applet can then change the Security Manager, even though the Security Manager's fields have been declared private. While this example showed how type confusion can be used to corrupt the Security Manager, the tactic may be exploited to corrupt virtually any part of the running Java system.

External events such as a disk filling up can cause application failures. In this section, we look at system-level failures that create headaches for applications, and some common workarounds or early detection steps. We also cover network programming interactions and dependencies, since some network-based applications don t restart well after they have failed and been restarted. We cover the easy ones (memory exhaustion and I/O errors) first, then look at how network failures impact application flow.

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