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Figure 14.13 shows that both slotted Aloha and pure Aloha lead to very high throughput in these conditions. Although slotted Aloha leads to a slightly higher value of throughput, the difference is quite small, of the order of 0.05%. As one would expect, however, the gap between the two strategies increases as the number of terminals (and as a consequence the offered traf c) increases. Figure 14.14, on the other hand, shows an interesting result. In the considered low traf c scenarios, where the advantage of slotted Aloha over pure Aloha is not signi cant in terms of throughput, the slotted Aloha approach leads to a higher delay. This is due to the fact that in pure Aloha a packet is sent immediately, as soon as it is inserted in the queue, and thus in absence of high packet error rates, the delay is limited to the packet transmission time over the channel. Conversely, in the case of slotted Aloha the packet remains in average a time TSLOT =2 in the queue, where TSLOT is the duration of the slot, waiting for the beginning of the rst slot after the insertion in the queue (the rst useful for transmitting the packet). This accounts for the difference of about 1 ms in the average delay between the two strategies, remembering that we chose packets of 2000 bits, with a transmission time over the channel TTRANSMIT TSLOT 2 ms. In conclusion, simulation results show that, in all considered scenarios, the processing gain guaranteed by UWB is high enough to manage the traf c without appreciable effects of MUI. This con rms that, thanks to the MUI robustness guaranteed by impulse radio, the (UWB)2 MAC protocol is a suitable solution for low data rate UWB networks. REFERENCES

R-GMA has a distributed architecture consisting of agents, producers, consumers, producer consumers, registry (mediator) and naming schema (Figure 5.14): R-GMA clients (user code) are written by users to provide or consume information within R-GMA. User code interacts with agents through the agent APIs. In Figure 5.14 the boxes labelled Producer and Consumer represent user code, while the inner boxes represent the agent API. The agent API interacts with generic R-GMA agents that abstract the user from the underlying infrastructure. An Agent is the implementation of a producer or consumer component that performs R-GMA operations on behalf of the user code. An agent shields the user code from R-GMA implementation details and provides support for tasks such as registration, remote agent and data location, and schema management. In Figure 5.14, agents are represented by the producer and consumer servlets. A Producer is a component that makes available resource information for consumers to query. Producers register the type of

Halvar Flake first proposed the use of the Unhandled Exception Filter in at the Blackhat Security Briefings in Amsterdam in 2001. When no handler can dispatch with an exception, or if no handler has been specified, the Unhandled Exception Filter is the last-ditch handler to be executed. It s possible for an application to set this handler using the SetUnhandledExceptionFilter() function. The code behind this function is presented here:

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11/19/2008

6.1 6.2 6.3 6.4 Introduction Scheduling Paradigms How Scheduling Works A Review of Condor, SGE, PBS and LSF

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public class ConverterBean implements SessionBean { // Constructor and life-cycle methods ... // Application specific server methods, signatures // to match methods in "remote" interface ... }