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and force an entire network to slow down while packets that were jammed are re-sent by all the computers that attempted to communicate during the jam Hubs will also allow any computer to see the packets sent by other computers on the hub Do not use hubs unless you have a very explicit reason to do so, because they can act as potential collision centers and cause security breaches Switches are more advanced than hubs and provide expandability, allowing more switches, ports, and computers to exist on a network Switches perform collision detection and isolate traffic between the source of a packet and its destination Because each computer is not automatically able to see all the traffic from other computers, this is a more secure communications environment.

If we had taken all the effort we put into these crazy schemes and put it into moving our software development schedule ahead by the equivalent amount, it would have paid off much more That was probably the biggest mistake we made And that s the advice I give everybody All those little coupon schemes, this is what General Motors does They figure out new rebate schemes because they forgot all about how to design cars people want to buy But when you still remember how to make software people want, great, just improve it Talk to your customers Find out what they need Don t pay any attention to the competition They re not relevant to you Only talk to your customers and your potential customers and see what it is that caused them not to buy your product or would cause them to buy more copies of it.

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catch blocks inside your code so that the exceptions never make it out into the TPL in the first place..

The final concurrency feature we re going to look at is data parallelism. This is where concurrency is driven by having lots of data items, rather than by explicitly creating numerous tasks or threads. It can be a simple approach to parallelism because you don t have to tell the .NET Framework anything about how you want it to split up the work. With tasks, the .NET Framework has no idea how many tasks you plan to create when you create the first one, but with data parallelism, it has the opportunity to see more of the problem before deciding how to spread the load across the available logical processors. So in some scenarios, it may be able to make more efficient use of the available resources.

And do that, and then ship it That was something we really, really should have focused on, but, you know, we didn t know any better..

The Parallel class provides a couple of methods for performing data-driven parallel execution. Its For and ForEach methods are similar in concept to C# for and foreach loops, but rather than iterating through collections one item at a time, on a system with multiple logical processors available it will process multiple items simultaneously. Example 16-24 uses Parallel.For. This code calculates pixel values for a fractal known as the Mandelbrot set, a popular parallelism demonstration because each pixel value can be calculated entirely independently of all the others, so the scope for parallel execution is effectively endless (unless machines with more logical processors than pixels become available). And since it s a relatively expensive computation, the benefits of parallel execution are easy to see. Normally, this sort of code would contain two nested for loops, one to iterate over the rows of pixels and one to iterate over the columns in each row. In this example, the outer loop has been replaced with a Parallel.For. (So this particular code cannot exploit more processors than it calculates lines of pixels therefore, we don t quite have scope for per-pixel parallelism, but since you would typically generate an image a few hundred pixels tall, there is still a reasonable amount of scope for concurrency here.)

Switches are less likely to become flooded with collisions and more likely to offer faster throughput and lower latency than hubs in multiswitched environments Although switches are more expensive than hubs, they are far less expensive than network downtime often caused by hubs Hubs do still have limited usefulness in networks Switches respond to loops, hubs do not When a cable is plugged into a switch twice, it can cause unwanted network traffic In areas where many users are plugging in their laptops, a cable can get plugged back into a switch by accident, and some network administrators will use a hub to keep this from occurring Additionally, protocol analyzers connected to switches do not always receive all the desired packets since the switch separates the ports into different segments Connecting a protocol analyzer to a hub will allow it to see all the traffic on the network segment.

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