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HOUSE_OVERSIGHT_015957

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Software 267 Horizontal abstraction is the simpler of the two to understand, and the more common. Computer systems are built ‘on the shoulders of giants. That is to say we no longer need to place individual pixels onto the computer screen. We can assume a computer will draw a square if we specify the dimension and coordinates of the center. That’s abstraction. Today’s computers are even more helpful. We can ask them to draw a rotating cube lit from a certain angle and the computer will do the whole job for us. But, there are always practical limitations to this. I want my cubes to move around the screen naturally but Iam not sure what physics model has been implemented. What will happen when they bump into each other? If the abstraction is not thoroughly thought through they pass through each other in a very odd way, breaking up and showing me they are really made of triangles, the illusion of three dimensions is lost. Whenever we work at an abstract level, we risk being exposed to its inner guts at some point. Joel Spolsky, a computer scientist who worked on Microsoft Excel, proposed the Law of Leaky Abstractions to explain this. An example of his law in action is the TCP/IP protocol stack that transports data over the Internet. The stack is hugely reliable, yet I have to debug one of these stacks at least four times a year! The problem is that the TCP (Transmission Control Protocol) is designed to provide reliable delivery of information: internet pages, my bank account and the like. But, the internet protocol ‘IP’ on which it relies is only designed for best-efforts. When a link loses a packet of information, the TCP has to retransmit it. This takes additional time. TCP provides an abstraction of a reliable connection, but the implementation is not as robust as it may seem, and the details leak through as variable latency and throughput. This explains why your web pages sometimes do not completely render. You are told it is reliable, but often it is not! Exper

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