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Embedded Systems Architecture

Embedded Systems Architecture

By : Daniele Lacamera
3.9 (8)
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Embedded Systems Architecture

Embedded Systems Architecture

3.9 (8)
By: Daniele Lacamera

Overview of this book

Embedded systems are self-contained devices with a dedicated purpose. We come across a variety of fields of applications for embedded systems in industries such as automotive, telecommunications, healthcare and consumer electronics, just to name a few. Embedded Systems Architecture begins with a bird's eye view of embedded development and how it differs from the other systems that you may be familiar with. You will first be guided to set up an optimal development environment, then move on to software tools and methodologies to improve the work flow. You will explore the boot-up mechanisms and the memory management strategies typical of a real-time embedded system. Through the analysis of the programming interface of the reference microcontroller, you'll look at the implementation of the features and the device drivers. Next, you'll learn about the techniques used to reduce power consumption. Then you will be introduced to the technologies, protocols and security aspects related to integrating the system into IoT solutions. By the end of the book, you will have explored various aspects of embedded architecture, including task synchronization in a multi-threading environment, and the safety models adopted by modern real-time operating systems.
Table of Contents (13 chapters)
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RAM

"640 KB of memory ought to be enough for everyone"
– Bill Gates (founder and former director of Microsoft)

This famous statement has been cited many times in the past three decades to underline the progress in technology and the outstanding achievements of the PC industry. While it may sound like a joke for many software engineers out there, it is still in these figures that embedded programming has to be thought about, more than 30 years after MS-DOS was initially released.

Although most embedded systems are capable of breaking that limit today, especially due to the availability of external DRAM interfaces, the simplest devices that can be programmed in C may have as little as 4 KB of RAM available to implement the entire system logic. Obviously this has to be taken into account when approaching the design of an embedded system, by estimating the amount of memory potentially needed for all the operations that the system has to perform, and the buffers that may be used at any time to communicate with peripherals and nearby devices.

The memory model at the system level is simpler than that of PCs and mobile devices. Memory access is typically done at the physical level, so all the pointers in your code are telling you the physical location of the data they are pointing to. In modern computers, the operating system is responsible for translating physical addresses to a virtual representation of the running tasks. The advantage of the physical-only memory access on those systems that do not have an MMU is the reduced complexity of having to deal with address translations while coding and debugging. On the other hand, some of the features implemented by any modern OS, such as process swapping and dynamically resizing address spaces through memory relocation, become cumbersome and sometimes impossible.

Handling memory is particularly important in embedded systems. Programmers who are used to writing application code expect a certain level of protection to be provided by the underlying OS. In fact, a virtual address space does not allow memory areas to overlap, and the OS can easily detect unauthorized memory accesses and segmentation violations, it then promptly terminates the process and avoids having the whole system compromised. On embedded systems, especially when writing bare-metal code, the boundaries of each address pool must be checked manually. Accidentally modifying a few bits in the wrong memory, or even accessing a different area of memory, may result in a fatal, irrevocable error. The entire system may hang, or, in the worst case, become unpredictable. A safe approach is required when handling memory in embedded systems, in particular when dealing with life-critical devices. Identifying memory errors too late in the development process is complex and often requires more resources than forcing yourself to write safe code and protecting the system from a programmer's mistakes.

Proper memory-handling techniques are explained in Chapter 5, General Purpose Peripherals.

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Embedded Systems Architecture
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