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I want to develop a program for MCB1700 evaluation board.
Client software of PC reads a picture from HDD.
Then it sends the picture to MCB1700 evaluation board through socket (Ethernet).
Server of MCB1700 receives pictures from PC through Socket-connection and displays it on LCD.
Also server must perform such tasks:
To save picture to USB-stick;
To read picture from USB-stick and send it to client through socket;
To send and receive information through CAN
COM-logging.
etc.
Socket connection can be implemented with help of CMSIS and RL-ARM libraries.
But, as far as I understood, in both cases sofrware has to listen for incoming TCP-connection and handle network's events in an endless loop - All examples of Keil are based on such principle.
I always thought, that it is a poor way for embedded programming to use endless loops.
Moreover, I read such interesting statement
"it is certainly possible to create real-time programs without an RTOS
(by executing one or more tasks in a loop)"
http://www.keil.com/support/man/docs/rlarm/rlarm_ar_artxarm.htm
So, as I understood, it is normal practice to execute a lot of tasks in loop?
while (1) {
task1();
task2();
...
taskN();
}
I think that it is better to handle all events by interrupts.
Is it possible to use socket conection of CMSIS and RL-ARM libraries and organize all my software by handling of interrupts?
My server (on MCB1700) has to perform a lot of tasks. I guess, I should use RTOS RTX in my software. Isn't it so? Is it better to implement my software without RTX?
Simple real-time systems often operate in a "big-loop" architecture, with some time critical events handled by interrupts. It is not a "bad" architecture, bit it is somewhat inflexible, scales poorly, and any change may affect the timing of and or all parts of the system.
It is not true that RL-TCPnet must work this way, but it is designed to run stand alone, and the examples work that way so that there are no dependencies on other libraries for the widest applicability. They are only examples and are intended to demonstrate RL-TCPnet and nothing else. In that sense the examples are not realistic and should be adapted to your requirements.
You might devise a system where all your application code runs in interrupt handlers and the network stack is services in an endless-loop in the thread context, but architecturally that is probably far worse than the "big-loop" architecture, since you may end up with very long interrupt handlers, with the higher priority ones starving and affecting the real-time response of lower priority ones. You end up with a system that is difficult to schedule satisfactorily. Moreover not all library routines are suitable for execution in an interrupt handler, so it would be rather restrictive.
It is possible to service the network stack in a low priority thread in an RTOS. The framework for such operation is described in the documentation in the section: Using RL-TCPnet with RTX kernel.. This will require you to understand and use the RL-RTX kernel library, but given your reservations about "big loop" code, and the description of tasks your system must perform, it sounds like that is what you want to do in any case. If you choose to use a different RTOS, then RL-TCPnet can work in a similar way with any RTOS.
I am looking for a message queue which would replicate messages across a cluster of servers. I am aware that this will cause a performance hit, but that's what the requirements are - message persistence is very important.
The replication can be asynchronous, but it should be there - if there's a large backlog of messages waiting for processing, they shouldn't be lost.
So far I didn't manage to find anything from the well-known MQs. HornetQ for example supported message replication in 2.0 but in 2.2 it seems to be removed. RabbitMQ doesn't replicate messages at all, etc.
Is there anything out there that could meet my requirements?
There are at least three ways of tackling this that come to mind, depending upon how robust you need the solution to be.
One: pick any messaging tech, then replicate your disk-storage. Using something like DRBD you can have the file-backed storage copied to another machine under the covers. If your primary box dies, you should be able to restart on your second machine from the replicated files.
Two: Keep looking. There are various commercial systems that definitely do this, two such (no financial benefit on my part) are Informatica Ultra Messaging (formerly 29West) and Solace. These are commonly used in the financial community.
Three: build your own. ZeroMQ is one such toolkit that you could use to roll-your-own system from pre-built messaging blocks. Even a system that does not officially support it could fairly easily be configured to publish all messages to two queues. Your reader would have to drain both somehow, so this may well be a non-starter, but possible in any case.
Overall: do test your performance assumptions, as all of these will have various performance implications in various scenarios.
Amazon SQS is designed with this very thing in mind, but because of the consistency model (which is a part of messaging anyway), you're responsible for de-duplicating messages on the consumer side. Granted, SQS maybe somewhat slow and the costs can add up for lots of messages, but if you want to guarantee that no messages are lost, then it's a pretty solid way to go.
new Kafka 0.8.1 offers replication!
First the background, specifics of my question will follow:
At the company that I work at the platform we work on is currently the Microchip PIC32 family using the MPLAB IDE as our development environment. Previously we've also written firmware for the Microchip dsPIC and TI MSP families for this same application.
The firmware is pretty straightforward in that the code is split into three main modules: device control, data sampling, and user communication (usually a user PC). Device control is achieved via some combination of GPIO bus lines and at least one part needing SPI or I2C control. Data sampling is interrupt driven using a Timer module to maintain sample frequency and more SPI/I2C and GPIO bus lines to control the sampling hardware (ie. ADC). User communication is currently implemented via USB using the Microchip App Framework.
So now the question: given what I've described above, at what point would I consider employing an RTOS for my project? Currently I'm thinking of these possible trigger points as reasons to use an RTOS:
Code complexity? The code base architecture/organization is still small enough that I can keep all the details in my head.
Multitasking/Threading? Time-slicing the module execution via interrupts suffices for now for multitasking.
Testing? Currently we don't do much formal testing or verification past the HW smoke test (something I hope to rectify in the near future).
Communication? We currently use a custom packet format and a protocol that pretty much only does START, STOP, SEND DATA commands with data being a binary blob.
Project scope? There is a possibility in the near future that we'll be getting a project to integrate our device into a larger system with the goal of taking that system to mass production. Currently all our projects have been experimental prototypes with quick turn-around of about a month, producing one or two units at a time.
What other points do you think I should consider? In your experience what convinced (or forced) you to consider using an RTOS vs just running your code on the base runtime? Pointers to additional resources about designing/programming for an RTOS is also much appreciated.
There are many many reasons you might want to use an RTOS. They are varied & the degree to which they apply to your situation is hard to say. (Note: I tend to think this way: RTOS implies hard real time which implies preemptive kernel...)
Rate Monotonic Analysis (RMA) - if you want to use Rate Monotonic Analysis to ensure your timing deadlines will be met, you must use a pre-emptive scheduler
Meet real-time deadlines - even without using RMA, with a priority-based pre-emptive RTOS, your scheduler can help ensure deadlines are met. Paradoxically, an RTOS will typically increase interrupt latency due to critical sections in the kernel where interrupts are usually masked
Manage complexity -- definitely, an RTOS (or most OS flavors) can help with this. By allowing the project to be decomposed into independent threads or processes, and using OS services such as message queues, mutexes, semaphores, event flags, etc. to communicate & synchronize, your project (in my experience & opinion) becomes more manageable. I tend to work on larger projects, where most people understand the concept of protecting shared resources, so a lot of the rookie mistakes don't happen. But beware, once you go to a multi-threaded approach, things can become more complex until you wrap your head around the issues.
Use of 3rd-party packages - many RTOSs offer other software components, such as protocol stacks, file systems, device drivers, GUI packages, bootloaders, and other middleware that help you build an application faster by becoming almost more of an "integrator" than a DIY shop.
Testing - yes, definitely, you can think of each thread of control as a testable component with a well-defined interface, especially if a consistent approach is used (such as always blocking in a single place on a message queue). Of course, this is not a substitute for unit, integration, system, etc. testing.
Robustness / fault tolerance - an RTOS may also provide support for the processor's MMU (in your PIC case, I don't think that applies). This allows each thread (or process) to run in its own protected space; threads / processes cannot "dip into" each others' memory and stomp on it. Even device regions (MMIO) might be off limits to some (or all) threads. Strictly speaking, you don't need an RTOS to exploit a processor's MMU (or MPU), but the 2 work very well hand-in-hand.
Generally, when I can develop with an RTOS (or some type of preemptive multi-tasker), the result tends to be cleaner, more modular, more well-behaved and more maintainable. When I have the option, I use one.
Be aware that multi-threaded development has a bit of a learning curve. If you're new to RTOS/multithreaded development, you might be interested in some articles on Choosing an RTOS, The Perils of Preemption and An Introduction to Preemptive Multitasking.
Lastly, even though you didn't ask for recommendations... In addition to the many numerous commercial RTOSs, there are free offerings (FreeRTOS being one of the most popular), and the Quantum Platform is an event-driven framework based on the concept of active objects which includes a preemptive kernel. There are plenty of choices, but I've found that having the source code (even if the RTOS isn't free) is advantageous, esp. when debugging.
RTOS, first and foremost permits you to organize your parallel flows into the set of tasks with well-defined synchronization between them.
IMO, the non-RTOS design is suitable only for the single-flow architecture where all your program is one big endless loop. If you need the multi-flow - a number of tasks, running in parallel - you're better with RTOS. Without RTOS you'll be forced to implement this functionality in-house, re-inventing the wheel.
Code re-use -- if you code drivers/protocol-handlers using an RTOS API they may plug into future projects easier
Debugging -- some IDEs (such as IAR Embedded Workbench) have plugins that show nice live data about your running process such as task CPU utilization and stack utilization
Usually you want to use an RTOS if you have any real-time constraints. If you don’t have real-time constraints, a regular OS might suffice. RTOS’s/OS’s provide a run-time infrastructure like message queues and tasking. If you are just looking for code that can reduce complexity, provide low level support and help with testing, some of the following libraries might do:
The standard C/C++ libraries
Boost libraries
Libraries available through the manufacturer of the chip that can provide hardware specific support
Commercial libraries
Open source libraries
Additional to the points mentioned before, using an RTOS may also be useful if you need support for
standard storage devices (SD, Compact Flash, disk drives ...)
standard communication hardware (Ethernet, USB, Firewire, RS232, I2C, SPI, ...)
standard communication protocols (TCP-IP, ...)
Most RTOSes provide these features or are expandable to support them
I have few queries related with going in for an RTOS for the different processors in hand. These are generic questions. Maybe you can clarify with examples specific to any processor/rtos or even generally. How to determine if a processor can support a RTOS ? How to know if the processor requires a RTOS ?
Does a processor requires an RTOS?
No - you don't require an RTOS. You can have a sophisticated embedded application running without one. The applications that I am working on currently does not have an RTOS.
We have to think about scheduling various tasks in our application, and have to write code that schedules these tasks. We achieve most of it by simply using software timers and timeslicing different tasks as we deem appopriate. However, having an RTOS can make the process a lot easier by scheduling different parts of your code seamlessly, and you don't really have to worry about taking care of that then.
You have to consider a few things when you choose an RTOS. How much RAM does your processor have? How much FLASH do you have? You don't want to put an expensive chip on your board, and a heavy RTOS, if you don't need all the features of it.
For basic scheduling stuff, you can get relatively small RTOS's, that are not huge and that will do most things you want quite efficiently.
e.g. Free RTOS is open source and is roughly 9K's only
You can also choose to use RTOS' like VxWorks or Embedded Linux that do a whole lot more, but are either expensive or huge or both.
In the end, the RTOS you use really depends on what your application's needs are, and how much memory you have to spare for it.
This is another "how long is a piece of string" question, but I will give it +1 for being interesting.
Second point first. I don't think that a processor can require an RTOS; I would rather say that an application can.
As to whether a processor can support an RTOS, your principle questions are going to be how heavily you load it, how many events it must handle & how much processing they require, etc, and also the availability of interrupt handling mechanisms, etc.
Do you have a particular processor, ROTS, application in mind, or is this just a general question?
No processor REQUIRES an RTOS. RT is a feature of the programming, not something a processor can DEMAND.
EVERY processor that I know of supports RTOS - a hardware interrupt will interrupt at next instruction. It is basically the OS that stops that and handles things in a non-real-time fashion.
Why would a processor require and RTOS? After all an RTOS is just software running directly on the hardware, that software could equally be your application running directly on the hardware instead. That part of your question makes little sense. Now if you have a processor designed to run say Java code by executing bytecode in hardware, it would not make sense to use that processor with anything other than a JVM as the foundation for an application, but I cannot think of a processor that is so tailored to RTOS implementation that you could not use it without an RTOS.
Now with respect to whether a processor can support an RTOS the simplest way is to see if there is a commercial RTOS already implemented for it. Most processor vendors will ensure that such support is in place from one or more third-parties before a chip is generally available. Generally I would suggest that anything with an interrupt mechanism and timer hardware can support an RTOS or at least a scheduler of some sort given sufficient resources. However there are some very resource constrained microcontrollers where it would simply make no sense.
In one of the answers to Broadcast like UDP with the Reliability of TCP, a user mentions the Spread messaging API. I've also run across one called ØMQ. I also have some familiarity with MPI.
So, my main question is: why would I choose one over the other? More specifically, why would I choose to use Spread or ØMQ when there are mature implementations of MPI to be had?
MPI was deisgned tightly-coupled compute clusters with fast, reliable networks. Spread and ØMQ are designed for large distributed systems. If you're designing a parallel scientific application, go with MPI, but if you are designing a persistent distributed system that needs to be resilient to faults and network instability, use one of the others.
MPI has very limited facilities for fault tolerance; the default error handling behavior in most implementations is a system-wide fail. Also, the semantics of MPI require that all messages sent eventually be consumed. This makes a lot of sense for simulations on a cluster, but not for a distributed application.
I have not used any of these libraries, but I may be able to give some hints.
MPI is a communication protocol while Spread and ØMQ are actual implementation.
MPI comes from "parallel" programming while Spread comes from "distributed" programming.
So, it really depends on whether you are trying to build a parallel system or distributed system. They are related to each other, but the implied connotations/goals are different. Parallel programming deals with increasing computational power by using multiple computers simultaneously. Distributed programming deals with reliable (consistent, fault-tolerant and highly available) group of computers.
The concept of "reliability" is slightly different from that of TCP. TCP's reliability is "give this packet to the end program no matter what." The distributed programming's reliability is "even if some machines die, the system as a whole continues to work in consistent manner." To really guarantee that all participants got the message, one would need something like 2 phase commit or one of faster alternatives.
You're addressing very different APIs here, with different notions about the kind of services provided and infrastructure for each of them. I don't know enough about MPI and Spread to answer for them, but I can help a little more with ZeroMQ.
ZeroMQ is a simple messaging communication library. It does nothing else than send a message to different peers (including local ones) based on a restricted set of common messaging patterns (PUSH/PULL, REQUEST/REPLY, PUB/SUB, etc.). It handles client connection, retrieval, and basic congestion strictly based on those patterns and you have to do the rest yourself.
Although appearing very restricted, this simple behavior is mostly what you would need for the communication layer of your application. It lets you scale very quickly from a simple prototype, all in memory, to more complex distributed applications in various environments, using simple proxies and gateways between nodes. However, don't expect it to do node deployment, network discovery, or server monitoring; You will have to do it yourself.
Briefly, use zeromq if you have an application that you want to scale from the simple multithread process to a distributed and variable environment, or that you want to experiment and prototype quickly and that no solutions seems to fit with your model. Expect however to have to put some effort on the deployment and monitoring of your network if you want to scale to a very large cluster.