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Rather than going further with definitions, it is probably more helpful to give several examples of distributed systems. As a first example, consider a network of workstations in a university or company department. In addition to each user’s personal workstation, there might be a pool of processors in the machine room that are not assigned to specific users but are allocated dynamically as needed. Such a system might have a single file system, with all files accessible from all machines in the same way and using the same path name. Furthermore, when a user typed a command, the system could look for the best place to execute that command, possibly on the user’s own workstation, possibly on an idle workstation belonging to someone else, and possibly on one of the unassigned processors in the machine room. If the system as a whole looked and acted like a classical single-processor timesharing system, it would qualify as a distributed system.. At a more technological level, many companies make memory boards for the IBM PC. When the CPU wants to read a word from memory, it puts the address and certain control signals on the bus. The memory board is expected to see these signals and respond by putting the word requested on the bus within a certain time interval. If the memory board observes the required bus protocol, it will work correctly, otherwise it will not.. 2.2.3. The ATM Layer. 2.3.4. Blocking versus Nonblocking Primitives. One solution is just to forbid pointers and reference parameters in general. However, these are so important that this solution is highly undesirable. In fact, it is not necessary either. In theread example, the client stub knows that the second parameter points to an array of characters. Suppose, for the moment, that it also knows how big the array is. One strategy then becomes apparent: copy the array into the message and send it to the server. The server stub can then call the server with a pointer to this array, even though this pointer has a different numerical value than the second parameter ofread has. Changes the server makes using the pointer (e.g., storing data into it) directly affect the message buffer inside the server stub. When the server finishes, the original message can be sent back to the client stub, which then copies it back to the client. In effect, call-by-reference has been replaced by copy/restore. Although this is not always identical, it frequently is good enough.. Synchronous systems are impossible to build, so we need to investigate other types of systems, with weaker requirements on time. Aloosely synchronous systemis one like that of Fig. 2-37(b), in which events take a finite amount of time but all events appear in the same order to all parties. In particular, all processes receive all messages in the same order. Earlier, we discussed essentially the same idea under the name consistent time ordering.. 1. P sends anELECTION message to all processes with higher numbers.. Two potential schedules are given in Fig. 4-31(a) and (b). Messages between tasks on different processors are depicted as arrows here; messages between tasks on the same machine are handled internally and are not shown. Of the two schedules illustrated, the one in Fig. 4-31(b) is a better choice because it allows task 5 to run early, thus making it possible for task 8 to start earlier. If task 5 is delayed significantly, as in Fig. 4-31(a), then tasks 8 and 9 are delayed, which also means that 6 and eventually 10 are delayed, too.. As usual in computer science, you never get something for nothing. Client caching introduces inconsistency into the system. If two clients simultaneously read the same file and then both modify it, several problems occur. For one, when a third process reads the file from the server, it will get the original version, not one of the two new ones. This problem can be defined away by adopting session semantics (officially stating that the effects of modifying a file are not supposed to be visible globally until the file is closed). In other words, this “incorrect” behavior is simply declared to be the “correct” behavior. Of course, if the user expects UNIX semantics, the trick does not work.. printed 1 or any value other than 2 would quickly lead to a lot of very agitated programmers (in this chapter,print is a procedure that prints its parameter or parameters). . 7.5.3. The Fast Local Internet Protocol. To establish a connection, an Amoeba process does an RPC with the TCP/IP server giving it a TCP/IP address. The caller is then blocked until the connection has been established or refused. In the reply, the TCP/IP server provides a capability for using the connection. Subsequent RPCs can send and receive packets from the remote machine without the Amoeba process having to know that TCP/IP is being used. This mechanism is less efficient than FLIP, so it is used only when it is not possible to use FLIP.. The per-process items also include scheduling parameters. These include the ability to specify which processors the process’ threads can run on. This feature is most useful on a multiprocessor system. For example, the process can use this power to force each thread to run on a different processor, or to force them all to run on the same processor, or anything in between. In addition, each process has a default priority that is settable. When a thread is created, the new thread is given this priority. It is also possible to change the priority of all the existing threads.. 10.3.4. Performing an RPC. The PAC obtained in step 3 is encrypted with the authentication server/ticket-granting server’s secret key. The importance of this choice is that throughout the session, the client may need PACs for several application servers. To get a PAC for use with an application server, the client executes step 4. Here the PAC is sent to the ticket-granting server, which first decrypts it. Since the decryption works, the ticket-granting server is immediately convinced that the PAC is legitimate, and then it reencrypts it for the client’s choice of server, in this case,S..