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SEMAPHORES In 1965 one of the most prolific contributors to computer science proposed the construct of a semaphore which could be used to provide mutual exclusion and to avoid the requirement for busy waiting Edgar Dijkstra proposed that the operating system execute a short series of instructions atomically to provide such a service The operating system can execute several instructions atomically, because the operating system can turn the interrupt system off while the code for a semaphore is being executed Basically, the semaphore is a short section of code that operates on an integer variable A semaphore offers two operations Dijkstra (from the Netherlands) called these operations proberen (P, or test) and verhogen (V, or increment) As time has passed, other names for these methods have included wait, down, and sleep for P, and signal, up, and wake for V.

public Concordance(String file) { int lineNumber = 0; try { Scanner input = new Scanner(new File(file)); while (input.hasNextLine()) { String line = input.nextLine(); ++lineNumber; StringTokenizer parser = new StringTokenizer(line, ",.;:()-! ' "); while (parser.hasMoreTokens()) { String word = parser.nextToken().toUpperCase(); String listing = map.get(word); if (listing == null) { listing = "" + lineNumber; } else { listing += ", " + lineNumber; } map.put(word,listing); } } input.close(); } catch(IOException e) { System.out.println(e); } } public void write(String file) { try { PrintWriter output = new PrintWriter(file); for (Map.Entry<String,String> entry : map.entrySet()) { output.println(entry); } output.close(); } catch(IOException e) { System.out.println(e); } } }

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The hash table is defined at line 2. It has type java.util.HashMap<String,String>, which means that both its key and value fields have type String. Its constructor at line 4 takes the name of the input file as its argument. It uses a java.util.Scanner object to read the file line by line. Each line is parsed by a java.util.StringTokenizer object named parser, defined at line 11. Note that the parser uses as

Multiple names for the same operations can make it difficult to read different accounts of semaphores, but the idea is simple When a process or thread invokes the P operation, the semaphore P method decrements the integer, and if the value is now less than 0, the operating system blocks the process Later, some other process will invoke the V operation using the same semaphore The V operation will increment the value of the integer, and if the integer value is now equal to or greater than zero, the process that was blocked will be unblocked The semaphore construct is very flexible Its integer value can be initialized to allow for a variety of uses Most often it is initialized to 1, which allows the first process access via the P operation, and blocks any other process until the first process completes its critical section and executes the V operation.

CHAP. 8]

delimiters all of the 11 characters in the string ",.;:()-! '". Each parsed word is used as a key in the hash table. The corresponding value is the string of line numbers that is accumulated at lines 16 and 18. The write() method at line 29 uses a for-each loop to print the concordance to the specified file. At line 32, the map s entrySet() method returns a set of elements of type Map.Entry<String,String>. These are the key/value pairs that are stored in the hash table. Each key is a word from the input file and its entry is the list of the line numbers of the lines where that word appears in the text. Here is the test program:

A semaphore also may be initialized to 0, which will cause the first process that executes a P operation to block Some other process will have to execute a V operation on the same semaphore before the first process will be unblocked Programmers can use this mechanism to insure that one of two processes always executes first A semaphore also may be initialized to some number greater than 1, say 3 That would allow the first three attempts to execute the P operation to succeed without blocking To show how this might be useful, here is an example of two cooperating programs where one produces a series of n items to be consumed by the other (this is the producer consumer problem, much like the server thread worker thread example we discussed earlier)..

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public class TestConcordance public static final String public static final String public static final String

CHAP. 6]

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