Practical Distributed Processing (Undergraduate Topics in Computer Science)

Practical Distributed Processing (Undergraduate Topics in Computer Science)

Phillip J. Brooke

Language: English

Pages: 262

ISBN: 1846288401

Format: PDF / Kindle (mobi) / ePub

Distributed processing has a strong theoretical foundation, but many day-to-day practitioners make limited use of the advantages this theory can give them. The result includes unreliable systems with obscure and intermittent failures, that can cost time, money and in extreme cases, lives. Reliable construction of distributed and concurrent systems must incorporate theory in practice. This book provides a concise presentation of the theory closely linked to the practical realization of these concepts. This highly practical presentation contains all the elements needed for a complete development of a distributed system. The book includes examples from C, Java and Eiffel, and sample code is available online.

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other systems and the greater outside world (e.g., a network, or the Internet). Things outside of the system are clearly out of our control and failures that originate outside of the system may still need to be managed from within the system. This requires the system to be fault tolerant. The key to making a system fault tolerant is to mask failures, to prevent them propagating through the system and to catch them as early as possible. The most well-known and practised technique for fault

Communicating Sequential Processes A classic example of a process algebra is Hoare’s Communicating Sequential Processes [29], CSP. Others include Milner’s Calculus of Communicating Systems and Bergstra and Klop’s Algebra of Communicating Processes. CSP has found application in a range of areas including communication protocol design, cryptographic protocol analysis and systems design. A model checker FDR2 (for Failures-Divergence Refinement) is often used to check properties over systems. We can

instead of having to think about the layout of files on disk. Common services such as access to networks. Protection mechanisms between clients, so that malicious or faulty clients cause little or no damage to the system. We will look at protection more broadly in Chapter 7. Operating systems comprise a large amount of software. The exact boundary between application software and operating system software is arguable. For example, all general-purpose, networked computers have facilities such as –

75 /∗ Bind the socket to the address . ∗/ if (bind(s1, ( struct sockaddr ∗) &a, sizeof(a)) == 0) printf (”Bound socket\n”); else { perror(”Could not bind socket”); exit (EXIT FAILURE); } /∗ Listen on the socket . ∗/ printf (”Setting socket to listen ... ” ); if ( listen (s1, 5) != 0) { perror(”Problem listening on s1” ); exit (EXIT FAILURE); } printf (” listening on socket\n”); /∗ Now loop forever . ∗/ while (1) { printf (”Waiting for inbound connection...\n”); /∗ Accept the next connection . ∗/

course, limits on the accuracy of clocks (just think about how accurate your own watch is). There are also limits on the accuracy with which clocks on a network can synchronise. Dealing with timing issues in distributed systems is a critical problem, which we briefly discuss in later chapters. – Failures: In a distributed system that relies on independent components, it is an unhappy reality that these components can fail (e.g., due to errors in software, or hardware faults, or erroneous input

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