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Distributed Algorithms for Message-Passing Systems

Autor Michel Raynal
en Limba Engleză Hardback – 10 iul 2013

În volumul Distributed Algorithms for Message-Passing Systems, Michel Raynal explorează fundamentul sistemelor distribuite moderne, concentrându-se pe modelul rețelelor asincrone unde entitățile cooperează exclusiv prin schimb de mesaje. Considerăm această lucrare esențială deoarece, spre deosebire de calculul paralel axat pe eficiență, calculul distribuit prezentat aici vizează „stăpânirea incertitudinii” — de la comportamente instabile și mobilitate, până la absența unei stări globale instantanee. Descoperim o structură riguroasă în șase părți care ghidează cititorul prin complexitatea execuțiilor distribuite. Primele secțiuni tratează algoritmii de grafuri și traversarea rețelelor, evoluând natural spre nucleul cărții: timpul logic și stările globale în sisteme asincrone. Un element distinctiv este modul în care autorul abordează excluderea mutuală, alocarea resurselor și abstractizările de comunicare de nivel înalt. Cititorul care a aplicat ideile din Distributed Algorithms de Nancy A. Lynch va găsi aici o completare necesară prin focalizarea specifică pe modelul message-passing asincron, oferind o perspectivă mai aplicată asupra modului în care se pot simula sisteme sincrone peste infrastructuri asincrone. Această lucrare se poziționează ca un pilon central în opera lui Michel Raynal, făcând tranziția de la studiile sale despre toleranța la erori din Fault-Tolerant Message-Passing Distributed Systems către o teorie generală a algoritmilor asincroni. Progresia didactică este susținută de obiective capitulare precise și exerciții care transformă conceptele teoretice, precum checkpointing-ul sau detecția proprietăților, în instrumente de lucru concrete pentru ingineria sistemelor complexe.

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Specificații

ISBN-13: 9783642381225
ISBN-10: 3642381227
Pagini: 532
Ilustrații: XXXI, 500 p.
Dimensiuni: 160 x 241 x 33 mm
Greutate: 0.96 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Upper undergraduate

De ce să citești această carte

Recomandăm această carte inginerilor de software și studenților la informatică care doresc să înțeleagă mecanismele interne ale sistemelor distribuite. Veți câștiga o bază teoretică solidă pentru a proiecta algoritmi robuști capabili să gestioneze asincronia și lipsa unei memorii partajate centrale. Este un ghid practic care transformă incertitudinea rețelelor în sisteme previzibile prin logică algoritmică și structuri de date distribuite.


Despre autor

Michel Raynal este un profesor și cercetător de renume european în domeniul sistemelor distribuite, afiliat la IRISA (Rennes, Franța). Expertiza sa vastă este reflectată într-o serie de lucrări fundamentale care analizează abstractizările de comunicare și protocoalele de acord în medii predispuse la erori. Prin lucrări precum Concurrent Crash-Prone Shared Memory Systems, Raynal s-a impus ca o autoritate în definirea modelelor teoretice care rămân valabile în ciuda schimbărilor tehnologice rapide, punând accent pe corectitudinea și verificabilitatea algoritmilor în sisteme informatice de scară largă.


Descriere scurtă

Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with 'efficiency', and real-time computing is mainly concerned with 'on-time computing', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity.
 
While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies.
 
This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.

Cuprins

Part I  Distributed Graph Algorithms.- Chap. 1  Base Definitions and Network Traversal Algorithms.- Chap. 2  Distributed Graph Algorithms.- Chap. 3  An Algorithmic Framework to Compute Global Functions on a Process Graph.- Chap. 4  Leader Election Algorithms.- Chap. 5  Mobile Objects Navigating a Network.- Part II  Logical Time and Global States in Distributed Systems.- Chap. 6  Nature of Distributed Computations and the Concept of a Global State.- Chap. 7  Logical Time in Asynchronous Distributed Systems.- Chap. 8  Asynchronous Distributed Checkpointing.- Chap. 9  Simulating Synchrony on Top of Asynchronous Systems.- Part III  Mutual Exclusion and Resource Allocation.- Chap. 10  Permission-Based Mutual Exclusion Algorithms.- Chap. 11  Distributed Resource Allocation.- Part IV  High-Level Communication Abstractions.- Chap. 12  Order Constraints on Message Delivery.- Chap. 13  Rendezvous and Synchronous Communication.- Part V  Detection of Properties on Distributed Executions.- Chap. 14  Distributed Termination Detection.- Chap. 15  Distributed Deadlock Detection.- Part VI  Distributed Shared Memory.- Chap. 16  Atomic Consistency (Linearizability).- Chap. 17  Sequential Consistency.- Afterword.- Bibliography.- Index.

Recenzii

“The aim of this book is to present in a comprehensive way basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an underlying network. … This book is useful for senior-level undergraduate students and graduate students in computer science with basic knowledge of algorithms and operating systems.” (T. C. Mohan, Mathematical Reviews, November, 2015)
“This book offers balanced coverage of the major topics encountered in courses on modern distributed computations. The text is primarily intended for courses on distributed systems; it can be used for both undergraduate and postgraduate courses. … Overall, this title is an instructive and valuable book that deserves to be studied.” (Dimitrios Katsaros, Computing Reviews, June, 2014)
“The book presents in well structured manner the basic concepts and algorithms currently used in distributed systems based on message passing. … The book can be used as textbook by undergraduate students in distributed systems. What distinguishes this book from similar ones are the text accessibility and the well organization of a classical material. Many figures and pseudo-codes are helping the understanding of the algorithms.” (Dana Petcu, zbMATH, Vol. 1282, 2014)

Notă biografică

Prof. Michel Raynal is among the top researchers in the world on the topic of distributed algorithms. He is a full professor at the Université de Rennes where he founded the Distributed Algorithms research group in 1984. He has been the principal investigator in numerous related research national and international projects, and he has been invited by more than 25 universities around the world to give lectures on distributed algorithms and distributed computing. He has over 300 academic publications on this topic, and has authored a number of books on related topics. His current research interests include distributed algorithms, distributed computing systems, distributed computability and dependability; and the fundamental principles that underlie the design and the construction of distributed computing systems.

Caracteristici

Constitutes an introduction to distributed computing Author among the leading researchers in the area of distributed computing Textbook features include summaries, keywords, bibliographic notes and exercises for each chapter Includes supplementary material: sn.pub/extras