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008 | 150903s2013 gw | o |||| 0|eng d | ||
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_a9783642381232 _99783642381232 |
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024 | 7 |
_a10.1007/9783642381232 _2doi |
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_a201509030622 _bVLOAD _c201405070314 _dVLOAD _y201402210947 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQA75.5-76.95 | |
100 | 1 |
_aRaynal, Michel. _eautor _9299430 |
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245 | 1 | 0 |
_aDistributed Algorithms for Message-Passing Systems / _cby Michel Raynal. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_axxxI, 500 páginas 198 ilustraciones, 106 ilustraciones en color. _brecurso en línea. |
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_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aPart 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. | |
520 | _aDistributed 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. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783642381225 |
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_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-38123-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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