Get Free Shipping on orders over $89
Synthesis Lectures on Distributed Computing Theory : Synthesis Lectures on Distributed Computing Theory - Ayrat Kalimov

Synthesis Lectures on Distributed Computing Theory

By: Ayrat Kalimov, Swen Jacobs, Roderick Bloem, Igor Konnov

Paperback | 29 September 2015

At a Glance

Paperback


$74.99

or 4 interest-free payments of $18.75 with

 or 

Ships in 5 to 7 business days

While the classic model checking problem is to decide whether a finite system satisfies a specification, the goal of parameterized model checking is to decide, given finite systems ����(n) parameterized by n ∈ ℕ, whether, for all n ∈ ℕ, the system ����(n) satisfies a specification. In this book we consider the important case of ����(n) being a concurrent system, where the number of replicated processes depends on the parameter n but each process is independent of n. Examples are cache coherence protocols, networks of finite-state agents, and systems that solve mutual exclusion or scheduling problems. Further examples are abstractions of systems, where the processes of the original systems actually depend on the parameter. The literature in this area has studied a wealth of computational models based on a variety of synchronization and communication primitives, including token passing, broadcast, and guarded transitions. Often, different terminology is used in the literature, and results are based on implicit assumptions. In this book, we introduce a computational model that unites the central synchronization and communication primitives of many models, and unveils hidden assumptions from the literature. We survey existing decidability and undecidability results, and give a systematic view of the basic problems in this exciting research area.

More in Algorithms & Data Structures

Addiction by Design : Machine Gambling in Las Vegas - Natasha Dow Schll
How to Prove It : A Structured Approach - Daniel J. Velleman

RRP $73.95

$70.75

Python for Algorithmic Trading : From Idea to Cloud Deployment - Yves Hilpisch
Learning Algorithms : A Programmer's Guide to Writing Better Code - George Heineman
Digital Minds 1.0 : AI Welfare, Ethics, and Beyond - Soenke Ziesche

RRP $252.00

$219.75

13%
OFF
Digital Minds 1.0 : AI Welfare, Ethics, and Beyond - Soenke Ziesche

RRP $103.00

$91.75

11%
OFF
Knowledge Graph and Semantic Web Technology based XAI - T. Poongodi
The Metaverse : Hype or Hoax? - Kapil Sharma

RRP $103.00

$91.75

11%
OFF
Mathematical Foundations of Deep Learning : Theory and Algorithms - Xiaojing Ye