The Actor Model In Distributed Computing
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The Actor Model in Distributed Computing
"The Actor Model in Distributed Computing" "The Actor Model in Distributed Computing" is a comprehensive and authoritative exploration of one of the most influential paradigms in concurrent and distributed systems. This book meticulously traces the theoretical foundations and evolution of the actor model, contrasting its core concepts—such as encapsulated state and asynchronous messaging—with alternative concurrency approaches like shared memory and process calculi. Through clear exposition, readers are empowered to grasp the model’s intrinsic expressiveness, modularity, and the contexts in which it excels, while becoming aware of its practical limitations. Delving beyond fundamentals, the book offers an in-depth examination of engineering robust actor-based systems. It details essential programming constructs and architectural patterns, from actor creation, supervision, and message queuing, to sophisticated mechanisms for distribution transparency, state migration, and fault tolerance in large-scale deployments. Topics such as scheduling, load balancing, system optimization, and the unique challenges of memory and resource management are handled with both breadth and technical rigor, making the work an invaluable resource for practitioners and architects seeking to maximize reliability and performance. "The Actor Model in Distributed Computing" stands out for its practical guidance and broad ecosystem coverage. Readers will find comparative reviews of leading actor frameworks—including Erlang, Akka, and Orleans—alongside security best practices, formal verification techniques, and recipes for testing and monitoring distributed actor systems. The closing chapters illuminate advanced topics and current research frontiers, like distributed transactions, cloud-native deployments, and the future of actors in edge and serverless computing. With its blend of foundational theory and pragmatic design-oriented insight, this book is essential reading for anyone building next-generation distributed applications.
Actors: A Model of Concurrent Computation in Distributed Systems
A foundational model of concurrency is developed in this thesis. It examines issues in the design of parallel systems and show why the actor model is suitable for exploiting large-scale parallelism. Concurrency in actors is constrained only by the availability of hardware resources and by the logical dependence inherent in the computation. Unlike dataflow and functional programming, however, actors are dynamically reconfigurable and can model shared resources with changing local state. Concurrency is spawned in actors using asynchronous message-passing, pipelining, and the dynamic creation of actors. The author defines an abstract actor machine and provide a minimal programming language for it. A more expressive language, which includes higher level constructs such as delayed and eager evaluation, can be defined in terms of the primitives. Examples are given to illustrate the ease with which concurrent data and control structures can be programmed. This thesis deals with some central issues in distributed computing. Specifically, problems of divergence and deadlock are addressed. Additional keywords: Object oriented programming; Semantics.
Programming Distributed Computing Systems
An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems. Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of concurrent computing and then introduces the programming languages that help develop distributed computing systems at a high level of abstraction. The major theories of concurrent computation—including the π-calculus, the actor model, the join calculus, and mobile ambients—are explained with a focus on how they help design and reason about distributed and mobile computing systems. The book then presents programming languages that follow the theoretical models already described, including Pict, SALSA, and JoCaml. The parallel structure of the chapters in both part one (theory) and part two (practice) enable the reader not only to compare the different theories but also to see clearly how a programming language supports a theoretical model. The book is unique in bridging the gap between the theory and the practice of programming distributed computing systems. It can be used as a textbook for graduate and advanced undergraduate students in computer science or as a reference for researchers in the area of programming technology for distributed computing. By presenting theory first, the book allows readers to focus on the essential components of concurrency, distribution, and mobility without getting bogged down in syntactic details of specific programming languages. Once the theory is understood, the practical part of implementing a system in an actual programming language becomes much easier.