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Coordination Languages and Models for Open Distributed Systems

机译:开放式分布式系统的协调语言和模型

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摘要

Programming open distributed systems will be of rapidly growing importance in the coming decades to the scientists and engineers that will be using these techniques to solve society's most pressing problems. Even today, the authors see a growing number of critical applications such as MRI spin relaxometry, gene sequence analysis, climate modeling, and molecular modeling of potential bioactive compounds that require massive amounts of computation. The demands for intensive computational power will only grow in the future, as society tackles more complex problems. Existing concurrent programming languages are not well-suited to the development of open distributed systems. Middleware technologies provide the support for the development of open distributed systems. However, the technologies suffer the same problems of existing concurrent programming approaches which the software evolution of the systems are not supported well. The resulting systems are difficult to maintain due to the changes. This has led to the design and implementation of a variety of coordination models and languages for open distributed systems. The main purpose is to separate the concerns of the complexities including communication, coordination, computation, and heterogeneity in the development of open distributed systems. The models manage the concerns to improve the maintenance of the systems.
机译:在接下来的几十年中,对将使用这些技术解决社会最紧迫问题的科学家和工程师而言,对开放式分布式系统进行编程将变得越来越重要。即使在今天,作者们也看到了越来越多的关键应用,例如MRI自旋弛豫法,基因序列分析,气候建模以及需要大量计算的潜在生物活性化合物的分子建模。随着社会解决更复杂的问题,对密集计算能力的需求只会在未来增长。现有的并发编程语言不太适合开放式分布式系统的开发。中间件技术为开放式分布式系统的开发提供了支持。然而,这些技术遭受与现有并发编程方法相同的问题,这些问题不能很好地支持系统的软件发展。由于更改,所得的系统难以维护。这导致了开放式分布式系统的各种协调模型和语言的设计和实现。主要目的是在开放式分布式系统的开发中分离对复杂性的关注,包括通信,协调,计算和异构。这些模型可以解决问题,从而改善系统的维护。

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