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Middleware, framework and novel computing models for grid and cloud service orchestration

机译:网格和云服务编排的中间件,框架和新颖的计算模型

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Highly scalable, resilient commodity hardware along with the availability of huge amounts of data allow consumers and companies to access to a wide range of high-value services through a payper-use, pay-As-you-go model. The increasing need for intelligent services at large scale is bringing providers to optimise the use of resources in order to meet the increasing web-scale demand. Programming models are evolving to address the high complexity of service composition, which need resiliency and efficiency. Algorithms and technologies for intelligent orchestration allow multiple owners of cloud and grid infrastructures to satisfy customer requirements and business constraints. We assist in the development of new architectures, frameworks, middlewares and computing models, as well as innovative applications, aimed at supporting scientists and business analysts in the development of unified computing frameworks and data analysis at large scale. This paper summarises a number of contributions given in the area of distributed cloud and grid computing, with particular emphasis on service orchestrations and emergent applications for high-value services.
机译:高度可扩展的,有弹性的商品硬件以及大量数据的可用性使消费者和公司可以通过按使用付费,按使用付费的模式来访问各种高价值服务。对大规模智能服务的日益增长的需求使提供商能够优化资源的使用,以满足不断增长的网络规模的需求。编程模型正在发展以解决服务组合的高度复杂性,而服务组合的复杂性需要弹性和效率。智能编排的算法和技术允许云和网格基础架构的多个所有者满足客户需求和业务约束。我们协助开发新的体系结构,框架,中间件和计算模型以及创新的应用程序,旨在支持科学家和业务分析人员大规模开发统一的计算框架和数据分析。本文总结了在分布式云和网格计算领域中做出的许多贡献,尤其着重于服务编排和高价值服务的新兴应用。

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