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Cloud Resource Orchestration Programming: Overview, Issues, and Directions

机译:Cloud Resource Orchestration编程:概述,问题和指导

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摘要

Cloud computing provides on-demand access to affordable hardware (such as multicore CPUs, GPUs, disk drives, and networking equipment) and software (databases, application servers, load-balancers, data processors, and frameworks). The pervasiveness and power of cloud computing alleviates some of the problems that application administrators face in their existing hardware and locally managed software environments. However, the rapid increase in scale, dynamicity, heterogeneity, and diversity of cloud resources necessitates having expert knowledge about programming complex orchestration operations (for example, selection, deployment, monitoring, and runtime control) on those resources to achieve the desired quality of service. This article provides an overview of the key cloud resource types and resource orchestration operations, with special focus on research issues involved in programming those operations. The Web Extra can be found at https://s3.amazonaws.com/ieeecs.cdn.csdl.public/mags/ic/2015/05/mic2015050046s1.docx.
机译:云计算可按需访问负担得起的硬件(例如多核CPU,GPU,磁盘驱动器和网络设备)和软件(数据库,应用程序服务器,负载均衡器,数据处理器和框架)。云计算的普遍性和强大功能缓解了应用程序管理员在其现有硬件和本地管理的软件环境中面临的一些问题。但是,云资源的规模,动态性,异构性和多样性的快速增长,需要具备对这些资源上的复杂编排操作(例如,选择,部署,监视和运行时控制)进行编程的专家知识,以实现所需的服务质量。本文概述了关键的云资源类型和资源编排操作,并特别关注与编程这些操作有关的研究问题。可以在https://s3.amazonaws.com/ieeecs.cdn.csdl.public/mags/ic/2015/05/mic2015050046s1.docx上找到Web Extra。

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