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A Cloud Resource Orchestration Framework for Simplifying the Management of Web Applications

机译:用于简化Web应用程序管理的云资源编排框架

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Cloud computing paradigm [1] has shifted the computing from physical hardware-and locally managed software-enabled platforms to virtualized cloud-hosted services. Cloud computing assembles large networks of virtualized services: hardware resources (CPU, storage, and network) and software resources (e.g., databases, load-balancers, monitoring systems, etc.). Key issue in exploiting the potential of cloud computing is "Resource Orchestration". Resource orchestration process spans across a range of operations from selection, assembly, and deployment of resources to monitoring their run-time performance statistics (e.g. load, availability, throughput, utilization, etc.). The process aims to ensure achievement of fault-tolerant and QoS fulfillment states by resources and applications through adaptive management. Existing cloud resource orchestration techniques require human familiarity with different types of resources and typically rely on procedural programming in general-purpose or scripting languages. The interaction with resources is mainly performed through low-level APIs and command line interfaces. Given the proliferation of new providers offering resources at different layers (e.g. software-as-a-service, platform-as-a-service, and infrastructure-as-a-service), such orchestration techniques are therefore inadequate to make the cloud resources accessible to a wide variety of users, particularly from non-IT domain.
机译:云计算范例[1]已将计算机从物理硬件和本地托管的软件的平台转移到虚拟化云托管服务。云计算组装大型虚拟化服务网络:硬件资源(CPU,存储和网络)和软件资源(例如,数据库,负载 - 平衡器,监控系统等)。利用云计算潜力的关键问题是“资源编排”。资源编排过程跨从选择,装配和部署资源的一系列操作来监视运行时性能统计信息(例如,加载,可用性,吞吐量,利用等)。该过程旨在通过自适应管理确保通过资源和应用来实现容错和QoS履行状态。现有的云资源编排技术需要对不同类型的资源进行人类熟悉,并且通常依赖于通用或脚本语言的程序编程。与资源的交互主要通过低级API和命令行接口进行。鉴于新提供者的扩散提供不同层的资源(例如软件 - AS-Service,Platform-As-Service和基础架构 - AS-Service),因此这种编排技术是不充分的,以制作云资源可以使用各种各样的用户,特别是来自非IT域。

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