一种基于多云提供商的资源分配的视频点播应用

S. Sankar, M. Sumalatha
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引用次数: 1

摘要

视频流应用已经成为互联网上最常见的应用之一。云计算提供了一种弹性基础设施,云管理代理可以使用它来获取满足需求的流资源。多云提供商支持不同的平台,并提供不断变化的功能包。一个问题是决定在云中保留的资源的正确数量及其保留时间,以使云管理代理上的服务质量不受影响。我们提出了一种实现MBRA算法进行资源预留的方法,该方法可以最大限度地利用关税提供的折扣率,同时确保在云中保留足够的资源。MBRA算法是为了降低做出错误资源分配决策的风险而设计的,它依赖于对流容量需求的预测。支持跨多个云提供商的财务控制的托管云提供商可以帮助维护服务质量和服务级别协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A resource allocation based multi - Cloud providers for VoD applications
Video streaming application has become one of the most familiar applications in the internet. Cloud computing offers an elastic infrastructure that Cloud Management Agents can use to obtain streaming resources that match the demand. Multi cloud providers support different platforms and offer constantly changing packages of capabilities. A problem is to decide on both the correct quantity of resources reserved in the cloud & their reservation time such that the quality of service on the Cloud Management Agent is not get affected. We suggest a method to implement MBRA algorithm for resource reservation that maximally exploits discounted rates offered in tariffs, while ensuring that sufficient resources are reserved in the cloud. MBRA algorithm is designed to reduce the risk of making wrong resource allocation decisions and its depends on the prediction of demand for streaming capacity. A managed cloud provider that supports financial controls across multiple cloud providers can help to maintain quality of service and service level agreement.
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