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DETERMINING SERVER LEVEL AVAILABILITY AND RESOURCE ALLOCATIONS BASED ON WORKLOAD LEVEL AVAILABILITY REQUIREMENTS

机译:根据工作负荷水平可用性要求确定服务器水平可用性和资源分配

摘要

An approach is provided for determining availabilities of servers in multiple tiers of a workload. A Monte Carlo approach is performed on a non-linear program resulting from availability and resource constraints being added to an optimization problem which includes a workload availability requirement, resource requirements for redundancy groups (RGs) in the workload, sets of server sizes, and sets of availability categories. Feasible solutions to the optimization problem are generated and each includes a cloud site hosting the workload, a number of servers in an RG, server sizes of the servers in the RG, categories of availability of the servers in the RG, and a number of servers in the RG that are required to be active for the RG to be available. A cost of achieving the requirement of the availability of the workload is minimized by performing a Pareto analysis of the feasible solutions.
机译:提供了一种用于确定工作负荷的多层中的服务器的可用性的方法。在非线性程序上执行蒙特卡洛方法,这是由于可用性和资源约束被添加到优化问题而产生的,该问题包括工作负载可用性要求,工作负载中冗余组(RG)的资源要求,服务器大小集和集合可用性类别。生成了针对优化问题的可行解决方案,每个解决方案包括一个托管工作负载的云站点,一个RG中的服务器数量,该RG中服务器的服务器大小,该RG中服务器的可用性类别以及许多服务器要使RG可用,必须在RG中激活它。通过对可行解决方案进行Pareto分析,可以最大程度地降低实现工作负载可用性要求的成本。

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