A method for evaluating the relative performance of local, cloud and combined processing of divisible (i.e. partitionable) data loads is presented. It is shown how to do this in the context of Amdahl's law. A single level (star) network operating under each of three fundamental scheduling policies is used as an example. Applications include mobile computing, cloud computing and signature searching.
翻译:介绍了一种方法,用以评价本地云、云的相对性能,并综合处理可变(即可分割的)数据载荷,在Amdahl的法律范围内说明了如何做到这一点,以三个基本列表政策中每个政策下的单一级(星)网络为例,应用包括移动计算、云计算和签名搜索。