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Design and Implementation of a Cache-based Granular Computing System

机译:基于缓存的粒度计算系统的设计与实现

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This paper presents a multilayer cache-based attribute granular computing system. It can be used to implement algorithms based on attribute granular computing. After defining an attribute granule, it brings forward an operation and storage model. Six basic mapping operations and three suitable storage patterns are designed for all kinds of attribute granular computing and storage. A cache-based storage management with schedule algorithm can improve the efficiency of data access and solve the problem which is caused by the limited memory capacity. Finally a hierarchy cache-based attribute granular computing system is implemented.
机译:本文介绍了基于多层缓存的属性粒度计算系统。它可用于基于属性粒度计算来实现算法。定义属性颗粒后,它会导致操作和存储模型。六种基本映射操作和三种合适的存储模式是为各种属性粒度计算和存储而设计的。具有调度算法的基于缓存的存储管理可以提高数据访问的效率并解决由有限的存储容量引起的问题。最后,实现了基于层次的基于缓存的属性粒度计算系统。

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