With the increasing demand for high performance of remote resource access in transparent computing, there is a requirement to design a multi-level cache framework to alleviate the network latency. Existing cache frameworks in CPU and web systems cannot be applied simply because the remote resource access architecture needs to be extended to support multi-level cache, and the ways that resources are accessed in transparent computing require specific designs. In this article, we propose a multi-level cache framework for remote resource access in transparent computing. Based on the low latency feature of edge computing, we extend the remote resource access architecture to an architecture with multi-level caches by setting caches on the edge devices with low network latency. Then we design a hybrid multi-level cache hierarchy and make corresponding cache policies. Through a case study, we show the effectiveness of our design. Finally, we discuss several future research issues for deploying the proposed multi-level cache framework.

中文翻译：

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透明计算中远程资源访问的多级缓存框架


随着透明计算中对远程资源访问高性能的需求不断增加，需要设计多级缓存框架来缓解网络延迟。 CPU和Web系统中现有的缓存框架无法应用，因为远程资源访问架构需要扩展以支持多级缓存，并且透明计算中资源的访问方式需要特定的设计。在本文中，我们提出了一种用于透明计算中远程资源访问的多级缓存框架。基于边缘计算的低延迟特性，我们通过在低网络延迟的边缘设备上设置缓存，将远程资源访问架构扩展到多级缓存的架构。然后我们设计了混合多级缓存层次结构并制定了相应的缓存策略。通过案例研究，我们展示了我们设计的有效性。最后，我们讨论了部署所提出的多级缓存框架的几个未来研究问题。