CacheNet: Leveraging the Principle of Locality in Reconfigurable Network Design

摘要

Emerging optical communication technologies support the dynamic reconfiguration of datacenter network topologies depending on the traffic they serve. However, to reap the benefits of such demand-aware networks, a control logic is required which allows to quickly learn and adapt to traffic patterns. This paper presents CacheNet, a novel approach to efficiently control demand-aware networks. CacheNet leverages temporal and spatial locality in the traffic by managing the reconfigurable links of the optical switches as a links-cache. Network traffic, in turn, can be served either by a link from the link-cache component or by a demand-oblivious topology component. We study several classic caching algorithms and provide an analytical model which captures their performance benefits compared to an all demand-oblivious topology. Our analytical results show that based on the hit ratios and the links-cache size, our hybrid design can outperform designs that are based only on demand-oblivious topology.