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arXiv · 2108.06893

Memtrade: A Disaggregated-Memory Marketplace for Public Clouds

Hasan Al Maruf·Yuhong Zhong·Hongyi Wang·Mosharaf Chowdhury·Asaf Cidon·Carl Waldspurger
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Abstract

We present Memtrade, the first memory disaggregation system for public clouds. Public clouds introduce a set of unique challenges for resource disaggregation across different tenants, including security, isolation and pricing. Memtrade allows producer virtual machines (VMs) to lease both their unallocated memory and allocated-but-idle application memory to remote consumer VMs for a limited period of time. Memtrade does not require any modifications to host-level system software or support from the cloud provider. It harvests producer memory using an application-aware control loop to form a distributed transient remote memory pool with minimal performance impact; it employs a broker to match producers with consumers while satisfying performance constraints; and it exposes the matched memory to consumers as a secure KV cache. Our evaluation using real-world cluster traces shows that Memtrade provides significant performance benefit for consumers (improving average read latency up to 2.8x) while preserving confidentiality and integrity, with little impact on producer applications (degrading performance by less than 2.1%).

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Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl Waldspurger. 2021-08-16. Memtrade: A Disaggregated-Memory Marketplace for Public Clouds. https://arxiv.org/abs/2108.06893

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