Reducing Cross-Cloud/Region Costs with the Auto-Configuring MACARON Cache

An increasing demand for cross-cloud and cross-region data access is bringing forth challenges related to high data transfer costs and latency. In response, we introduce Macaron, an auto-configuring cache system designed to minimize cost for remote data access. A key insight behind Macaron is that cloud cache size is tied to cost, not hardware limits, shifting the way we think about cache design and eviction policies. Macaron dynamically configures cache size and utilizes a mix of cloud storage types to adapt to workload changes and reduce costs. We demonstrate that Macaron reduces cross-cloud workload costs by 65% and cross-region costs by 67%, mainly by reducing outgoing data transfer and by leveraging object storage alongside DRAM to reduce capacity cost.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3694715.3695972
Citations
3
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
2.34
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article

Reducing Cross-Cloud/Region Costs with the Auto-Configuring MACARON Cache

George Amvrosiadis, Hojin Park, Gregory R. Ganger, Ziyue Qiu
3 citations
Cloud Computing and Resource Management
2.34
article

Reducing Cross-Cloud/Region Costs with the Auto-Configuring MACARON Cache

George Amvrosiadis, Hojin Park, Gregory R. Ganger, Ziyue Qiu
article en
3 citations

Abstract

An increasing demand for cross-cloud and cross-region data access is bringing forth challenges related to high data transfer costs and latency. In response, we introduce Macaron, an auto-configuring cache system designed to minimize cost for remote data access. A key insight behind Macaron is that cloud cache size is tied to cost, not hardware limits, shifting the way we think about cache design and eviction policies. Macaron dynamically configures cache size and utilizes a mix of cloud storage types to adapt to workload changes and reduce costs. We demonstrate that Macaron reduces cross-cloud workload costs by 65% and cross-region costs by 67%, mainly by reducing outgoing data transfer and by leveraging object storage alongside DRAM to reduce capacity cost.

Carnegie Mellon University (US)
Climate action
Openalex Percentile: Top 9%
Cloud Computing and Resource Management
2.34
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