Computer Science Speaking Skills Talks
— 4:30pm
Location:
In Person
-
Gates Hillman 8102
Speaker:
HOJIN PARK
,
Ph.D. Student, Computer Science Department, Carnegie Mellon University
https://hojinp.github.io/
TMACARON: Multi-cloud/region Aware Cache Auto-ReconfiguratiON
The increasing demand for multi-cloud and multi-region data access brings 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 sizes are tied to cost limitations, not hardware limits, shifting the way we have been thinking about cache design and eviction policies.
Macaron dynamically configures cache size and storage type mix, adapting to workload changes and often utilizing object storage as a cost-efficient option for most cache contents. We demonstrate that Macaron can reduce multi-cloud workload costs by 92% and multi-region costs by 88%, mainly by reducing outgoing data transfer.
Presented in Partial Fulfillment of the CSD Speaking Skills Requirement.