Name
Abstract | ||
|---|---|---|
Power consumption is a major concern for cloud data-centers. In this context, cloud-native applications emerged in the last few years and fostered the adoption of the cloud computing model across many organizations. Cloud-native workloads are highly heterogeneous, co-located and latency-sensitive and are able to scale to a high number of machines. To properly manage their power consumption, within this paper we propose Power REgulator for Service Time Optimization (PRESTO), a latency-aware power-capping orchestrator. PRESTO defines an Observe Decide Act (ODA) loop to manage power consumption and average latency of microservice-based workloads by considering all the network interactions between microservices in the cluster. PRESTO reduces the power consumption by 37.13% on average with a control error that is below 12.5% and below 1.5ms on average w.r.t. an unconstrained execution. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ACSOS49614.2020.00021 | 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) |
Keywords | DocType | ISBN |
Autonomic power management,Latency awareness,Container orchestration | Conference | 978-1-7281-7278-1 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rolando Brondolin | 1 | 5 | 3.55 |
| Marco D. Santambrogio | 2 | 771 | 91.15 |