C Lu, H Xu, K Ye, G Xu, L Zhang, G Yang… - Proceedings of the …, 2023 - dl.acm.org
To fully utilize computing resources, cloud providers such as Google and Alibaba choose to co-locate online services with batch processing applications in their data centers. By …
D Li, C Chen, J Guan, Y Zhang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
With the tremendous growth of cloud computing, it is increasingly critical to provide quantifiable performance to tenants and to improve resource utilization for the cloud …
An effective way to increase utilization and reduce costs in datacenters is to co-locate their latency-critical services and batch workloads. In this paper, we describe systems that harvest …
Service providers want to reduce datacenter costs by consolidating workloads onto fewer servers. At the same time, customers have performance goals, such as meeting tail latency …
J Guo, Z Chang, S Wang, H Ding, Y Feng… - Proceedings of the …, 2019 - dl.acm.org
Cloud platform provides great flexibility and cost-efficiency for end-users and cloud operators. However, low resource utilization in modern datacenters brings huge wastes of …
Multi-tenancy in modern datacenters is currently limited to a single latency-critical, interactive service, running alongside one or more low-priority, best-effort jobs. This limits …
Cloud service providers improve resource utilization by co-locating latency-critical (LC) workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC …
L Tomás, J Tordsson - Proceedings of the 2013 ACM Cloud and …, 2013 - dl.acm.org
Despite the potential given by the combination of multi-tenancy and virtualization, resource utilization in today's data centers is still low. We identify three key characteristics of cloud …
Online Internet applications see dynamic workloads that fluctuate over multiple time scales. This paper argues that the non-stationarity in Internet application workloads, which causes …