Workload characterization plays an important role in resource allocation and performance
optimization. In order to improve the resource utilization, cloud providers like Google and …

With the development of Cloud computing, many applications are deployed on the Clouds
(either public Clouds or private Clouds) for the elastic resource management. A key …

Workload characterization is critical for resource management and scheduling. Recently,
with the fast development of container technique, more and more cloud service providers …

Cloud computing with large-scale datacenters provides great convenience and cost-
efficiency for end users. However, the resource utilization of cloud datacenters is very low …

To improve resource utilization and thereby reduce costs, leading cloud infrastructure
operators such as Google and Alibaba co-locate transient batch jobs with long-running …

While workload colocation improves cluster utilization in cloud environments, it introduces
performance-impacting contentions on unmanaged resources. We address the problem of …

Although cloud computing became a mainstream industrial computing paradigm, low
resource utilization remains a common problem that most warehouse-scale datacenters …

Workload characteristics are vital for both data center operation and job scheduling in co-
located data centers, where online services and batch jobs are deployed on the same …

Serverless computing is a cloud-based execution paradigm that allows provisioning
resources on-demand, freeing developers from infrastructure management and operational …

Serverless is a new online services paradigm of cloud computing for running extremely
resilient and short-lived applications. Reducing the cost of running services is a critical goal …