To improve system resource utilization, consolidating multi-tenants' workloads on the
common computing infrastructure is a popular way for the cloud data center. The typical …

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 …

The workload co-location, such as deploying offline analysis workloads with online service
workloads on the same node, has become common for modern data centers. Workload co …

Long-running service workloads (eg web search engine) and short-term data analysis
workloads (eg Hadoop MapReduce jobs) co-locate in today's data centers. Developing …

In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …

Resource under-utilization is common in cloud data centers. Prior works have proposed
improving utilization by running provider workloads in the background, colocated with tenant …

Edge computing has become a recent approach to bring computing resources closer to the
end-user. While offline processing and aggregate data reside in the cloud, edge computing …

All computing infrastructure suffers from performance variability, be it bare-metal or
virtualized. This phenomenon originates from many sources: some transient, such as noisy …

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 …

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 …