Tail latency is the key performance metric for cloud computing systems (CCSs). When
latency-critical (LC) applications and best-effort batch (BE) jobs are co-located on CCSs, the …

Serverless computing has seen rapid adoption because of its instant scalability, flexible
billing model, and economies of scale. In serverless, developers structure their applications …

Modern latency-critical online services often rely on composing results from a large number
of server components. Hence the tail latency (eg The 99th percentile of response time) …

As the production, storage, and analysis of data become increasingly integral to the success
of modern businesses, and as data becomes increasingly kaleidoscopic due to the influx of …

To utilize various resources efficiently, cloud data centers usually deploy Latency-Critical
(LC) and Best-Effort (BE) applications as containers in their physical machines by assigning …

Software-Defined Networking not only addresses the shortcoming of traditional network
technologies in dealing with frequent and immediate changes in cloud data centers but also …

As continual evolution of virtualization technology and cloud computing paradigm, modern
data centers consolidate various application to run with less servers. However, co-locating …

Private IaaS clouds are an attractive environment for scientific workloads and applications. It
provides advantages such as almost instantaneous availability of high-performance …

The increase in usage of cloud data centers in recent years has led to high utilization of
resources. Allocating of new virtual machines (VMs), disabling of existing hosts, and existing …

As cloud computing is moving forward rapidly, cloud providers have been encountering
great challenges: long tail latency, low utilization, and high interference. They intend to co …