Cloud data centers rely on virtualization to run a diverse set of applications. Container
technology allows for a more lightweight execution, in comparison with popular Virtual …

Virtualization enables the deployment of several virtual servers on the same physical layer,
critical component of the cloud. As cloud services advance, more apps that use repositories …

Edge computing is an extension of cloud computing where physical servers are deployed
closer to the users in order to reduce latency. Edge data centers face the challenge of …

Large-scale Internet applications running on data centers are typically instantiated as a set
of containers. Assigning a container to its affinity machine can reduce communication and …

With the development of edge-cloud computing technologies, distributed data centers (DCs)
have been extensively deployed across the global Internet. Since different …

Network management on multi-tenant container-based data center has critical impact on
performance. Tenants encapsulate applications in containers abstracting away details on …

The ever-expanding scale of cloud datacenters necessitates automated resource
provisioning to best meet the requirements of low latency and high energy-efficiency …

Cloud computing is a computing service provided on demand through the Internet, which
can provide sufficient computing resources for applications such as big data and the Internet …

Resource optimization has always been a big challenge in modern data centers. The
process of performing workload consolidation on a minimal number of physical machines is …

Co-location, which deploys long running applications and batch-processing applications in
the same computing cluster, has become a promising way to improve resource utility for …