Tasks in modern data parallel clusters have highly diverse resource requirements, along
CPU, memory, disk and network. Any of these resources may become bottlenecks and …

Load balancer, as a key component in cloud computing, seeks to improve the performance
of a distributed system by allocating workload amongst a set of cooperating hosts. A good …

Deep neural networks (DNNs) have become core computation components within low
latency Function as a Service (FaaS) prediction pipelines. Cloud computing, as the defacto …

Resource overbooking is an admission control technique to increase utilization in cloud
environments. However, due to uncertainty about future application workloads, overbooking …

In cloud computing, load balancing is a very important performance factor. Frequent addition
and removal of Virtual Machines (VMs) can cause load imbalance across Host Machines …

Increasing energy costs of large-scale server systems have led to a demand for innovative
methods for optimizing resource utilization in these systems. Such methods aim to reduce …

With the rapid development of cloud computing, the demand for infrastructure resources in
cloud data centers has further increased, which has already led to enormous amounts of …

There is a dramatic increase in the variety of virtual machines (VMs) and complexity of VM
placement problems in clouds. Previous VM placement approaches attempt to …

To meet a myriad of customers' demands, a large number of virtual machines (VMs) have to
be provisioned simultaneously in cloud data centers. Provisioning is usually time consuming …

Virtualization makes virtual machine placement (VMP) one of the most important technology
in cloud computing. An effective VMP algorithm can significantly improve resource utilization …