Optimized Virtual Machine Placement with Traffic-Aware Balancing in Data Center Networks

Communication-Aware Traffic Stream Optimization for Virtual Machine Placement in Cloud Datacenters with VL2 Topology

By pervasiveness of cloud computing, a colossal amount of applications from gigantic organizations increasingly tend to rely on cloud services. These demands caused a great number of applications in form of couple of virtual machines (VMs) requests to be executed on data centers’ servers. Some of applications are as big as not possible to be processed upon a single VM. Also, there exists severa...

A Traffic and Power-aware Algorithm for Virtual Machine Placement in Cloud Data Center

In cloud computing model, virtualized resources is provided to customers as a service over the Internet with reasonable price. This model effectively helps customers focus on their creative business because computing resources are provided on demand by cloud provider. Because of the convenient for cloud customers, the demand for cloud resource grows, thus make cloud data center enlarge and ener...

Network-aware virtual machine placement in cloud data centers with multiple traffic-intensive components

Following a shift from computing as a purchasable product to computing as a deliverable service to consumers over the Internet, cloud computing has emerged as a novel paradigm with an unprecedented success in turning utility computing into a reality. Like any emerging technology, with its advent, it also brought new challenges to be addressed. This work studies network and traffic aware virtual...

An efficient traffic-aware virtual machine placement algorithm (TVMP)

An RTT-Aware Virtual Machine Placement Method

Virtualization is a key technology for mobile cloud computing (MCC) and the virtual machine (VM) is a core component of virtualization. VM provides a relatively independent running environment for different applications. Therefore, the VM placement problem focuses on how to place VMs on optimal physical machines, which ensures efficient use of resources and the quality of service, etc. Most pre...