Results 11 to 20 of about 456,270 (290)
VM placement in non-homogeneous IaaS-clouds [PDF]
Infrastructure-as-a-Service (IaaS) cloud providers often combine different hardware components in an attempt to form a single infrastructure. This single infrastructure hides any underlying heterogeneity and complexity of the physical layer.
Roussopoulos, M. +2 more
core +4 more sources
CloudBench: an integrated evaluation of VM placement algorithms in clouds [PDF]
A complex and important task in the cloud resource management is the efficient allocation of virtual machines (VMs), or containers, in physical machines (PMs).
Sosa-Sosa, Victor J. +3 more
core +5 more sources
VM placement with effective energy management in cloud using optimal VM allocation framework (OVAF) [PDF]
The performance of servers at the data centers is affected when the servers are overloaded. To overcome this problem, the workload at the overloaded servers has to be redistributed to other servers which is possible with live VM migration. Live migration
T. R. Gopalakrishnan Nair +3 more
core +3 more sources
Release-time aware VM placement
Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit
Guizani, Mohsen +7 more
core +3 more sources
Efficient Algorithms for VM Placement in Cloud Data Centers
The virtual machine (VM) placement problem is a major issue in optimizing resource ulitization of cloud data centers. With the rapid development of cloud computing, efficient algorithms are needed to reduce the power consumption and save energy in data ...
Hong Shen +5 more
core +3 more sources
Constraint-aware VM placement in heterogeneous computing clusters
Virtualized systems consist of a large number of machines that are configured with different hardware and software, and execute a large number of virtual machines (VMs) for diverse applications.
Kim, Seontae, Choi, Young-Ri
core +3 more sources
Markov Prediction Model for Host Load Detection and VM Placement in Live Migration [PDF]
The design of good host overload/underload detection and virtual machine (VM) placement algorithms plays a vital role in assuring the smoothness of VM live migration.
Suhib Bani Melhem +3 more
doaj +2 more sources
Effects of VM Placement Constraints in Heterogeneous Virtual Clusters
Virtualized systems consist of a large number of machines that are configured with different hardware and software, and execute a large number of virtual machines (VMs) for diverse applications.
Kim, Seontae, Choi, Young-Ri
core +2 more sources
A relationship-based VM placement framework of cloud environment
Managing computation resources in a cost-effective way has become the core competence for a Cloud provider to win over the market because of the 'pay-as-you-go' business model.
Xing Chen +11 more
core +2 more sources
Whither Tightness of Packing? The Case for Stable VM Placement
To date, virtual machine (VM) placement has traditionally been viewed as a bin packing problem where a number of virtual machines need to be placed on a given number of physical machines.
BELLUR, U, MISHRA, M
core +3 more sources

