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Comparing VM-Placement Algorithms for On-Demand Clouds [PDF]
Much recent research has been devoted to investigating algorithms for allocating virtual machines (VMs) to physical machines (PMs) in infrastructure clouds. Many such algorithms address distinct problems, such as initial placement, consolidation, or tradeoffs between honoring service-level agreements and constraining provider operating costs.
Kevin Mills +2 more
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Dynamic tuning for parameter-based virtual machine placement [PDF]
Virtual machine (VM) placement is the process that allocates virtual machines onto physical machines (PMs) in cloud data centers. Reservation-based VM placement allocates VMs to PMs according to a (statically) reserved VM size regardless of the actual ...
Sakellariou, Rizos, Mosa, Abdelkhalik
core +4 more sources
Virtual machine placement is the process of selecting the most suitable server in large cloud data centers to deploy newly-created VMs. Traditional load balancing or energy-aware VM placement approaches either allocate VMs to PMs in centralized manner or
Li Bo, Wang Yun
doaj +1 more source
Energy Efficient Virtual Machines Placement Over Cloud-Fog Network Architecture
Fog computing is an emerging paradigm that aims to improve the efficiency and QoS of cloud computing by extending the cloud to the edge of the network.
Hatem A. Alharbi +2 more
doaj +1 more source
A comprehensive survey on load balancing techniques for virtual machines
Cloud computing is an emerging technique with remarkable features such as scalability, high flexibility, and reliability. Since this field is growing exponentially, more users are attracted to fast and better service.
Suman Sansanwal, Nitin Jain
doaj +1 more source
Security-aware dynamic VM consolidation
The explosive growth of cloud usage encourages several challenges, especially high energy consumption of Cloud Data Centers (CDCs), new security risks to Virtual Machines (VMs) resulting from co-residency with other risky VMs on the same Physical Machine
Mohamed A. Elshabka +3 more
doaj +1 more source
Virtual machine placement in energy aware load balancer using fog classifier
Cloud datacenter carries huge volume of data and tasks which is allocating resources to multiple workstations. Most of the cloud services are operating service level agreement (SLA) placements.
S. Selvaganapathy, M. Chinnadurai
doaj +1 more source
Virtual numbers for virtual machines? [PDF]
Knowing the number of virtual machines (VMs) that a cloud physical hardware can (further) support is critical as it has implications on provisioning and hardware procurement. However, current methods for estimating the maximum number of VMs possible on a
Ko, Ryan K. L. +7 more
core +1 more source
COMPARATIVE ANALYSIS OF VM PLACEMENT AND MIGRATION ALGORITHMS IN VM CONSOLIDATION
With the increasing number of Internet of Things (IoT) devices, data centers are experiencing immense augmentation in the hardware devices with an increase in the traffic to the cloud infrastructures. To handle this growth and to satisfy users demand, data centers require more energy. The IoT devices produce vast data which needs to be handled properly
openaire +2 more sources
Optimizing VM placement for HPC in the cloud [PDF]
Computing as a service model in cloud has encouraged High Performance Computing to reach out to wider scientific and industrial community. Many small and medium scale HPC users are exploring Infrastructure cloud as a possible platform to run their applications. However, there are gaps between the characteristic traits of an HPC application and existing
Abhishek Gupta +2 more
openaire +1 more source

