Results 21 to 30 of about 8,759 (194)
VMPlaceS: A Generic Tool to Investigate and Compare VM Placement Algorithms [PDF]
, 2015 Advanced Virtual Machines placement policies are evaluated either using limited scale in-vivo experiments or ad hoc simulator techniques. These validation methodologies are unsatisfactory. First they do not model precisely enough real production platforms (size, workload representativeness, etc.).
Lebre, Adrien +2 more
core +5 more sources
Holistic VM Placement for Distributed Parallel Applications in Heterogeneous Clusters [PDF]
, 2021 In a heterogeneous cluster, virtual machine (VM) placement for a distributed parallel application is challenging due to numerous possible ways of placing the application and complexity of estimating the performance of the application.
Kim, Seontae +7 more
core +1 more source
Applied Sciences, 2021 Owing to the increasing complexity of managing IT infrastructure caused by rapid technological advancements, organizations are transforming their datacenter management environments from on-premises to the cloud.
Ho Yeong Yun, Suk Ho Jin, Kyung Sup Kim
doaj +1 more source
Comparing VM-Placement Algorithms for On-Demand Clouds [PDF]
2011 IEEE Third International Conference on Cloud Computing Technology and Science, 2011 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
openaire +1 more source
Energy Efficient Virtual Machines Placement Over Cloud-Fog Network Architecture
IEEE Access, 2020 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
MATEC Web of Conferences, 2018 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
A comprehensive survey on load balancing techniques for virtual machines
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2023 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
Egyptian Informatics Journal, 2021 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
Journal of Cloud Computing: Advances, Systems and Applications, 2023 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
Optimizing VM placement for HPC in the cloud [PDF]
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit, 2012 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