Results 231 to 240 of about 5,665,701 (287)

A Virtual Machine Placement Taxonomy

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015
Cloud computing data enters dynamically provide millions of virtual machines (VMs) in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied.
Fabio Lopez Pires, Benjamín Barán
openaire   +1 more source

Virtual Machine Placement Strategy Research

2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2013
With the emergence of cloud computing, users begin to have more abstract concept for the physical machine. IaaS providers prohibits users request specify the physical machine to virtual machine resources. Users know nothing about underlying infrastructure resources. The data center carry out virtual machine placement decision-making.
Jipeng Gao, Gaoming Tang
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Energy-Efficient Virtual Machines Placement

2014 Brazilian Symposium on Computer Networks and Distributed Systems, 2014
Energy efficiency on computer systems is a topic that is gaining a lot of interest. Even more in the cloud computing era, where data centres consumption corresponds to near 1.5% of total world wide power consumption. In this paper we present two novel approaches for virtual machines (VMs) placement consolidation.
Albert P. M. De La Fuente Vigliotti   +1 more
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Many-Objective Virtual Machine Placement

Journal of Grid Computing, 2017
The process of selecting which virtual machines (VMs) should be executed at each physical machine (PM) of a virtualized infrastructure is commonly known as Virtual Machine Placement (VMP). This work presents a general many-objective optimization framework that is able to consider as many objective functions as needed when solving a VMP problem in a ...
Fabio López-Pires, Benjamín Barán
openaire   +1 more source

Virtual machine placement algorithm for virtualized desktop infrastructure

2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011
Finding optimal placement of virtual machines on numerous physical servers is one kind of bin-packing problem, which is known as an NP-hard. We propose the use of a heuristic algorithm to solve this problem where the virtual machines play the roles of personal desktops.
Cao Le Thanh Man, Makoto Kayashima
openaire   +1 more source

Virtual Machine Placement for Edge and Cloud Computing

2021
So far, the genetic algorithm has been presented for the energy-aware scheduling of virtual machines to minimize the total busy time of servers. However, this algorithm does not consider the criteria for service-level policies on real-time applications.
Behdad Partovi   +4 more
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Virtual Machine Placement in Predictable Computing Clouds

2014 IEEE 7th International Conference on Cloud Computing, 2014
Literature about cloud computing often makes the assumption that the resource demands of computing clouds (and the virtual machines that constitute them) are unpredictable in the short term. There are, however, specific use cases where resource demands can be anticipated.
Richard Rauscher, Raj Acharya
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Performance impact of virtual machine placement in a datacenter

2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC), 2012
In virtualized systems, several Virtual Machines (VM) running on a single hardware platform share and compete for the hardware resources such as memory, disk and network IO to meet a certain Quality of Service (QoS) requirements. It is critical to characterize and understand how the different workloads running in the VMs interact and share such ...
Indrani Paul   +2 more
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Resource-Priority Virtual Machine Placement in the Cloud

2019 6th International Conference on Systems and Informatics (ICSAI), 2019
In order to reduce the energy consumption of cloud data center and balance the load of host resources, an improved simulated annealing placement strategy (SABF) based on the priority of virtual machine demand resources is proposed. Firstly, the virtual machine requirements resource priority was defined and a multi-dimensional resource model was builded,
Hongpeng Tian, Jia Jiang
openaire   +2 more sources

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