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Performance impact of virtual machine placement in a datacenter
2012
2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC)
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In this paper, we present a measurement-based performance analysis of server virtualization workloads from a real system using virtual machines that are part of the popular industry standard VMmark benchmark ...
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 ...
In this paper, we collected measurements of key performance characteristics of several standard virtualized workloads across different virtual machine placement schemes in a datacenter host. ...
doi:10.1109/pccc.2012.6407650
dblp:conf/ipccc/PaulYJ12
fatcat:fqnlbz5f5janlpyyoxr5ukzyai
VMS Mean and Minimum Utilization VM Selection Algorithm for Cloud Datacenter
2020
International journal of recent technology and engineering
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The request for computing resources has increased which leads to the growth of power consumption inside datacenters. ...
VM Consolidation techniques helps VMs to migrate between the host machines in reducing energy consumption, but again which VM to select for migration between the host machine is again the challenging task ...
will have an impact on the other Virtual Machines performance running in the host machine due to increased resource requirements. ...
doi:10.35940/ijrte.e1015.0285s20
fatcat:abrffaz2xfbbrcd7zoakvfpxra
Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology
2017
Journal of Electrical and Computer Engineering
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Consequently, a spine-leaf Fog computing network (SL-FCN) is presented for reducing latency and network congestion issues in a highly distributed and multilayer virtualized IoT datacenter environment. ...
The perspective offered in this paper explains how low-latency and bandwidth intensive applications can transfer data to the cloud (and then back to the edge application) without impacting QoS performance ...
Acknowledgments This research was carried out as an extended work on Distributed Cloud Computing Network for SGEMS/EETACP project commissioned by the Department of Electronic Engineering, University of ...
doi:10.1155/2017/2363240
fatcat:7x7xvrmuf5dm7ixlu4m33ryxta
Thermal-Aware Cloud Middleware to Reduce Cooling Needs
2014
2014 IEEE 23rd International WETICE Conference
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Cooling costs can be reduced by intelligent scheduling, and in our case through virtual machines migrations. ...
We tested our algorithm on an experimental testbed, and achieve to cap the temperature of the datacenter room while not forgetting to optimize the server use, and without impacting on applications performance ...
Experiments presented in this paper were carried out using the Grid'5000 testbed, supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several Universities as well as ...
doi:10.1109/wetice.2014.45
dblp:conf/wetice/VillebonnetC14
fatcat:fyopu2p72nhldcowpesr7aw6jy
Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement
2013
2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS)
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J orcid.org/0000-0002-4598-167X et al. (1 more author) (2013) Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement. ...
We analyze the impact of performance interference on energy-efficiency using workload characteristics identified from a real Cloud environment, and develop a model that implements various decision-making ...
IMPACT OF PERFORMANCE INTERFERENCE ON ENERGY-EFFICIENCY The impact of performance interference in virtualized environments has been typically measured in terms of QoS such as throughput, latency or response ...
doi:10.1109/isads.2013.6513411
dblp:conf/isads/MorenoYXW13
fatcat:rj7yidiecvheppq6pngayddreq
Seeking for the Optimal Energy Modelisation Accuracy to Allow Efficient Datacenter Optimizations
2016
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
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Do we need a detailed and fine-grained energy model to perform good optimizations in the datacenter? ...
As cloud computing is being more and more used, datacenters play a large role in the overall energy consumption. ...
We are now able to characterize a virtual machine migration in terms of energy consumption. ...
doi:10.1109/ccgrid.2016.67
dblp:conf/ccgrid/OutinDBP16
fatcat:3dbn3i637jb2bbtxqs5allxaxm
Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters
2015
Computer
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Because details about datacenter customers' software cannot be revealed, software requirements are typically expressed in virtual machines (VMs) instead of as applications. ...
Over the past two decades, business-critical workloads have changed from sequential jobs and Web applications to a mix of long-running services and high-performance applications that are both computation-intensive ...
on a machine that fails. ...
doi:10.1109/mc.2015.206
fatcat:2byzbcnwyzas3bn4kuv2qc2b6q
Multi-object Virtual Machine Placement Optimization Method in Cloud Computing Environment
2017
International Journal of Hybrid Information Technology
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We propose VMPA strategy as a novel energy-efficient virtual machine (VM) placement procedure in cloud datacenters. VMPA could reduce the number of active servers in cloud datacenters. ...
This paper has concentrated on consolidation and migration technology in virtualized cloud datacenters as a solution to deal with this high energy consumption problem. ...
Acknowledgments The work was supported by the project of Science and technology research of henan province (152102210202), Institutions of higher learning key research projects in henan province department ...
doi:10.14257/ijhit.2017.10.8.06
fatcat:gx7iqlksszgd3iuwyltaaeyoaa
Hosting Virtual Machines on Distributed Datacenters
2016
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication - IMCOM '16
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In the virtual machine placement problem, current works mainly focus on the efficiency of packing virtual machines into servers and ignore the distributed scenario of datacenters. ...
In this paper, we consider the problem of placing virtual machines to host applications on a shared resource pool based on distributed cloud platforms. ...
In this paper, we formulate the virtual machine (VM) placement problem in distributed datacenters and propose a framework that can maximize the social-welfare of all datacenters. ...
doi:10.1145/2857546.2857633
dblp:conf/icuimc/PhamTNSH16
fatcat:nt36mrujsbb37g4rh4kkv2mt5q
Balanced Resource Utilization based Cloud Hosting Along With Server Consolidation
2016
International Journal of Computer Applications
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Various virtual machines (VM) allocation method have been proposed for reducing the response time, resource handling and balancing of load in a datacenter environment but they are not efficient to minimizing ...
In the cloud surroundings, resources (computing and data) stored in the datacenter are accessed on-demand by number of customers jointly. ...
[6] bring in an algorithm call DAIRS for allocating resource in datacenters, which generate a mean imbalance level of every physical machine and combined measurements for the entire imbalance impact ...
doi:10.5120/ijca2016908705
fatcat:3k7hb73nbjadppwt6xinyrtkre
Dynamic Consolidation of Virtual Machines in Cloud Datacenters
2014
IEICE transactions on information and systems
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Consolidation of Virtual Machines (VMs) reduces the energy consumption since VM live migration not only optimizes VM placement, but also switches idle nodes to sleep mode. ...
However, VM migration may negatively impact the performance of the system and lead to violations in SLA (Service Level Agreement) requirements between end users and cloud providers. ...
However, VM migration may negatively impact the performance of the system and lead to violations in SLA. ...
doi:10.1587/transinf.e97.d.1727
fatcat:gm4dj6b5jngvjcyrnckktg3r6q
Energy-Efficient virtual machine allocation technique using interior search algorithm for cloud datacenter
2017
2017 6th ICT International Student Project Conference (ICT-ISPC)
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In: Energy-Efficient Virtual Machine Allocation Technique, 23-24 May 2017, Skudai, Malaysia. ...
Over the years, high energy consumption by datacenters has become a major interest as a result of increasing demands of resources and services by enterprise and scientific applications. ...
The benefit of a virtualizing Cloud datacenter environment is to allows better resource utilization that are available in physical machine [8] . Li, et al. ...
doi:10.1109/ict-ispc.2017.8075327
fatcat:o5sxhpncdna6lanv33n3iiewgi
The Multi-objective VM Resource Scheduling by Using an Improved PSO Algorithm in the Cloud Data Center
2016
International Journal of Hybrid Information Technology
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This goal improves the datacenter performance. ...
The paper tries to solve the multi-objective problem in the cloud datacenter based on a heuristic algorithm. The paper simulates the algorithm and verifies the effectiveness of algorithm. ...
physical machines and virtual machine mapping is a one-to-many relationship. ...
doi:10.14257/ijhit.2016.9.11.12
fatcat:6oqvli6i4zbsffhotnpq2tas4i
Review of Energy Reduction Techniques for Green Cloud Computing
2016
International Journal of Advanced Computer Science and Applications
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The green cloud computing (GCC) approach is part of green IT; it aims to reduce the carbon footprint of datacenters by reducing their energy consumption. ...
Such a classification assists in comparisons between GCC approaches by identifying the key implementation approaches and the issues related to each. ...
Each datacenter consists of hundreds or thousands of physical machines arranged in hundreds of racks that can run millions of virtual machines (VMs) [5] . ...
doi:10.14569/ijacsa.2016.070127
fatcat:5vhpsecxxve3rggiurrkoiskce
VirtualKnotter: Online Virtual Machine Shuffling for Congestion Resolving in Virtualized Datacenter
2012
2012 IEEE 32nd International Conference on Distributed Computing Systems
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In contrast to traditional traffic engineering approaches that optimize flow routing, in this paper, we explore the opportunity to address the continuous congestion via optimizing VM placement in virtualized ...
Our evaluation with both real and synthetic traffic patterns shows that VirtualKnotter performs close to the baseline algorithm in terms of link unitization, with only 5%-10% migration traffic of the baseline ...
Part of the work was done when Xitao Wen and Kai Chen were summer interns at the NEC Labs China. ...
doi:10.1109/icdcs.2012.25
dblp:conf/icdcs/WenCCLXH12
fatcat:wv7udt5w2vdk5kqepco4fy475u
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