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Dynamic Resource Allocation for Virtual Machine Migration Optimization using Machine Learning
[article]
2024
arXiv
pre-print
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Finally, it introduces machine learning-based virtual machine migration optimization and dynamic resource allocation as a critical research direction in cloud computing, citing the limitations of static ...
Overall, the paragraph effectively communicates the importance of machine learning technology in addressing resource allocation and virtual machine migration challenges in cloud computing. ...
This includes learning how to dynamically adjust resource allocation based on current system load and resource usage, how to pre-allocate resources based on predicted changes in demand, and when to trigger ...
arXiv:2403.13619v1
fatcat:frckfuuovrfujamykzn27gh6oy
Coupling VNF Orchestration and SDN Virtual Network Reconfiguration
2019
2019 International Conference on Networked Systems (NetSys)
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Network Function Virtualization (NFV) promises an efficient way of managing and orchestrating Virtual Network Functions (VNFs), where VNFs can be dynamically instantiated or migrated based on current service ...
predictable network operation and control. ...
improving cost factors); iii) the dynamic update of virtual networks based on changing requirements and workloads, i.e., the reconfiguration of virtual networks [3] , which can help to increase the resource ...
doi:10.1109/netsys.2019.8854520
dblp:conf/kivs/DericVBBPJK19
fatcat:tvi27az4jjf4li27lfo6ci57qq
Virtual Machine Scheduling Strategies in Cloud Computing- A Review
2019
Zenodo
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Then VM placement strategy and the process of VM migration is discussed. We have proposed architecture for dynamic resource scheduling and load balancing. ...
Dynamic resource scheduling and load balancing is the primary requirement of a cloud computing environment. Finally the future works also identified with conclusion. ...
For optimum utilization of resources the prediction of virtual machine is also required due to dynamic nature of cloud environment. ...
doi:10.5281/zenodo.6144560
fatcat:vluzfhtr4ratlgq6ngnqkofthy
Autonomic Computing In Virtualized Environment
2012
International Journal of Advanced Information Technology
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KEYWORDS Virtualization, autonomic computing, Self-management and live migration. • Self-optimization: The computing system will continuously try to improve its performance by dynamically changing its ...
Virtualization is a technology with efficient and better utilization of resources. ...
There are many techniques to allocate resources dynamically but this paper is based on control theory. Predictive control technique uses the historical data to allocate resources. ...
doi:10.5121/ijitcs.2012.2108
fatcat:4pzg3tw7snbyvj3vjvn5tmicre
Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment
2013
International Journal of Computer Applications Technology and Research
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This is an on demand service because it offers dynamic flexible resource allocation and guaranteed services in pay as-you-use manner to public. ...
In this paper, we present the several dynamic resource allocation techniques and its performance. ...
Virtualization technology is used to allocate the data center resources dynamically based on the application demands.Virtualization having two types,
Utility function: Dynamically manage VMs in IaaS ...
doi:10.7753/ijcatr0206.1019
fatcat:ekhlsdspxbdbhlwhbkampq5t4y
Dual Threshold Adaptive Dynamic Migration Strategy of Virtual Resources Based on BBU Pool
2020
Electronics
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In this paper, BBUs are virtualized to construct a virtual BBU pool based on the OpenStack cloud architecture and a dual threshold adaptive dynamic migration strategy is proposed in this scenario. ...
If the migration is triggered, the strategy selects the virtual resource to be moved out and the target node to realize the dynamic migration to achieve the purpose of balancing the server load and saving ...
Based on the architecture of a centralized access network, this paper uses virtualization technology on x86 architecture servers to virtualize the functions of traditional BBUs (such as physical layer ...
doi:10.3390/electronics9020314
fatcat:44nr45bpajgi3ok2inhn7zeuzq
A Dynamic Adjustment Method of Service Function Chain Resource Configuration
2021
KSII Transactions on Internet and Information Systems
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In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment ...
First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. ...
Introduction Network function virtualization (NFV), which is based on virtualization technology and standard commodity hardware instead of a dedicated middle box to realize network functions, decouples ...
doi:10.3837/tiis.2021.08.005
fatcat:vjh4u3szfjgh7jeoixcfd2tmnu
Dynamic resource management using virtual machine migrations
2012
IEEE Communications Magazine
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DYNAMIC PROVISIONING USING VIRTUAL MACHINE MIGRATION Virtual machine migration is a key enabler for dynamic resource management in cloud-based systems. ...
We outline the components required to use virtual machine migration for dynamic resource management in the virtualized cloud environment. ...
doi:10.1109/mcom.2012.6295709
fatcat:mwetnfuxgnfo3nzcefafsa46ze
Virtual Machine Migration Triggering using Application Workload Prediction
2015
Procedia Computer Science
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Dynamic provisioning of physical resources to Virtual Machines (VMs) in virtualized environments can be achieved by (i) vertical scaling-adding/removing attached resources from existing virtual machine ...
It is better to predict the future workload of applications running on physical server for early detection of overloads and trigger the migration at an appropriate point where sufficient number of resources ...
It also enables dynamic resource provisioning through virtual machine resizing and live virtual machine migration to eliminate hotspot, consolidating servers on fewer virtual machines and load balancing ...
doi:10.1016/j.procs.2015.06.019
fatcat:7woly4nobzg6xf6jti7qjokfqi
Service Program Mobility: A new Paradigm for Mobile Operators' Service Delivery
2012
Journal of Communications
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Our system architecture realizes dynamic service component migration across operator domains and platforms to offer the same experience to roaming users as they would have in the home network. ...
Due to the centralized nature of service platforms, resource-demanding services suffer from long delays when a user is accessing them when roaming. ...
This requires functionality in the network that derives appropriate processing resources and coordinates instantiation or migration at runtime based on specific information e.g., resources available at ...
doi:10.4304/jcm.7.2.106-114
fatcat:bnxlosydubgnveoljvpmolid2y
Elastic Allocation and Automatic Migration
2012
Journal of Emerging Technologies in Web Intelligence
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The proposal analyzes usage profiles of physical and virtual elements and defines heuristics based on differential utilization level that guarantee an enhanced allocation of virtual elements. ...
Cloud computing offers on-demand access to computational resources. ...
Authors say that current migration algorithms are based on iterative pre-copy migration which may require an unpredictable amount of time to finish migration process. ...
doi:10.4304/jetwi.4.4.333-342
fatcat:q443qokb4fetloe3ykp3niqatq
Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources
2021
Complexity
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An emergency scheduling method of cloud computing platform network public resources based on genetic algorithm is proposed. ...
Emergency scheduling of public resources on the cloud computing platform network can effectively improve the network emergency rescue capability of the cloud computing platform. ...
Firstly, the dynamic load prediction algorithm based on exponential smoothing is implemented. ...
doi:10.1155/2021/9950198
doaj:701c4f463ecf42ab9ce0547410701803
fatcat:teuz7rn47vdv3drhw7xvcjiuuy
An Adaptive Control Scheme for Data-Driven Traffic Migration Engineering on 5G Network
2022
Symmetry
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Adaptive control of traffic engineering (TE) based on 5G network function virtualization (NFV) authorizes the efficient and dynamic network resource allocation, whose utilization is increasingly wide and ...
Then, based on the triangle inequality violation (TIV) theorem, some local network traffic is adaptively migrated when the predicted link traffic exceeds the peak rate. ...
[18] scale migrations and replications of VNF based on network TE. ...
doi:10.3390/sym14061105
fatcat:an2b2dtfffbtrmzyptqnw34sii
Service Function Chain Deployment Method Based on Traffic Prediction and Adaptive Virtual Network Function Scaling
2022
Electronics
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In this regard, this paper proposes an SFC deployment method based on traffic prediction and adaptive virtual network function (VNF) scaling. ...
With the development of network function virtualization (NFV), the resource management of service function chains (SFC) in the virtualized environment has gradually become a research hotspot. ...
The number of instances changes with the dynamic changes of network traffic, which can meet the dynamic virtual resource requirements. ...
doi:10.3390/electronics11162625
fatcat:ucd6ncsngfc7hbqr4jsodq2usy
Optimizing Performance and Energy Efficiency in Cloud Data Centers Through SLA-Aware Consolidation of Virtualized Resources
클라우드 데이터 센터에서 가상화된 자원의 SLA-Aware 조정을 통한 성능 및 에너지 효율의 최적화
2014
Journal of Internet Computing and services
클라우드 데이터 센터에서 가상화된 자원의 SLA-Aware 조정을 통한 성능 및 에너지 효율의 최적화
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Using ANN, we propose a predictive SLA-aware approach for consolidating virtualized resources in a cloud environment. ...
In order to keep the required QoS and achieve the goal of upholding the SLA, virtualized resources must be efficiently consolidated to maximize system throughput while keeping energy consumption at a minimum ...
Using ANN, the server's utilization threshold can dynamically adapt to the physical machine's resource consumption based on predicted utilization levels. ...
doi:10.7472/jksii.2014.15.3.01
fatcat:w3cdc24aybeb3jowyuxfi4knre
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