Minimizing Live VM Migration Downtime Using OpenFlow Based Resiliency Mechanisms

Benet, Cristian Hernandez; Noghani, Kyoomars Alizadeh; Kassler, Andreas

doi:10.1109/cloudnet.2016.17

Cited by 10 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this virtualization-based approach conflicts directly with the two limitations presented in the previous section. To the best of our knowledge, no existing virtualization platform can offer a downtime comparable to the scheduling interval of a 5G network (1 ms or less) [21]. Moreover, live migrating a virtual machine entails copying its disk and memory to the destination, thus producing a high traffic overhead until the migration is completed.…”

Section: B Migration Strategymentioning

confidence: 99%

An adaptive functional split in 5G networks

Alba

Velásquez

Kellerer

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

View full text Add to dashboard Cite

The 5G radio access network (RAN) features a partially centralized architecture, in which a subset of the network functions are deployed in a centralized unit. Centralizing these functions reduces operating costs and enables coordination techniques. However, the more functions are centralized, the more capacity is needed on the fronthaul network connecting centralized and distributed units. In addition, the required fronthaul capacity also depends on the instantaneous user traffic, which varies over time. Therefore, in order to optimize its performance, the 5G RAN should be able to dynamically adapt its centralization level to the user traffic. In this paper, we present the design of an adaptive RAN that can switch between two different centralization options at runtime. We provide design objectives and challenges, as well as measurement results from a working implementation.

show abstract

Section: B Migration Strategymentioning

confidence: 99%

An adaptive functional split in 5G networks

Alba

Velásquez

Kellerer

2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

View full text Add to dashboard Cite

show abstract

“…Hence, convergence rises and the possibility for removing packets and reducing bandwidth increases. For solving the abovementioned problem, Reference [15] proposed several schemes based on SDN (software define network). These schemes provide the opportunity for quickly reviewing network connections by using open flow resiliency methods.…”

Section: Optimization Techniques and Migration Time Reductionmentioning

confidence: 99%

A systematic overview of live virtual machine migration methods

Kazem

2022

Concurrency and Computation

View full text Add to dashboard Cite

Virtualization is regarded as one of the key technologies used in cloud computing by means of which virtual resources and dynamic resources are provided for users. Power management, load balancing, online system maintenance are remarkable benefits of virtualization. Such advantages are attributed to the feature of Virtual machine (VM) migration. Many research studies have been recently conducted on live migration and many researchers are seeking to reduce migration time. Prolonged migration time results in some problems especially in WANs which are geographically far from data centers. Hence, the speed of VM transfer from the source to the destination is reduced. There are many cases which can affect the migration of the VM. To the best of the researchers' knowledge, there is no comprehensive overview of studies conducted on live VM migration. This paper is aimed at providing a systematic overview and at investigating the literature on live migration. It includes 50 selected research reports which were published between 2011 and 2020. These papers are categorized by year of publication, publisher, number of citations, authors, immigration methods, techniques used, and effective parameters, and different results have been obtained from them, which we have been discussed in the paper.

show abstract

“…Migration Downtime: The duration of downtime is another key parameter that determines the quality of any live migration. The downtime is the time period that the migrating VNF does not respond, because either its critical states are in transition from the source to the destination end-host or the network is not yet converged [13,14]. For network operators, the duration of downtime is equal to revenue loss and must be minimized.…”

Section: Reconfiguration Costsmentioning

confidence: 99%

On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration

Noghani

Kassler

Taheri

2019

2019 IEEE 8th International Conference on Cloud Networking (CloudNet)

Self Cite

View full text Add to dashboard Cite

Optimal placement of Virtual Network Functions (VNFs) in virtualized data centers enhances the overall performance of Service Function Chains (SFCs) and decreases the operational costs for mobile network operators. Maintaining an optimal placement of VNFs under changing load requires a dynamic reconfiguration that includes adding or removing VNF instances, changing the resource allocation of VNFs, and rerouting corresponding service flows. However, such reconfiguration may lead to notable service disruptions and impose additional overhead on the VNF infrastructure, especially when reconfiguration entails state or VNF migration. On the other hand, not changing the existing placement may lead to high operational costs. In this paper, we investigate the trade-off between the reconfiguration of SFCs and the optimality of the resulting placement and service flow (re)routing. We model different reconfiguration costs related to the migration of stateful VNFs and solve a joint optimization problem that aims to minimize both the total cost of the VNF placement and the reconfiguration cost necessary for repairing a suboptimal placement. Numerical results show that a small number of reconfiguration operations can significantly reduce the operational cost of the VNF infrastructure; however, too much reconfiguration may not pay off should heavy costs be involved.

show abstract

Minimizing Live VM Migration Downtime Using OpenFlow Based Resiliency Mechanisms

Cited by 10 publications

References 17 publications

An adaptive functional split in 5G networks

An adaptive functional split in 5G networks

A systematic overview of live virtual machine migration methods

On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration

Contact Info

Product

Resources

About