iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud

Xu, Fei; Liu, Fangming; Liu, Linghui; Jin, Hai; Li, Bo; Li, Baochun

doi:10.1109/tc.2013.185

Cited by 194 publications

(98 citation statements)

References 22 publications

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“…Existing server consolidation algorithms [1][2][3][4][5][6][7][8][9][10] provided a target VM-to-PM mapping minimizing the PM number or with other objectives, e.g., VM migration cost and consumed energy, and switched the current mapping to the target mapping by VM migration and resource reallocation (vertical scaling) when some VMs have changes in their required resources. While, to our best knowledge, no existing work has considered consolidating Internet applications whose performance can be tuned by not only vertical scaling but also horizontal scaling for improving energy efficiency.…”

Section: Vm Consolidationmentioning

confidence: 99%

“…While, to our best knowledge, no existing work has considered consolidating Internet applications whose performance can be tuned by not only vertical scaling but also horizontal scaling for improving energy efficiency. Besides, all of these existing works changed the VM-to-PM mapping by migration leading to non-negligible performance loss and energy overhead [4,[35][36][37]. In this paper, we consolidate Internet applications taking both vertical and horizontal scaling into account.…”

Section: Vm Consolidationmentioning

confidence: 99%

“…While almost all of the existing works [1][2][3][4][5][6][7][8][9][10] addressed the consolidation problem of the applications of which the corresponding VMs are fixed in number at runtime. There are some problems to apply these works to Internet applications, such as e-commerce and web services, whose instances each of which corresponds to exactly one VM can be tuned in number at runtime.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Server Consolidation for Internet Applications in Virtualized Data Centers

Wang

Song²,

Sun³

et al. 2016

24th High Performance Computing Symposium

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Server consolidation based on virtualization technology simplifies system administration and improves energy efficiency by improving resource utilizations and reducing the physical machine (PM) number in contemporary service-oriented data centers. The elasticity of Internet applications changes the consolidation technologies from addressing virtual machines (VMs) to PMs mapping schemes which must know the VMs statuses, i.e. the number of VMs and the profiling data of each VM, into providing the application-to-VM-to-PM mapping. In this paper, we study on the consolidation of multiple Internet applications, minimizing the number of PMs with required performance. We first model the consolidation providing the application-to-VM-to-PM mapping to minimize the number of PMs as an integer linear programming problem, and then present a heuristic algorithm to solve the problem in polynomial time. Extensive experimental results show that our heuristic algorithm consumes less than 4.3% more resources than the optimal amounts with few overheads. Existing consolidation technologies using the input of the VM statuses output by our heuristic algorithm consume 1.06% more PMs.

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Section: Vm Consolidationmentioning

confidence: 99%

Section: Vm Consolidationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Server Consolidation for Internet Applications in Virtualized Data Centers

Wang

Song²,

Sun³

et al. 2016

24th High Performance Computing Symposium

View full text Add to dashboard Cite

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“…However, to the best of our knowledge, current datacenters do not offer bandwidth guarantee for tenants. The network performance between two VMs can fluctuate significantly due to the interference of network intensive applications on other VMs [2]- [4]. This unpredictable performance leads to uncertainty in execution times of jobs, which increases the risk of revenue loss to tenants.…”

Section: Introductionmentioning

confidence: 99%

On efficient bandwidth allocation for traffic variability in datacenters

Guo

Liu

Huang

et al. 2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

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Abstract-Datacenter networks suffer unpredictable performance due to a lack of application level bandwidth guarantees. A lot of attentions have been drawn to solve this problem such as how to provide bandwidth guarantees for Virtualized Machines (VMs), proportional bandwidth share among tenants, and high network utilization under peak traffic. However, existing solutions fail to cope with highly dynamic traffic in datacenter networks. In this paper, we consider the effects of large numbers of short flows and massive bursty traffic in the datacenter, and design a novel distributed rate allocation algorithm based on the Logistic model under the control-theoretic framework. The theoretical analysis and experimental results using OpenFlow show that our algorithm not only guarantees the bandwidth for VMs, but also provides fast convergence to efficiency and fairness, and smooth response to bursty traffic.

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“…No trabalho apresentado por Xu et al (2013), é apresentada uma estratégia que leva em conta o custo computacional da migração nos hospedeiros envolvidos no processo (origem e destino), nas máquinas virtuais a serem migradas e também nas máquinas já em execução no hospedeiro de destino.…”

Section: Estratégias Analíticas De Live Migrationunclassified

Orquestração de migração massiva de máquinas virtuais baseada em análise cíclica para ambientes de computação na nuvem.

Baruchi¹

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AGRADECIMENTOSInúmeras pessoas contribuíram, direta ou indiretamente, para o desenvolvimento do presente trabalho, tornando este período de cinco anos extremamente enriquecedor para mim.Aos colegas do LAHPC que, com os momentos de descontração, tornaram esta jornada mais fácil.A todos os colegas da HP, pela inestimável ajuda e compreensão. Em especial, aos meus amigos Juliano Costa e Laerte Fiorentini.À minha orientadora, Liria Sato, uma das melhores pessoas que eu tive a oportunidade de conhecer e ao meu orientador, Edson Midorikawa, por suas incontáveis sugestões e por sua dedicação exemplar.Aos meus pais, que sempre me apoiaram nos estudos e sem os quais jamais poderia ter chego até aqui.Por fim, agradeço a minha esposa, Camila, a quem também dedico esta tese. Tornou suportáveis os momentos difíceis e adoçou os momentos felizes. Não há no mundo quem me faça mais feliz. EPÍGRAFE Poucas, mas maduras. (Carl Friedrich Gauss) RESUMOUm das principais características da tecnologia de virtualização é a Live Migration, que permite que máquinas virtuais sejam movimentadas entre má-quinas físicas sem a interrupção da execução. Esta característica habilita a implementação de politicas mais sofisticadas dentro de um ambiente de computação na nuvem, como a otimização de uso de energia elétrica e recursos computacionais. Entretanto, a Live Migration pode impor severa degradação de desempenho nas aplicações das máquinas virtuais e causar diversos impactos na infraestrutura dos provedores de serviço, como congestionamento de rede e máquinas virtuais co-existentes nas máquinas físicas. Diferente de diversos estudos, este estudo considera a carga de trabalho da máquina virtual um importante fator e argumenta que escolhendo o momento adequado para a migração da máquina virtual pode-se reduzir as penalidades impostas pela Live Migration. Este trabalho introduz a Application-aware Live Migration (ALMA), que intercepta as submissões de Live Migration e, baseado na carga de trabalho da aplicação, adia a migração para um momento mais favorável. Os experimentos conduzidos neste trabalho mostraram que a arquitetura reduziu em até 74% o tempo das migrações para os experimentos com benchmarks e em até 67% os experimentos com carga de trabalho real. A transferência de dados causada pela Live Migration foi reduzida em até 62%. Além disso, o presente introduz um modelo que faz a predição do custo da Live Migration para a carga de trabalho e também um algoritmo de migração que não é sensível à utilização de memória da máquina virtual. ABSTRACTA key feature in virtualization technology is the Live Migration, which allows a Virtual Machine to be moved from a physical host to another without execution interruption. This feature enables the implementation of more sophisticated policies inside a cloud environment, such as energy and computational resources optimization. However, live migration can impose severe performance degradation for virtual machine application and cause multiple impacts in service provider infrastructure, such as network co...

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iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud

Cited by 194 publications

References 22 publications

Server Consolidation for Internet Applications in Virtualized Data Centers

Server Consolidation for Internet Applications in Virtualized Data Centers

On efficient bandwidth allocation for traffic variability in datacenters

Orquestração de migração massiva de máquinas virtuais baseada em análise cíclica para ambientes de computação na nuvem.

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