Adding a Live Migration Model into SimGrid: One More Step Toward the Simulation of Infrastructure-as-a-Service Concerns

Hirofuchi, Takahiro; Lèbre, Adrien; Pouilloux, Laurent

doi:10.1109/cloudcom.2013.20

Cited by 16 publications

(18 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other works like [30,31] focused on the cost of live migration for cloud data centres, but they considered only performance and did not take energy consumption into account. Further works like [32] implement model for VM migration in Cloud simulator, but they do not provide models for its energy consumption. First investigations about energy consumption of VM migration have been done by [33].…”

Section: Related Workmentioning

confidence: 99%

Modelling energy consumption of network transfers and virtual machine migration

Maio

Prodan

Benedict

et al. 2016

Future Generation Computer Systems

View full text Add to dashboard Cite

Reducing energy consumption has become a key issue for data centres, not only because of economical benefits but also for environmental and marketing reasons. Therefore, assessing their energy consumption requires precise models. In the past years, many models targeting different hardware components, such as CPU, storage and network interface cards (NIC) have been proposed. However, most of them neglect energy consumption related to VM migration. Since VM migration is a network-intensive process, to accurately model its energy consumption we also need energy models for network transfers, comprising their complete software stacks with different energy characteristics.In this work, we present a comparative analysis of the energy consumption of the software stack of two of today's most used NICs in data centres, Ethernet and Infiniband. We carefully design for this purpose a set of benchmark experiments to assess the impact of different traffic patterns and interface settings on energy consumption. Using our benchmark results, we derive an energy consumption model for network transfers. Based on this model, we propose an energy consumption model for VM migration providing accurate predictions for paravirtualised VMs running on homogeneous hosts. We present a comprehensive analysis of our model on different machine sets and compare it with other models for energy consumption of VM migration, showing an improvement of up to 24% in accuracy, according to the NRMSE error metric.

show abstract

Section: Related Workmentioning

confidence: 99%

Modelling energy consumption of network transfers and virtual machine migration

Maio

Prodan

Benedict

et al. 2016

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…Other works like [10], [11], [12] focused on the cost of live migration for Cloud data centres, but considered only performance and did not take energy consumption into account. Further works like [13] implemented a model for VM migration in a Cloud simulator, but do not provide models for its energy consumption. Recent works like [14] consider the time of live migration, but this study consider only CPUintensive workloads and does not take energy into account.…”

Section: Related Workmentioning

confidence: 99%

A Workload-Aware Energy Model for Virtual Machine Migration

Maio¹,

Kecskeméti²,

Prodan³

2015

2015 IEEE International Conference on Cluster Computing

View full text Add to dashboard Cite

Abstract-Energy consumption has become a significant issue for data centres. Assessing their consumption requires precise and detailed models. In the latter years, many models have been proposed, but most of them either do not consider energy consumption related to virtual machine migration or do not consider the variation of the workload on (1) the virtual machines (VM) and (2) the physical machines hosting the VMs. In this paper, we show that omitting migration and workload variation from the models could lead to misleading consumption estimates. Then, we propose a new model for data centre energy consumption that takes into account the previously omitted model parameters and provides accurate energy consumption predictions for paravirtualised virtual machines running on homogeneous hosts. The new model's accuracy is evaluated with a comprehensive set of operational scenarios. With the use of these scenarios we present a comparative analysis of our model with similar state-of-the-art models for energy consumption of VM Migration, showing an improvement up to 24% in accuracy of prediction.

show abstract

“…SimGrid [3] provides a scalable and fast simulation framework of Cloud data centres, Grid and peer-to-peer systems, including a model for simulating VM migration [2]. However, it provides no energy consumption model for VM migration (at the time our paper writing).…”

Section: Related Workmentioning

confidence: 99%

“…For example, the work in [2] added a model to the SimGrid [3] simulator that focuses on the migration's performance overhead, but not on its energy consumption.…”

Section: Introductionmentioning

confidence: 99%

An improved model for live migration in data centre simulators

Maio

Kecskeméti

Prodan

2016

Proceedings of the 9th International Conference on Utility and Cloud Computing

View full text Add to dashboard Cite

Abstract-Due to the difficulty of employing real data centres' infrastructure for assessing the effectiveness of energy-aware algorithms, many researchers resort on using Cloud simulators. These tools require precise and detailed models for virtualized data centres in order to deliver accurate results. In recent years, many models have been proposed, but most of them either do not consider energy consumption related to virtual machine (VM) migration or ignore some of the energy-impacting components (e.g. CPU, network, storage). In this paper, we propose a new model for data centre energy consumption that takes into account these omitted components. We implement this model in a framework that combines two Cloud simulators: GroudSim that provides the Cloud management side, and DISSECT-CF that provides the internal infrastructure side. We evaluated our model in a comprehensive set of scenarios and obtained an accuracy between 8% and 22% for instantaneous power consumption, and between 8% and 25% for energy consumption.

show abstract

Adding a Live Migration Model into SimGrid: One More Step Toward the Simulation of Infrastructure-as-a-Service Concerns

Cited by 16 publications

References 11 publications

Modelling energy consumption of network transfers and virtual machine migration

Modelling energy consumption of network transfers and virtual machine migration

A Workload-Aware Energy Model for Virtual Machine Migration

An improved model for live migration in data centre simulators

Contact Info

Product

Resources

About