Modelling energy consumption of network transfers and virtual machine migration
| Autor: | Shajulin Benedict, Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
QA75
Ethernet Computer Networks and Communications Computer science Distributed computing Real-time computing InfiniBand 020206 networking & telecommunications 02 engineering and technology Network interface Energy consumption computer.software_genre Network interface controller Hardware and Architecture Virtual machine 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing computer Software Energy (signal processing) |
| Zdroj: | Future Generation Computer Systems. 56:388-406 |
| ISSN: | 0167-739X |
| Popis: | 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. Energy consumption of virtual machine migration is related to network transfer.We propose a model for energy consumption of network transfer.On the top of the network transfer model we build a model for VM migration.We increase accuracy of existing VM migration models up to 24%. |
| Databáze: | OpenAIRE |
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