Incorporating Rate Adaptation Into Green Networking for Future Data Centers

Wang, Lin; Zhang, Fa; Hou, Chenying; Aroca, Jordi Arjona; Liu, Zhiyong

doi:10.1109/nca.2013.24

Cited by 16 publications

(9 citation statements)

References 20 publications

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“…Techniques exploiting rate adaptation are explored for data centre networks in [21,22]. Complementary to these works, we focus on the energy consumption from the perspective of software application, including not only the NICs, but also the other components involved in network transfers.…”

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

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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.

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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

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“…Generally there are two types of network virtualization environment model. [12], [11]. This refers as several virtual networks from different service providers coexist together over the part of fully of the existing physical network provided by the infrastructure providers.…”

Section: Virtual Architecturementioning

confidence: 99%

“…Fig. 3 shows the example to tow co-existing Virtual Networks.Recursion: When one or more Virtual networks are spawned form another Virtual network hierarchy with parent-child relationships, it is known as recursion as well as nesting of virtual networks [11]. The Re-visitation allows a physical node to host multiple virtual node of a single virtual network.…”

Section: Virtual Architecturementioning

confidence: 99%

Security Management in Network Visualization Environment by using modified root management algorithm for Creation of Virtual Node and Virtual Link

Upadhyay¹,

Soni²,

Kumar³

2017

IJCA

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In the present days the data on particular topic availability is huge and massive. The network virtualization plays very important role in the field of internet. Since Virtual networks have emerged as a powerful and flexible platform for the future network. The dependability of virtual services relies on the network's capabilities and capabilities include virtual nodes and links to maintain the virtualization. Due to existence of the multiple confliction policies, services and alternations to the existing internet there are some limitations occur according to the following features: robust routing, efficient search, scalability, decentralization, fault tolerances, trust and authentications; so this era needs network virtualization technique. But the difficulties with the network virtualization are Instantiation means creating virtual networks, logistics means runs them; Management means manage them, and Interactions. The creation of virtual networks is very difficult but the researchers from all over the globe will always trying to resolve it according to their way. So this is referred as future work also. The proposed algorithm in this paper is useful to create virtual node and link for network virtualization. There are already some techniques available to create the virtual network but they are not showing the exact structure which will be required. This paper introduces an algorithm to managing the virtual node and virtual link in any virtual network.

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“…Then, to achieve energy conservation, they reduce the number of needed active switches that balance traffic flows, depending on the relationship between power consumption and routing. In [22], authors showed the benefit of using link rate adaptation in a datacenter network. The objective is to find the rates of the different links that minimize the energy consumption of the whole network.…”

Section: A Energy Reduction In Wired Networkmentioning

confidence: 99%

Flow-Based Management For Energy Efficient Campus Networks

Amokrane

Langar

Boutaba

et al. 2015

IEEE Trans. Netw. Serv. Manage.

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International audienceRecent studies have shown that the energy consumption of wireless access networks is a threat to the sustainability of mobile cloud services. Consequently, energy efficient solutions are becoming crucial for both local and wireless access networks. In this paper, we propose a flow-based management framework to achieve energy efficiency in campus networks. We address the problem from the dynamic perspective, where users come and leave the system in unpredictable way. Specifically, we propose an online flow-based routing approach, that allows dynamic reconfiguration of existing flows as well as dynamic link rate adaptation, while taking into account users' demands and mobility. Our approach is compliant with the emerging Software Defined Networking (SDN) paradigm since it can be integrated as an application on top of an SDN controller. To achieve this, we first formulate the flow-based routing problem as an integer linear program (ILP). As this problem is known to be N P-hard, we then propose a simple yet efficient Ant Colony-based approach to solve the formulated ILP. Through extensive simulations, we show that our proposed approach is able to achieve significant gains in terms of energy consumption, compared to heuristic solutions and conventional routing solutions such as the Shortest Path (SP) routing, the Minimum link Residual Capacity routing metric (MRC) and the load balancing (LB) scheme. In particular, we show that the energy consumption can be reduced by up to 7%, 35%, 44% and 49% compared to Greedy-OFER, MRC, SP and LB, respectively, while ensuring the required Quality of Service (QoS)

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Incorporating Rate Adaptation Into Green Networking for Future Data Centers

Cited by 16 publications

References 20 publications

Modelling energy consumption of network transfers and virtual machine migration

Modelling energy consumption of network transfers and virtual machine migration

Security Management in Network Visualization Environment by using modified root management algorithm for Creation of Virtual Node and Virtual Link

Flow-Based Management For Energy Efficient Campus Networks

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