Non-tunneling Edge-Overlay Model Using OpenFlow for Cloud Datacenter Networks

Kawashima, Ryota; Matsuo, Hiroshi

doi:10.1109/cloudcom.2013.122

Cited by 15 publications

(6 citation statements)

References 3 publications

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“…The D-ITG has capable to producing traffic with various packet level. D-ITG can be used to measure throughput, delay, jitter across these virtual environment system [9][10][11]. To ensure the data accuracy, all the test were execute 20 times, and each run had duration of 10 second [12][13].…”

Section: Methodsmentioning

confidence: 99%

Performance Analysis of VXLAN and NVGRE Tunneling Protocol on Virtual Network

2017

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Virtualization is a new revolutionary approach in networking industry, its make possible to build several virtual machine (VM) in one physical hardware. In virtualization practice, one VM might be connected to others, but not all of VM in one environment must be connected due the privacy and security issues. One of the solutions which can address this issue is tunneling protocol. Tunneling protocol is a layer-2-in-layer-3 protocol which can isolate tenant traffic in virtualize environment. This research conducted about the performance of VXLAN and NVGRE tunneling protocol which works on virtualize environment and aims to determine the perfomances of throughput, delay, jitter, and vCPU Usage using variable packet size in range of 128-1514 byte. From the the result, can be conclude that both of tunneling protocol can isolate the traffic between tenant. For the performance result, NVGRE has the highest value of throughput, 771,02 Mbps and the VXLAN got 753,62 Mbps. For the delay NVGRE got 2.24 ms and VXLAN got 2.29 ms. For the jitter, NVGRE has better rate value of 0.361 ms, than VXLAN value of 0.348 ms, and the vCPU usage performance, NVGRE has the highest performance too that value is 60.57%. So on overall performance NVGRE has the better performance than VXLAN.

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Section: Methodsmentioning

confidence: 99%

Performance Analysis of VXLAN and NVGRE Tunneling Protocol on Virtual Network

2017

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“…Additional SW optimization approach for overlay network virtualization was proposed by Kawashima et al in [14], and evaluated in [15]. Based on address translation, this solution maps VM MAC addresses to MAC addresses of the physical hosts, and performs MAC address replacement using OpenFlow protocol and centralized OpenFlow controller.…”

Section: Related Workmentioning

confidence: 99%

NoEncap

Guenender

Barabash

Ben-Itzhak

et al. 2015

Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research

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Overlay network virtualization quickly gains traction in today's multi-tenant data centers due to its ability to provide independent virtual networks, at scale, along with complete isolation from the underlying physical network. Despite the benefits, performance degradation due to the imposed perpacket encapsulation overhead is a serious impediment.Mitigation approaches are mostly hardware based and thus depend on costly networking gear upgrades and suffer from lesser flexibility and longer times to market, compared to software solutions. Software optimizations proposed so far are limited in scope, applicability, and interoperability.In this paper we present NoEncap, a software-only optimization, capable of eliminating almost completely the overheads, while fully preserving the benefits of an overlay-based network virtualization.

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“…As regards the efficient management of VOs and traffic steering in SDN, a large part of related work (e.g., [14], [17]- [20], among others) focused on a single datacenter. In this respect, the MCO approach provides a broader scope, by explicitly addressing multiple geo-distributed datacenters and their wide-area interconnection (an essential characteristic in the Mobile Edge Computing environment).…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, we propose the Multi-Cluster Overlay (MCO), an SDN-based mechanism specifically designed to realize wide-area VTNs and effectively support dense deployments of mobile VOs at the network edge in a highly scalable fashion, as well as to relax any (resource/functional) requirements at the SDN switches in the network infrastructure. As better discussed in the remainder of this paper, the MCO provides the following main advantages with respect to state-of-the-art SDN mechanisms: (i) overlay isolation through tunnel-less communications [14] (i.e., non-overlapping OF rules among different overlays without the use of resource-hungry tunneling protocols); (ii) intrinsic support for distributed computing facilities (i.e., overlay connectivity is provided inside and among datacenters at the network edge); (iii) clustering of VOs with similar SLA requirements to boost scalability through VO aggregation, and to enable a more abstracted and agile overlay network control; (iv) efficient network support for single and bulk VO seamless live migrations (i.e., no network-induced packet loss); (v) low infrastructure-level requirements (i.e., simple and mandatory OF filters and actions, as well as Layer-2 (L2) addressing criteria); (vi) high performance (i.e., optimal/close-to-optimal traffic paths, low computational overhead); and (vii) high scalability, by significantly reducing the number of OF rules (and entries in the switch forwarding tables) in the overlay implementation, as well as the number of rule updates in case of bulk VO migrations.…”

mentioning

confidence: 99%

A Multi-Clustering Approach to Scale Distributed Tenant Networks for Mobile Edge Computing

Bruschi

Davoli

Lago

et al. 2019

IEEE J. Select. Areas Commun.

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Fifth generation (5G) mobile networks will lead to a deep integration between networks and applications. Through novel paradigms like Network Functions Virtualization (NFV) and Edge Computing, new classes of heterogeneous application services will be enabled to run close to mobile end-user devices with zero-perceived latency and fully-cognitive dynamic reconfiguration capabilities. Such "vertical" applications exhibit diverse performance/scalability requirements, and will rely on highly distributed, extremely virtualized, multi-tenant and software-defined infrastructures. In such context, handling the required operations in a scalable and dynamic fashion will be of paramount importance. A specific aspect, addressed by Software Defined Networking (SDN), regards the provision of suitable communication channels, once resource allocation mechanisms have performed the most efficient deployment of Virtual Network Function (VNF) instances, and VNF chaining needs to be implemented to enable network services. In this respect, this paper introduces the Multi-Cluster Overlay (MCO) network paradigm: a tunnel-less SDN scheme for scalable realization of Virtual Tenant Networks (VTNs) across the 5G distributed infrastructure, able to support (bulk) migrations of software instances among geo-distributed computing resources in a seamless and effective fashion. Numerical simulation and experimental results show that the MCO achieves up to over one order of magnitude smaller number of forwarding rules than other state-of-the-art SDN mechanisms, while also assuring high performance during reconfiguration operations.

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Non-tunneling Edge-Overlay Model Using OpenFlow for Cloud Datacenter Networks

Cited by 15 publications

References 3 publications

Performance Analysis of VXLAN and NVGRE Tunneling Protocol on Virtual Network

Performance Analysis of VXLAN and NVGRE Tunneling Protocol on Virtual Network

NoEncap

A Multi-Clustering Approach to Scale Distributed Tenant Networks for Mobile Edge Computing

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