Destination-aware Adaptive Traffic Flow Rule Aggregation in Software-Defined Networks

In this paper, we propose a destination-aware adaptive traffic flow rule aggregation (DATA) mechanism for facilitating traffic flow monitoring in SDN-based networks. This method adapts the number of flow table entries in SDN switches according to the level of detail of traffic flow information that other mechanisms (e.g. for traffic engineering, traffic monitoring, intrusion detection) require. It also prevents performance degradation of the SDN switches by keeping the number of flow table entries well below a critical level. This level is not preset as a hard threshold but learned during operation by using a machine-learning based algorithm. The DATA method is implemented within a RESTful application (DATA App) which monitors and analyzes the ongoing network traffic and provides instructions to the SDN controller to adapt the traffic flow matching strategies accordingly. A thorough performance evaluation of DATA is conducted in an SDN emulation environment. The results show that---compared to the default behavior of common SDN controllers---the proposed DATA approach yields significant SDN switch performance improvements while still providing detailed traffic flow information on demand.Comment: This paper was presented at NetSys conference 2019. arXiv admin note: text overlap with arXiv:1909.0154

New concepts for traffic, resource and mobility management in software-defined mobile networks

The evolution of mobile telecommunication networks is accompanied by new demands for the performance, portability, elasticity, and energy efficiency of network functions. Network Function Virtualization (NFV), Software Defined Networking (SDN), and cloud service technologies are claimed to be able to provide most of the capabilities. However, great leap forward will only be achieved if resource, traffic, and mobility management methods of mobile network services can efficiently utilize these technologies. This paper conceptualizes the future requirements of mobile networks and proposes new concepts and solutions in the form of Software-Defined Mobile Networks (SDMN) leveraging SDN, NFV and cloud technologies. We evaluate the proposed solutions through testbed implementations and simulations. The results reveal that our proposed SDMN enhancements supports heterogeneity in wireless networks with performance improvements through programmable interfaces and centralized control

Advances in Communication Networking: 19th EUNICE/IFIP WG 6.6 International Workshop, Chemnitz, Germany, August 28-30, 2013

International audienceBook Front Matter of LNCS 811

A Testbed Analysis of the Effects of IEEE 802.11s Power Save on Mesh Link Performance

Part 1: Radio CommunicationsInternational audienceRecently, the IEEE published the 802.11s standard amendment for wireless mesh networks using IEEE 802.11 hardware. Since most of the new techniques may be implemented in software, this allows to bring the benefits of mesh networking to a broad market of about one billion devices. The standard amendment describes new power save schemes which allow efficient energy saving for all mesh nodes. On the downside, the power save schemes will also degrade the network performance in terms of delay and throughput. In this paper we present a testbed analysis of the effects of 802.11s power save on mesh link performance. We analyze the effects on round-trip time and throughput in detail for different configurations and network parameters

A Testbed Evaluation of the Scalability of IEEE 802.11s Light Sleep Mode

Part 10: Poster PapersInternational audienceWireless mesh networks have not yet made their breakthrough in consumer electronics, although they are well suited for use in home or on-the-go environments. Especially IEEE 802.11s is ideal for multimedia sharing on handheld devices as it uses regular Wi-Fi hardware, but provides connectivity without requiring an access point. To maintain proper battery runtime on mobile devices 802.11s introduces new power save schemes. Despite the increased complexity due to the meshed connectivity, these schemes allow efficient energy saving for the mesh nodes. In this paper we present a testbed implementation of the IEEE 802.11s power save schemes on off-the-shelf hardware and assess their effects on current consumption for the idle network case in detail