Self-Management of Context-Aware Overlay Ambient Networks

Mathieu, Bertrand; Song, Meng; Galis, Alex; Cheng, L.; Jean, K.; Ocampo, Roel; Brunner, Marcus; Stiemerling, Martin; Cassini, M.

doi:10.1109/inm.2007.374704

Cited by 18 publications

(12 citation statements)

References 5 publications

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“…Although the field emerged from active networks [2], it is making its mark in software overlay networks [3] and distributed system design [4]. In the future, autonomic communications may further increase their hold through the flexibility offered by Software Defined Networks (SDN) [5].…”

Section: Introductionmentioning

confidence: 99%

Big Data for Autonomic Intercontinental Overlays

Brun

Wang

Gelenbe

2016

IEEE J. Select. Areas Commun.

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Abstract-This paper uses Big Data and Machine Learning for the real-time management of Internet scale Qualityof-Service Route Optimisation with an overlay network. Based on the collection of data sampled each 2 minutes over a large number of source-destinations pairs, we show that intercontinental Internet Protocol (IP) paths are far from optimal with respect to Quality of Service (QoS) metrics such as end-to-end round-trip delay. We therefore develop a machine learning based scheme that exploits large scale data collected from communicating node pairs in a multi-hop overlay network that uses IP between the overlay nodes, and selects paths that provide substantially better QoS than IP. Inspired from Cognitive Packet Network protocol, it uses Random Neural Networks with Reinforcement Learning based on the massive data that is collected, to select intermediate overlay hops. The routing scheme is illustrated on a 20-node intercontinental overlay network that collects some 2 × 10 6 measurements per week, and makes scalable distributed routing decisions. Experimental results show that this approach improves QoS significantly and efficiently.

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Section: Introductionmentioning

confidence: 99%

Big Data for Autonomic Intercontinental Overlays

Brun

Wang

Gelenbe

2016

IEEE J. Select. Areas Commun.

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“…Ambient networking [9] is a strategy for providing connectivity by cascading multiple network segments. This approach has been defined in the context of wireless networks, which are managed through the so-called Ambient Control Space (ACS).…”

Section: Ambient Networkingmentioning

confidence: 99%

An enabling platform for autonomic management of the future internet

et al. 2011

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This article shows an autonomic management solution based on the recently defined programmable node architecture NetServ. The article starts with a general description of the classical network management requirements and their adaptation to the expected network evolution. After a description of the major issues characterizing the management of the expected Future Internet, the main autonomic management paradigms, and some recently introduced autonomic service platforms, we show and demonstrate the effectiveness of the NetServ architecture. Born as a means to deploy and execute networked services at runtime over programmable routers, NetServ has proved to be a suitable environment for hosting an autonomic management architecture.

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“…Besides the employment of P2P, self-management is also incorporated in Ambient Networks. Mathieu et al (MATHIEU et al, 2007) proposed the self-management of contexts associated to the overlays of AN. The authors defined the Service-aware Adaptive Transport Overlays (SATOs) for ANs.…”

Section: Autonomic/self-* Peer-to-peer and Network Managementmentioning

confidence: 99%