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Currently, P2P application accounts for a majority of the network traffic. It is significant to study P2P recognition for network monitoring and management, as well as the improvement of service quality. There are many ways to identify P2P traffic, but it is difficult to identify effectively with only one method. To obtain the optimal classification, different methods should be used comprehensively...
Peer to peer (P2P) technology has dramatically transformed the landscape of the Internet traffic in recent years, which induces greatly attention and research on the deployment of P2P-based applications in heterogeneous networks. Indeed many obstacles still lie ahead. The main objective of this paper is to present a new method to deploy the most promising P2P technologies for heterogeneous networks...
As network complexity will grow to accommodate new users and applications, traffic management relying on humans will fall short. At the same time, the rise of global services and mobile users will make single-domain, self-interested traffic management adversarial. Autonomous and cooperative traffic management could serve future networks better. We present a method, called economic traffic management,...
This work presents an Internet traffic classification methodology based on statistical discriminators and cluster analysis. An accuracy identification of Internet applications is an important research area, because it is directly related to solve many network problems such as: quality of service (QoS), traffic control, security, network management and operation. The main difference to previous approaches...
The concept of SATO (Service-aware Adaptive Transport overlays) is proposed within a European project (Ambient Networks). It introduces a virtual network, named overlay network, to fit the particular requirements of the Ambient Networks' services, and to achieve service adaptation and service customization. In its first phase, the QoS consideration design relied only on the underlying physical network,...
In this paper we presented novel distributed network management architecture for self-organizing network to overcome disadvantages that come along with central management approach, like lack of reliability and scalability. By introducing the distributed network agents (DNA), the proposed framework self-organizes and maintains an overly which can fulfill the autonomic communication, and achieve diverse...
The following topics were dealt with: local computer networks; peer-to-peer; QoS; wireless sensor networks; radio networks; storage; distribution; traffic characterisation; network routing; optical networks; services; traffic control; power efficiency; wireless local area networks; network security; ad hoc networks; multicast networks; network management; DiffServ; mobile networks; resource allocation;...
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