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Download Download PDF. Translate PDF. Therefore, the choice led to an increasing demand for bandwidth in broadband access of an appropriate architectural approach and sizing model for networks, but also to the need for new service delivery archi- the aggregation and edge part of the network, remains complex tectures.

The choice of an appropriate architectural approach and sizing model for the aggregation network is studied in this and multi-dimensional, encompassing new aspects of non-stop paper through cost optimization models, which encompass as- delivery, service flexibility and policy management [8].

We propose two independent quantitative paper a comprehensive study of the two major aggregation programming models that identify the cost of each architecture topologies. The paper discusses the problem of where to place and the corresponding effect of each of the hardware constraints and traffic flows.

We show that due to the next generation certain functions mainly focusing on subscriber termination applications, the ISPs will need to re-engineer the broadband versus transport functions, multicast replication point and rout- access infrastructure to accommodate intelligent aggregation and ing of P2P traffic. Specific attention is given to methodologies optimize for QoS-sensitive services. Our multi-parameter optimization models The recent proliferation of multiplay services has dramat- are fed by databases of service flows and hardware values, cre- ically increased the bandwidth requirements in broadband ate the corresponding constraints and determine the optimum networks.

According to several studies, the annual global IP allocation of the network elements. The models are evaluated traffic will exceed a half of a zettabyte in the following with a combination of service traffic profiles and hardware years, therefore doubling in value every two years [1][2]. A more detailed study of those traffic profiles indicates that The paper is organized as follows: In the next section, Internet Video is approximately one-quarter of all consumer the two investigated topologies are explained and in Section internet traffic.

In this paper, we specifically focus on developing the tools that the Service Providers SP may use in order to design II.

Centralized Edge Design meeting those challenges. In this type of architecture, the L2 Metro Ethernet aggre- Telecommunication network planning has been for several gates the traffic from multiple access points before the IP Edge years a fundamental research problem in the design of com- network, as shown on Fig. Some of the characteristics of puter networks, leading to different kinds of network models this architecture are: 1 all types of traffic are backhauled and optimization algorithms, as shown in the chapters of to the Broadband Network Gateways BNGs and then to a [3][4].

In the operation research literature [4][5], the problem single P-Router or PoP Point of Presence location, which of the location of the L2 and L3 devices is regarded as an hier- is connected to the ISP backbone; 2 subscriber termination archical two-level location problem, under the limitation that functionality, multicast replication and IP QoS policies are a tree architecture exists between them.

However, the recent changes in traffic patterns all customer premises. The authors would also like to thank Dr. Matthias SPs as an alternative architecture to satisfy the bandwidth Falkner for his contribution. As shown in Fig. Video A. The scalability is increased, since the amount of maximum device capacity of L2 for level 2, and K or J Edge state information in the BNG is decreased less subscribers Router or aggregation switch locations with maximum device are terminated per BNG and IP QoS is enforced closer to the capacity L3 for level 3.

Each location has specific factors that last mile. The elements of the vector are the overlay network. Each L2 access location e. DSLAM, the cost, con ; the capacity, Cn ; the number of subscribers Wireless BS is connected to a level 2 location, and corre- terminated in the edge router and number of VLANs switched spondingly the level 2 location is connected with a level 3 per aggregation switch, subn ; the number of ports, portn ; the location, as shown on the above figures.

The last level is the physical size, sizen. The presented models are scaled per be expressed as, given the appropriate locations, to optimally access node location, and not per subscriber, because 1 the allocate the network elements and to identify the number of multiplication of the number of subscribers with the access interfaces since each interface is associated with a link both nodes would make the problem huge; 2 the ISPs are usually terms are used interchangeably.

P 2Pup becomes P 2Pdn. Traffic Flows Again for the distributed case, d goes up to 2. P 2Pup to P 2Pdn. It is also assumed that the percentage X X of users per i access locations e. The i j j k k IPTV traffic flow in the access locations is associated with the number of viewers, popularity of the channels, and multicast and the constraints are the capacity of each of the network flows.

Hence at each access location elements, which can switch or route finite number of traffic flows. The first three terms on the left side are interconnected.



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