# International Journal of Advanced Research in Computer Science and Software Engineering

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2 II. GLOBAL NETWORK POSITIONING (GNP) GNP estimates host coordinates in a multidimensional Euclidean space such that the distance between two hosts in the Euclidean space correlates well with the measured roundtrip time between them [3]. In GNP, a few hosts are used as landmarks. Landmarks first measure the round-trip time between each other and forward results to one of them. The landmark receiving results uses the results to compute the landmark coordinates in Euclidean space. He coordinates are then disseminated back to the respective landmarks. More specifically, to estimate landmark coordinates, he following objective function is minimized. Where M is the number of landmarks, Li and Lj are the coordinates of landmarks i and j in the Euclidean space, and RTT (i,j) is the round-trip time between i and j. As shown, Jlandmark is the sum of the estimation error between the measured round-trip time and the logical distances in the Euclidean space among the landmarks. Therefore, we seek a set of landmark coordinates such that the sum is minimized. If there are multiple sets of {L1; L2;... ; LM} to minimize Jlandmark, any one set can be used. Given the landmark coordinates, a normal host estimates its coordinates by minimizing a similar objective function: Where Hu is the coordinates of host u, and RTT (u,i) is the measured round-trip time between host u and landmark i. Note that landmarks do not have to be permanent. It is easy to modify to remove a failed landmark or add a new landmark. Each host can obtain its coordinates by pinging O (1) landmarks and using O (1) messages. It is highly efficient and scalable. III. IMPLEMENTATION Implementation is the stage of the project when the theoretical design is turned out into a working system. Thus it can be considered to be the most critical stage in achieving a successful new system and in giving the user, confidence that the new system will work and be effective. The implementation stage involves careful planning, investigation of the existing system and it s constraints on implementation, designing of methods to achieve changeover and evaluation of changeover methods. A. Peer to Peer Network Module: P2P streaming system, the server (or a set of servers) usually provides multiple channels. A peer can freely switch from one channel to another, Peers in the same group share and relay the same streaming content for each other B. Distributed partition detection Module: We use Delaunay Triangulation (DT) as an example. We propose several techniques to improve the DT mesh, e.g., for accurately estimating host locations and distributed partition detection. Based on the mesh, we study several tree construction mechanisms to trade off delay and network resource consumption automatically Adjust itself to form anew mesh. The trees on top of it will then accordingly adjust tree nodes and tree edges. Also note that in SMesh a host may join as many groups as its local resource allows. If a host joins multiple groups, its operations in different groups are independent of each other. 2012, IJARCSSE All Rights Reserved Page 307

3 C. Dynamic Joining Host Module: Fig : Distributed detection peer to peer two adjacent triangles nodes A joining host, after obtaining its coordinates, sends a Mesh Join message with its coordinates to any host in the system. Mesh Join is then sent back to the joining host along the DT mesh based on compass routing. Since the joining host is not a member of the mesh yet, it can be considered as a partitioned mesh consisting of a single host. The Mesh Join message finally 0+triggers the partition recovery mechanism at a particular host in the mesh, which helps the new host join the mesh. D. Path Aggregation for QoS Provisioning Module: Two independent connections across domains A and B are set up, which leads to high usage of long paths and hence high network resource consumption. Furthermore, in the traditional DT protocol, a host may have many children. However, a host often has a node stress threshold K for each group depending on its resource. To address these problems, we require that the minimum adjacent angle between two children of a host should exceed a certain threshold T Consider a source s and a host u in the network. Once u accepts a child, u checks whether its node stress exceeds K or whether the minimum adjacent angle between its children is less than T It selects a pair of children with the minimum adjacent angle and delegates the child farther from the source to the other. Note that after aggregation, the overlay tree is still loop free because hosts are still topologically sorted according to their distances from the source 2012, IJARCSSE All Rights Reserved Page 308

4 Fig 1: Peer Connection Diagram Fig 2: Peer Crashing Diagram Fig 3: Dynamic peer graph probability 2012, IJARCSSE All Rights Reserved Page 309

5 Fig 4: Dynamic peer graph IV. CONCLUSION In P2P streaming networks, users may frequently hop from one group to another. In this paper, we propose a novel framework called SMesh to serve dynamic groups for Internet streaming. SMesh supports multiple groups and can efficiently distribute data to these dynamic groups. It first builds a shared overlay mesh for all hosts in the system. The stable mesh is then used to guide the construction of data delivery trees for each group. We study three ways to construct a tree, i.e., embedded, bypass, and intermediate trees. We also propose and study an aggregation and delegation algorithm to balance the load among hosts, which trades off end-to-end delay with lower Network resource usage. Through simulations on Internet-like topologies, we show that SMesh achieves low RDP and low link stress as compared to traditional tree-based protocols. In our simulations, a bypass tree performs better than an embedded tree in terms of RDP but not so for link stress. By Adjusting message threshold, an intermediate tree can achieve performance between bypass and embedded trees. REFERNCES 1. X. Zhang, J. Liu, B. Li, and T.-S.P. Yum, CoolStreaming/DONet: A Data-Driven Overlay Network for Peer-to- Peer Live Media Streaming, Proc. IEEE INFOCOM 05, pp , Mar X. Liao, H. Jin, Y. Liu, L.M. Ni, and D. Deng, Anysee: Peer-to- Peer Live Streaming, Proc. IEEE INFOCOM 06, Apr Y. Tang, J.-G. Luo, Q. Zhang, M. Zhang, and S.-Q. Yang, Deploying P2P Networks for Large-Scale Live Video-Streaming Service, IEEE Comm. Magazine, vol. 45, no. 6, pp , June X. Hei, Y. Liu, and K.W. Ross, Inferring Network-Wide Quality in P2P Live Streaming Systems, IEEE J. Selected Areas in Comm., vol. 25, no. 9, pp , Dec X. Hei, C. Liang, J. Liang, Y. Liu, and K.W. Ross, A Measurement Study of a Large-Scale P2P IPTV System, IEEE Trans. Multimedia, vol. 9, no. 8, pp , Dec M. Cha, P. Rodriguez, J. Crowcroft, S. Moon, and X. Amatriain, Watching Television over an IP Network, Proc. ACM Internet Measurement Conf. (IMC 08), pp , Oct Rossi, M. Mellia, and M. Meo, A Detailed Measurement of Skype Network Traffic, Proc. Int l Workshop Peer-To-Peer Systems (IPTPS 08), Feb J. Liebeherr, M. Nahas, and W. Si, Application-Layer Multicasting with Delaunay Triangulation Overlays, IEEE J. Selected Areas in Comm., vol. 20, no. 8, pp , Oct T.S.E. Ng and H. Zhang, Predicting Internet Network Distance with Coordinates-Based Approaches, Proc. IEEE INFOCOM 02, pp , June L. Tang and M. Crovella, Virtual Landmarks for the Internet, Proc. ACM Internet Measurement Conf. (IMC 03), pp , Oct , IJARCSSE All Rights Reserved Page 310

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