Multipath Adaptive Packet Dispersion for Voice Applications
J. F. Banu and V. Ramachandran
Journal of Computer Science
DOI: 10.3844/jcssp.2012.454.459
Volume 8, Issue 4
Pages 454-459
Problem statement: The quality of Voice over IP applications is decided by the main factors like network capacity and technologies such as codec type, Packet Loss Concealment (PLC) and Forward Error Correction (FEC). Approach: In MPLS networks multiple Label Switched Paths (LSP) are established between MPLS ingress and egress nodes to enhance the network performance and QoS for subscribers. To enhance the Quality of Service, Multipath adaptive packet dispersion is proposed for voice applications in IP networks. Results: The trigger handler is proposed to check the balanced load in the system. If the network condition becomes unbalanced, the adaptive packet scheduler classifies the flows and routed to the best shortest paths with the help of proposed packet dispersion technique. Conclusion: The VoIP traffic is routed along the most adequate path that has enough resource to meet a given target QoS. Simulation results are reported to show the efficiency of the proposed technique for effective VOIP flows.
Adaptive Multi-Path Routing for Load Balancing in Mobile Ad Hoc Networks
Citation:
Soundararajan, S. and R.S. Bhuvaneswaran, 2012. Adaptive multi-path routing for load balancing in mobile ad hoc networks. J. Comput. Sci., 8: 648-655.
DOI: 10.3844/jcssp.2012.648.655
Effective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in Cluster
Citation:
Sammulal, P., M.V. Gopalachari and A.V. Babu, 2008. Effective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in Cluster. J. Comput. Sci., 4: 72-79.
DOI: 10.3844/jcssp.2008.72.79
Enhanced Variable Splitting Ratio Algorithm for Effective Load Balancing in MPLS Networks
Citation:
Murugesan, G., A.M. Natarajan and C. Venkatesh, 2008. Enhanced Variable Splitting Ratio Algorithm for Effective Load Balancing in MPLS Networks. J. Comput. Sci., 4: 232-238.
DOI: 10.3844/jcssp.2008.232.238
Implementation of Load Balancing Algorithm in a Grid Computing
Citation:
Boukerram, A. and S.A.K. Azzou, 2006. Implementation of Load Balancing Algorithm in a Grid Computing. Am. J. Applied Sci., 3: 1810-1813.
DOI: 10.3844/ajassp.2006.1810.1813
Load Balancing of Distributed Systems Based on Multiple Ant Colonies Optimization
Citation:
Ali, A., M.A. Belal and M.B. Al-Zoubi, 2010. Load Balancing of Distributed Systems Based on Multiple Ant Colonies Optimization. Am. J. Applied Sci., 7: 428-433.
DOI: 10.3844/ajassp.2010.428.433
Load Balancing on Open Networks: A Mobile Agent Approach
Citation:
Patel, R.B. and N. Aggarwal, 2006. Load Balancing on Open Networks: A Mobile Agent Approach. J. Comput. Sci., 2: 337-346.
DOI: 10.3844/jcssp.2006.337.346
Modeling Load Balancing in Heterogeneous Unstructured P2P Systems
Citation:
Li, Z.J. and M.H. Liao, 2005. Modeling Load Balancing in Heterogeneous Unstructured P2P Systems. J. Comput. Sci., 1: 323-331.
DOI: 10.3844/jcssp.2005.323.331
Secure Enhanced Authenticated Routing Protocol for Mobile Ad Hoc Networks
Citation:
Babu, M.R. and S. Selvan, 2011. Secure enhanced authenticated routing protocol for mobile ad hoc networks. J. Comput. Sci., 7: 1813-1818.
DOI: 10.3844/jcssp.2011.1813.1818
Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless Multicast
Citation:
Sukumar, R. and V. Vasudevan, 2009. Server Optimization Using Heuristic Algorithms for Dynamic-Split-and-Merge Scheme in Wireless Multicast. J. Comput. Sci., 5: 956-961.
DOI: 10.3844/jcssp.2009.956.961
Task Load Balancing Strategy for Grid Computing
Citation:
Yagoubi, B. and Y. Slimani, 2007. Task Load Balancing Strategy for Grid Computing. J. Comput. Sci., 3: 186-194.
DOI: 10.3844/jcssp.2007.186.194
Banu, J.F. and V. Ramachandran, 2012. Multipath adaptive packet dispersion for voice applications. J. Comput. Sci., 8: 454-459.
DOI: 10.3844/jcssp.2012.454.459
URL: http://thescipub.com/abstract/10.3844/jcssp.2012.454.459