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This research paper explores proportional bandwidth allocation in Differentiated Services (DiffServ) networks, contrasting it with Integrated Services (IntServ). It delves into key challenges including scalability, signaling overhead, and convergence to fair allocation, while proposing a stateless proportional bandwidth allocation technique. By addressing the need for enhanced marking schemes and active queue management techniques, the study simulates existing and new methods to provide performance comparisons. Ultimately, it aims to improve quality of service (QoS) in IP networks while maintaining fairness in resource allocation.
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Proportional Bandwidth Allocation in DiffServ Networks Usman Raza Chohan 2005-03-0023
Organization of Presentation • IntServ vs. DiffServ • Bandwidth Allocation Schemes • Objective of Research • Challenges • Plan of Action
Quality of Service (QoS) in IP Networks • Integrated Services (IntServ) • Differentiated Services (DiffServ)
Scalability: Signaling, Maintaining per-flow router state Integrated Services (IntServ) request/ reply
marking r b scheduling . . . Differentiated Services • Design Goal • Move Complexity to Edges of the Network • Stateless core routers Edge router: Core router:
How to Allocate Resources in DiffServ Networks? • What should be the fairness Criteria? • Max-Min Fairness • CSFQ (Core Stateless Fair Queuing) • Rainbow Fair Queuing (RFQ) • Proportional Allocation • E. C. Park & C. H. Choi • P.K. Jagannathan et. al.
Max-Min Fairness • Water Filling Analogy
Rainbow Fair Queuing • Example • A: 10 Kbps • B: 6 Kbps • C: 8 Kbps • Each color: 2 Kbps
Proportional Allocation • Why Proportional Allocation? • Do you think min-max fairness is fairness for SLA based networks? • SLA defines Target rate which determines customer’s bill • Current DiffServ Networks are biased in favor of Smaller target rates
E. C. Park & C. H. Choi Adjust Target Rate Mark Priority (In/out) Use RIO for Preferential dropping Estimate Pin Congestion Notification Through Ack
P.K. Jagannathan et. al. Labeling using multiple token buckets Label value depends upon R/SIR ratio Higher Labels= Low Priority Uses RED with n Levels for Preferential dropping
Objective “A New Stateless Proportional Bandwidth Allocation Technique for DiffServ”
Challenges • Scalability (Statelessness) • Signaling overhead • Labeling overhead • Convergence to Fair allocation • Computational overhead
Plan of action • Research Involves • Enhancing or proposing Marking scheme • Enhancing or proposing Active Queue Management Technique • Simulating existing techniques and new technique • Performance Comparison of new technique with other proportional allocation techniques