1 / 46

Multipath Routing for Video Delivery over Bandwidth-Limited Networks

Multipath Routing for Video Delivery over Bandwidth-Limited Networks. S.-H. Gary Chan Jiancong Chen Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay, Kowloon. Outline. Introduction

cassia
Download Presentation

Multipath Routing for Video Delivery over Bandwidth-Limited Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Multipath Routing for Video Delivery over Bandwidth-Limited Networks S.-H. Gary Chan Jiancong Chen Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay, Kowloon

  2. Outline Introduction Multipath routing heuristic for point-to-point video delivery Scheduling algorithm at the server to achieve the theoretical minimum start-up delay Extension to point-to-multipoint layered video delivery Conclusion

  3. Introduction

  4. Research Motivation • Deliver quality video services over bandwidth-limited networks (e.g., the Internet) • Video application requirements • High bandwidth • Low start-up delay or network transmission cost • Traditional routing based on single path approach (e.g., the shortest path routing) is no longer sufficient to meet the bandwidth requirement • QoS routing

  5. Negotiating and Guaranteeing QoS in the Internet • Integrated services/Resource Reservation Protocol (RSVP) • Multi-protocol label switching (MPLS) • Differentiated services model (DiffServ) • Traffic engineering • Constraint-based routing

  6. Constraint-Based Routing • Compute routes subject to multiple constraints • Distribution of link state information • Route computation • Goals • Select routes that can meet certain QoS requirements • Increase utilization of the network

  7. Meeting Bandwidth Requirement with Low Delay: Multipath Routing • The video data is transmitted over multiple paths in the network • Increasing the overall aggregate delivery bandwidth • Routing to meet the bandwidth requirement • The end host needs to do reassembly • Increasing the start up delay • Server scheduling to reduce the delay

  8. Previous Work on Multipath Routing • Search multiple paths and select the best one • E.g., selective probing • Find multiple paths for a connection (e.g., disjoint paths routing) • Mainly designed for reliability rather than high aggregate bandwidth

  9. Our Work • A multipath heuristics for point-to-point video delivery • Low delay and buffer requirement • Efficient • Given a set of path lengths • The theoretical minimum delay achievable • A scheduling algorithm to achieve that • For point-to-multipoint communication with heterogeneous bandwidth requirement • How the multicast trees should be constructed to minimize the cost of the tree-aggregate • The corresponding number and bandwidth of the video layers

  10. Multipath Routing for Point-to-Point Video Delivery

  11. A Point-to-Point Video Network

  12. Multipath Problem Formulation: Bandwidth-Constrained Delay-Optimized Problem • Given: • A source s • A destination t • Bandwidth requirement B • B less than the max-flow of the network • Find routing and scheduling algorithms to achieve • Bandwidth no less than B • Minimum delay

  13. Desirable Properties of Routing Algorithms • Efficient • Similar complexity as the shortest path routing • Fast route convergence • Achieving high end-to-end bandwidth • Preferably the max-flow of the network • Amendable to the current Internet routing

  14. A Multipath Routing Heuristics • Find the max-flow sub-graph G’ of the network • Find the shortest-path in the sub-graph G’ • If the aggregated bandwidth of the path(s) found is sufficient, return • Subtract the bandwidth from G’ along the path just found • Repeat steps 2 to 4

  15. (20,7) (20,7) v1 v1 v4 v4 (10,12) (10,12) (8,13) (8,13) (15,6) (15,6) (5,13) s s v3 v3 t t (10,5) (10,5) (10,10) (15,7) (15,7) (10,8) (10,8) (15,7) (15,7) (20,6) (20,6) v2 v2 v5 v5 (10,14) An Example

  16. Simulation Model • Hierarchical network • 3-hierarchy nodes: backbone routers, border routers and intra-domain routers • Random links • System parameters • Network size • Network density • Connectivity, etc

  17. Comparison with the Traditional Approaches • Shortest path • Shortest-feasible path • Remove the links with insufficient bandwidth • Run the shortest path algorithm over the residual network • Performance measures • Success rate in meeting the bandwidth requirement • Bandwidth achieved • End-to-end delay, given by the longest path

  18. High Success Rate

  19. High Bandwidth Achieved

  20. Low Average Delay

  21. Hierarchical routing • Logical hierarchical topology as in the Internet • State information • Only full local information is maintained • Remote state information is partially maintained • Compute multiple routes in the regions in parallel • Reduce computation complexity, processing time, and storage

  22. s t An example Upper hierarchy Lower hierarchy

  23. Server Scheduling Algorithm

  24. Problem Formulation • Given a set of path lengths • What is the theoretical minimum start-up delay achievable if video data can be scheduled? • Guarantee continuity • Find a data scheduling algorithm at the server to achieve such minimum delay • No other algorithms can achieve lower delay while maintaining stream continuity

  25. A Simple Case • Two paths with the same bandwidth of B/2 but different delays d1and d2 (d1< d2) • Without server scheduling, the start-up delay equals the delay of the longer path, i.e., d2

  26. Data Slope=B Slope=B/2 Time d2 d1 0 original delay minimized delay The Theoretical Minimum Delay • Data production and consumption curves • The difference is the buffer requirement • In the example, the minimum start-up delay is (d1+d2)/2

  27. The Idea • Don’t indiscriminately multiplex video packets along all the paths • The server sends the video prefixes along the shorter paths • The client plays back the prefixes with stream continuity • Before the data from the longest path arrives

  28. Video data To path 1 To path 2 To path 1 The Scheduling Algorithm • The video sequence is partitioned into segments • All the segments are transmitted in parallel over the multiple paths • The earlier segments are transmitted over the shorter paths

  29. General Case of Scheduling p K p 2 p 3 . . . p . . . 1 p p 2 1 p 2 p p 1 1 . . . t t t t V i d e o t i m e t 0 1 2 3 K - 1

  30. An Exact Solution Solving the Multipath Problem • A network with unit link bandwidth • Multipath is disjoint paths • With scheduling, the problem is to find the shortest-disjoint paths (SDP) • Bandwidth requirement: B units • Find the B-shortest-disjoint paths • The sum of their delays is minimum • The shortest-disjoint paths algorithm is well known

  31. Rescheduling Achieves a Delay Comparable to the Shortest Path

  32. Extension to Point-to-Multipoint Video Delivery

  33. A Video Multicast System • A server and multiple clients • The clients have different bandwidth requirements • A link is characterized by its bandwidth and cost • Find multiple multicast trees spanning the multicast group • Meeting the heterogeneous bandwidth requirements of the members • With minimum cost of the tree-aggregate • Assignment of video layers • A base layer and several enhancement layers • The number of video layers, and • Their respective bandwidths

  34. A Simple Case • All the users have the same requirement B • Multiple trees are used to span all the users • With minimum cost of the tree-aggregate • If all the bandwidth requirements are met • A single video layer with bandwidth B • Otherwise, layered video can be used • The higher layers serve users with increasing end-to-end bandwidth

  35. Users Base layer tree 1 Base layer tree 2 Enh. layer tree 1 An Example s

  36. Problem Formulation: Bandwidth-Constrained Cost-Optimized Problem • Given • A source s • A set of destinations Y (= {y1, y2,…, yn}) • Bandwidth requirement B (= {b1, b2,…, bn} ) • Find multiple trees T to achieve • Bandwidth no less than bifor yi • Minimum cost of the aggregated “mesh” • The corresponding number and bandwidth of the layers, and along which trees a layer transmits • Multiple trees • To find a min-cost tree (Steiner tree) is NP-hard • To construct such multiple trees is even harder

  37. Two Heuristics: Multipath Extension • Based on point-to-point multipath heuristic • First meet the bandwidth requirement of each user with the multipath heuristics • Aggregate the paths • Construct trees out of the paths-aggregate • Each tree has a certain bandwidth equal to the bandwidth of the bottleneck link • There is at least one tree spanning all the users • Complexity: O(m|V|3) • Bandwidth-first approach

  38. Min-Cost Tree Extension • First find a min-cost multicast tree spanning all the users • Add branches to the tree until all the bandwidth requirements are met • Closest receivers • Forming new trees • Complexity: O(mB|V|2) • Cost-first approach

  39. Bandwidth Assignment of Layers • Group the trees spanning the same set of users • Arrange these groups according to decreasing number of users covered • The previous set of users is the superset of the latter • The aggregate bandwidth of the first tree-group is the bandwidth of the base layer • The aggregate bandwidth of the 2nd group is the bandwidth of the enhancement layer 1, and so on

  40. Users Base layer tree 1 Base layer tree 2 Enh. layer tree 1 An Example on Layering s

  41. Simulation Results • Hierarchical network • Comparing with a single-tree approach (shortest path tree) • Performance measures • Success rate of meeting the bandwidth requirements of the users • Average bandwidth achieved • Cost

  42. High Success Rate

  43. High Average Bandwidth

  44. Slightly Higher Cost

  45. Conclusion • Video routing over a bandwidth-limited network • Multi-path heuristic • Achieve high end-to-end bandwidth with low delay • Video scheduling algorithm at the server • Reduce the start-up delay to the theoretical minimum • Extension to multicast environment • Meeting heterogeneous bandwidth requirements • Minimum cost of the tree-aggregate

  46. Questions and Answers Thank you!

More Related