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CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 13 – Quality of Service Concepts(Part 2) Klara Nahrstedt Spring 2009.

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Presentation on theme: "CS Spring 2009 CS 414 – Multimedia Systems Design Lecture 13 – Quality of Service Concepts(Part 2) Klara Nahrstedt Spring 2009."— Presentation transcript:

1 CS 414 - Spring 2009 CS 414 – Multimedia Systems Design Lecture 13 – Quality of Service Concepts(Part 2) Klara Nahrstedt Spring 2009

2 CS 414 - Spring 2009 Administrative MP2 posted

3 Multimedia System/Network CS 414 - Spring 2009 Network MM Application OS/DS/Network MM Application OS/DS/Network SenderReceiver

4 Relation between QoS and Resources CS 414 - Spring 2009 Translation, Negotiation Admission, Reservation

5 Phase 1: Establishment Phase (QoS Operations) CS 414 - Spring 2009 QoS Translation at different Layers  User-Application  Application-OS/Transport Subsystem QoS Negotiation  Negotiation of QoS parameters among two peers/components

6 Phase 1: Connection Establishment CS 414 - Spring 2009 Network MM Application OS/DS/Network MM Application OS/DS/Network SenderReceiver Translation Logical Negotiation of Network QoS Parameters Physical Transmission of Negotiation Parameters Logical Negotiation of Application QoS Parameters

7 QoS Operations within Establishment Phase CS 414 - Spring 2009 User/Application QoS Translation Overlay P2P QoS Negotiation Application/Transport QoS Translation QoS Negotiation in Transport Subsystem

8 Example Video Stream Quality:  Frame size: 320x240 pixels, 24 bits (3 Bytes per pixel)  Application frame rate RA: 20 fps Translate to Network QoS if  Assume network packet size is 4KBytes  Network packet rate (RN):= ┌ 320x240x3 ┐ bytes / 4096 bytes CS 414 - Spring 2009

9 Layered Translation (Example) CS 414 - Spring 2009

10 QoS Negotiation CS 414 - Spring 2009

11 Different Types of Negotiation Protocols Bilateral Peer-to-Peer Negotiation  Negotiation of QoS parameters between equal peers in the same layer Triangular Negotiation  Negotiation of QoS parameters between layers Triangular Negotiation with Bounded Value CS 414 - Spring 2009

12 Bilateral QoS Negotiation CS 414 - Spring 2009

13 Triangular QoS Negotiation CS 414 - Spring 2009

14 Triangular Negotiation with Bounded Value CS 414 - Spring 2009

15 Multimedia Resource Management Resource managers with operations and resource management protocols Various operations must be performed by resource managers in order to provide QoS Phase 1: Establishment Phase (resource operations) Operations are executed where schedulable units utilizing shared resources must be admitted, reserved and allocated according to QoS requirements Phase 2: Enforcement Phase Operations are executed where reservations and allocations must be enforced, and adapted if needed CS 414 - Spring 2009

16 Phase 1: Resource Preparation Operations QoS to Resource Mapping  Need translation or profiling (e.g., how much processing CPU cycles, i.e., processing time, it takes to process 320x240 pixel video frame) Resource Admission  Need admission tests to check availability of shared resources Resource Reservation  Need reservation mechanisms along the end-to- end path to keep information about reservations Resource Allocation CS 414 - Spring 2009

17 Continuous Media Resource Model One possible resource utilization model for multimedia data – Linear Bounded Arrival Process Model (LBAP) LBAP models message arrival process:  M – maximum message size (in bytes)  R – maximum message rate in messages per second  B – maximum burstiness (accumulation of messages) CS 414 - Spring 2009

18 LBAP Resource Model If we have (M,R,B), we can predict utilization of resources:  Maximum number N of messages arriving at the resource: N = B + R x TimeInterval Important for memory and CPU allocation  Maximal Average Rate R’ (in bytes per second): R’ = M x R Important for network bandwidth allocation  Maximal Buffer Size (BS in bytes): BS = M x (B+1) CS 414 - Spring 2009

19 Example of LBAP Consider M = 1176 Bytes per message, R = 75 messages per second, B = 10 messages During a time interval of 1 second, the maximum number of messages arriving at a resource must not exceed N = 10 messages + (75 messages/second * 1 second) = 85 messages Maximum average data rate in bytes per second is R’ = 1176 bytes * 10 messages/second = 88200 bytes/second Maximum buffer size in bytes in BS = 1176 bytes * (10 messages + 1) = 12936 bytes CS 414 - Spring 2009

20 Phase 1: Connection Establishment CS 414 - Spring 2009 Network MM Application OS/DS/Network MM Application OS/DS/Network SenderReceiver Translation Logical Negotiation of Net QoS Parameters Physical Transmission of Negotiation Parameters Network Resource Reservation Protocol Network Resource Admission and Resource Reservation System Resource Admission and Reservation Logical Negotiation of App QoS Parameters

21 Admission Tests Task (System) schedulability tests for CPU resources  This is done for delay guarantees Network Packet schedulability tests for sharing host network interfaces, network switches  This is done for network delay and jitter guarantees Spatial tests for memory/buffer allocation  This is done for delay and reliability guarantees Network Link bandwidth tests  This is done for network throughput guarantees CS 414 - Spring 2009

22 Resource Reservation and Allocation Two types of reservations  Pessimistic approach - Worst case reservation of resources  Optimistic approach - Average case reservation of resources To implement resource reservation we need:  Resource table to capture information about managed table (e.g., process management PID table)  Reservation table to capture reservation information  Reservation function to map QoS to resources and operate over reservation table CS 414 - Spring 2009

23 Resource Reservation Two types of reservation styles:  Sender-initiated reservation  Receiver-initiated reservation CS 414 - Spring 2009

24 Conclusion – Current State of Art Lack of mechanisms to support QoS guarantees  Need research in distributed control, monitoring, adaptation and maintenance of QoS mechanisms Lack of overall frameworks  Need QoS frameworks for heterogeneous environments (diverse networks, diverse devices, diverse OS) CS 414 - Spring 2009


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