Proven IP Network Services: from End-User to Router and vice versa

Transcription

1 Proven IP Network Services: from End-User to Router and vice versa Gerald Eichler, Ralf Widera T-Systems Nova, Technologiezentrum Darmstadt Anne Thomas Dresden Technical University, Department of Computer Science, Institute SMT This work is partially funded by the European Union under contract number IST AQUILA AQUILA 1

2 Outline Applications: the Centre of the QoS Offer end-user perception application modelling Network Services: the Network Operator s Offer service level specification graphical user interface Traffic Classes: the Engineering of IP Quality of Service router configuration network QoS parameters Measurements: the Proof Technique at Network Level distributed measurement architecture Outlook and Summary 2

3 QoS Parameter affecting Application Perception Throughput video conferencing Jitter video on demand video conferencing Error video on demand voice over IP ftp online games online trading voice over IP Delay , ftp Loss online games online trading 3

4 Application Modelling (e.g. video conference, VoIP...) (e.g. video, image, voice, audio...) (e.g. small, medium, big image...) (network level) (end-user level, metaphors) 4

5 Traffic Characterisation Alternatives Traffic Packet Characteristics burstiness packet size Traffic Flow Characteristics greediness elasticity Schedule Constraints life time frequency flat bursty small large non-greedy greedy elastic stream short-term long-term seldom often 5

6 Limited Set of Network Services video conferencing Premium Variable Bit Rate (PVBR) four premium services Premium Multi-Media (PMM) video on demand Premium Constant Bit Rate (PCBR) Premium Mission Critical (PVBR) one best effort service Standard (STD) voice over IP , ftp online games online trading 6

7 Network Services Landscape PCBR 7 audio video real-time PVBR PMM FTP, bulk data, elastic streeming non-real time with QoS assurances PMC transaction data Application oriented perspective Traffic oriented perspective no statistic gain small packets statistic gain large packets UDP flows with QoS assurances TCP flows greedy non-greedy no QoS assurances no QoS assurances STD

8 Service Level Specification for Reservation Scope indicates the topology of ongoing reservation with reference to end-points of the traffic flow Flow Indication focuses on the association between packet level and application level Traffic Description/Conformance Testing describes the traffic relevant for the reservation Performance Guarantees summarises the commitment of the network operator to fulfil the customer requirements Service Schedule provides information regarding the start time and the service duration 8

9 Reservation GUI: Application Selection 9

10 Reservation GUI: Service Level Specification 10

11 Reservation GUI: Traffic Specification 11

12 Router Capability Exploitation TC... Traffic Class WRED... Weighted Random Early Detection WFQ... Weighted Fair Queuing PQ... Priority Queuing ingress buffering shaping? classification marking policy : queue selection PCBR TC PVBR TC PMM TC PMC TC STD TC drop policy (WRED) PQ scheduling (WFQ) + queue length egress buffering shaping 12

13 Influence Factors on Network QoS Parameters Packet Loss link capacity Bandwidth (Throughput) multiple paths multiple queues Packet Order Violation link utilisation buffer length queue length scheduling strategy Packet Delay 13 Packet Delay Variation (Jitter)

14 Distributed Measurement Architecture MAa... Measurement Agent (application-like)... with traffic generators that produce application-like flows (reproducible experiments as opposed to real applications) MAp... Measurement Agent (probing)... that perform active network probing (constant monitoring of the whole network) DB DB... Database...stores configuration data and measurement results MIC... Management Information Collector... that supply router statistics (traffic rates, queue lengths, packet drop counters) MIC MAa MAp MAp MAa Host CR... Core Router ER... Edge Router DiffServ Core Network CR Access CR Network ER ER Access Network CR Host User Data Flow Measurement Flow per Network Service Data Collection 14

15 Outlook Under Common Development support of Globally Well-Known Services for inter-domain QoS definition and support of Application Profiles selection of a QoS definition language development of enhanced measurement tools Within the AQUILA Project pan-european trial with multiple domains verification of the enhanced architecture adaptation of Network Services Further Information URL: 15

16 Summary A Level based Approach... reflects the Innovative chain: customer ISP operator provides predefined services for Internet application support allows optimised network entity configuration Computing ensures the given guarantees by measurements supports a vertical and horizontal System s scalability End-User Application Level Network Services Level Traffic Classes Level Physical Network Measurements 16

17 Thank you for your attention! 17