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CS848 Class Project: A Survey on QoS for Multi-tier Web Systems

CS848 Class Project: A Survey on QoS for Multi-tier Web Systems. Huaning(Mike) Nie 2006.11.29. Agenda. Motivation Background QoS in General Multi-tier Architecture QoS for Multi-tier Web System Proposed Solutions Future Work. Motivation.

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CS848 Class Project: A Survey on QoS for Multi-tier Web Systems

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  1. CS848 Class Project:A Survey on QoS for Multi-tier Web Systems Huaning(Mike) Nie 2006.11.29

  2. Agenda • Motivation • Background • QoS in General • Multi-tier Architecture • QoS for Multi-tier Web System • Proposed Solutions • Future Work

  3. Motivation • More and more information service system emerge on the Internet. • Many of these service systems exhibit poor quality, such as: • Unpredictable response time • Useless query result • Unsuitable for mission-critical applications

  4. Background: QoS in General • A traffic engineering term • A list of control mechanisms that can provide different level of priority to different customers; • Or Guarantee a certain level of performance to a data flow. • Applications require QoS: streaming multimedia, voice over IP, etc.

  5. Background: Multi-tier Architecture • An extension of the classic client-server model • Usually three tiers: presentation, business services, data services • More complex logic, high scalability, easy deployment

  6. QoS for Multi-tier System • Paper: Weikum, G. Towards guaranteed quality and dependability of information services, 1999 • System-centric: • Reliability • Availability • MTTF/(MTTF+MTTR) • Response time goal • Throughput

  7. QoS for Multi-tier System • Information-centric • Accuracy • Comprehensiveness • Timelineness • Note: For some application the customer may only be interested in a portion of the query result.

  8. This VS QoS for Streaming Multimedia • Key differences: • QoS parameters • Deliverables: query result VS video or audio • Main bottleneck

  9. Proposed Solutions • System-centric • Reliability + Availability • Using replicas • Response time goal: • Scheduling • Queuing • Resource allocation adjustment • Buffer memory allocation, disk access control, etc.

  10. Proposed Solutions • Information-centric • Timelineness (Currency) • “Good enough in SQL” paper

  11. Proposed Solutions • Combined system and information goals: • Paper: Braumandl, R. Quality of service in an information economy, 2003 • Consider QoS in Query optimization, plan instantiation and plan execution.

  12. Future Work • More approaches for information-centric requirement • More approaches for database fast recovery • Suggestions

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