1 / 9

Experimenting with Complex Event Processing for Large Scale Internet Services Monitoring

Experimenting with Complex Event Processing for Large Scale Internet Services Monitoring. Stephan Grell, Olivier Nano Microsoft, Ritter Strasse 23, Aachen, 52072, Germany Tel: +49 241 99784 533, Fax: +49 241 99784 77 { stgrell , onano }@ microsoft.com. Overview. Agenda:

kasi
Download Presentation

Experimenting with Complex Event Processing for Large Scale Internet Services Monitoring

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. Experimenting with Complex Event Processing for Large Scale Internet Services Monitoring Stephan Grell, Olivier Nano Microsoft, Ritter Strasse 23, Aachen, 52072, Germany Tel: +49 241 99784 533, Fax: +49 241 99784 77 {stgrell, onano}@microsoft.com

  2. Overview • Agenda: • SLA monitoring System • Scenarios • Language expressiveness • Offline analysis • Reliability

  3. European Microsoft Innovation Center (EMIC) Overview • Founded in May 2003 (under Craig Mundie) • ~40 employees + students • Goals: • Applied collaborative research with European partners (BT, Philips, etc…) • Participating in FP6, FP7 and other colaborative projects • Generating strong prototypes to drive interest at MS • Some internal projects for MS (port of CF for Symbian)

  4. SLA monitoring System Developed as part of the FP 6 SeCSE project

  5. Scenarios S1: Syntactic transactions S2: user generated events Monitor local service instances Aggregate on higher level Per service role Over service roles / per service Requirements: Distributed CEP system Capacity management High Availability • Test applications ping service functionality regularly • SLA evaluates success, response time and failure states • The system takes appropriate actions depending on the state • Requirements: • Single node CEP system • Pattern detection • state modeling Support for on the fly query adaptation and root cause analysis

  6. Language expressiveness • Detecting patterns? • Over available data • Over available data with temporal constraints • Building state machines? • Needed: a simple way to formulate a state machine  Question: How to enable a none expert to use the tools?

  7. Offline analysis / debugging • Required for debugging processing plans • CEP simulation environment • Automated event generation based on the query • Step by step execution of the query • Conditional break point setting • Smart logging at runtime • Only required traces are stored of the query in question • Only the data is stored that issued a “bad” result • Support for building the right query from the available data

  8. Reliable Infrastructure • Survive failures: High availability • Replication • Distributed storage • Correct output - How to compare outputs? • Deal with overload scenarios • Intelligent load shedding v. delayed execution  Question: what is the required “quality of service”

  9. Next Steps • Engaging in new scenarios • Development focuses on • High Availability • Debugging / Root Cause analysis • Explore heterogeneous CEP systemthat spans • Servers • Embedded devices • Sensors • The cloud?

More Related