1 / 23

Hybrid Techniques for Detecting and Resolving Feature Interactions in Telecommunication Services

Hybrid Techniques for Detecting and Resolving Feature Interactions in Telecommunication Services. Resolution Choices for an Online Feature Manager. FIW’00: Glasgow, 16 -19 May 2000. Stephan Reiff University of Glasgow http://www.dcs.gla.ac.uk/~sreiff sreiff@dcs.gla.ac.uk.

sanne
Télécharger la présentation

Hybrid Techniques for Detecting and Resolving Feature Interactions in Telecommunication Services

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. Hybrid Techniques for Detecting and Resolving Feature Interactions in Telecommunication Services Resolution Choices for an Online Feature Manager FIW’00: Glasgow, 16 -19 May 2000 Stephan Reiff University of Glasgow http://www.dcs.gla.ac.uk/~sreiff sreiff@dcs.gla.ac.uk

  2. Work, Project and Partners • Joint work with Prof. Muffy Calder • Project (EPSRC funded): Hybrid Techniques for Detecting and Resolving Feature Interactions in Telecommunication Services • Partners: • University of Strathclyde, Glasgow • Citel • Mitel • http://www.dcs.gla.ac.uk/research/hfig/

  3. Overview • Motivation and Background • The Hybrid Approach • Definitions • Feature Interference • The Feature Manager • Solution Space • Open Questions and Further Work

  4. Motivation and Background • Motivation • Feature Interaction Problem • Legacy and Proprietary Systems • Extension needed • Knowledge about internal behaviour unavailable/unreliable • Background • Work by Marples,Magill and Tsang; all have shortcomings • We use Marples and Magill’s approach • Hybrid? Use offline analysis to find general rules ... … to controlonline feature manager

  5. Example Features (1)

  6. Definitions • Messages • IO-aspect(event, source, destination, value) • relations between messages: • equal, inverse and name equivalent • Alphabet • Set of messages (partitioned into Input and Output messages) • Trace • non-empty, finite sequence of messages (starting with an input message) • Feature • non empty set of traces over a minimal alphabet • [Show examples]

  7. Example Features (2) iaf = [[+(forwardcall,id,n,a)-(oinform,id,a,"Call Forwarded")]] cfu = [[+(ialert, a, b,-)-(forwardcall,id,n,a)]] tl = [[+(offhook, id, id,-)-(announce,id,id,"PIN?") +(onhook, id, id,-)], [+(offhook,id,id,-)-(tau)], [+(offhook,id,id,-)-(announce,id,id,"PIN?") +(dial,id,id,n)-(tau)], [+(offhook,id,id,-)-(announce,id,id,"PIN?") +(dial,id,id,n)-(announce,id,id, "wrong PIN") +(onhook,id,id,-)]]

  8. Feature Interference Definition:Feature Interference n features F1…Fn with alphabets a1…an interfere iff In words: Features interfere iff they have either a common input message or one feature’s output message is the other features input message.

  9. Resolution Process

  10. Solution Space (1) • What is it? • A set of all traces that can be generated from the features individual traces • simple example: • How do we obtain it? • Add all traces of just one feature • Add all combinations of traces of 2 features • Add all combinations of traces of 3 … • …

  11. Solution Space (2) • The combinations are sets of all possible overlapping interleavings • Here we will consider overlapping interleavings of just 2 traces • [example]

  12. Examples for oi2 • Example 1: t1 = {(+a-b+c)} t2 = {(+x-a-b)} oi2(t1, t2) = {(+x-a+a-b+c)} • Example 2: t3 = {(+d-e)} t4 = {(+d-f)} oi2(t1, t2) = {(+d-e-f), (+d-f-e)} • [Question: Why keep -a+a?] • [Answer: Examples (CFB + BC with busy and BC + CND with free)]

  13. Pruning: Simple Rules • No useful behaviour is provided by: • consecutive announcement messages without an intermediate input • tones and announcements after onhook • The message t can be removed from traces • Duplicate traces can be removed • [Example]

  14. An Example >>> printshort(fm("xxx",fiwtl,fiwtcs)) These features interfere,finding resolution ... 0 : (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,tau ) 1: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,wrong PIN )(-,tau )(+,onhook ,-) 2: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,wrong PIN )(+,onhook ,-)(-,tau ) 3: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,tau )(-,announce,wrong PIN )(+,onhook ,-) 4: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,screened )(+,onhook ,-)(-,tau ) 5: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,screened )(-,tau )(+,onhook ,-) 6: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,tau )(-,announce,screened )(+,onhook ,-) 7: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,wrong PIN )(-,announce,screened ) (+,onhook ,-)(+,onhook ,-) 8: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,wrong PIN )(+,onhook ,-) (-,announce,screened )(+,onhook ,-) 9: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,screened )(-,announce,wrong PIN ) (+,onhook ,-)(+,onhook ,-) 10: (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,screened )(+,onhook ,-) (-,announce,wrong PIN )(+,onhook ,-) 11 : (+,offhook ,-)(-,announce,PIN? )(+,onhook ,-) 12 : (+,offhook ,-)(-,tau ) 13 : (+,offhook ,-)(-,announce,PIN? )(+,dial,n )(-,announce,wrong PIN )(+,onhook ,-) 14 : (+,dial,n )(-,tau ) 15 : (+,dial,n )(-,announce,screened )(+,onhook ,-)

  15. Open Questions and Next Steps • We need to refine pruning • What are bad resolutions? • What is a/the best resolution? • Is there always a best resolution? • Can we combine construction and pruning? • What is the complexity? • How well does the approach scale up? • Is an observable approach sufficient? • Use Process Algebra? • New Operator(s) for Construct and Prune

  16. Conclusion

  17. Any Questions? References: http://www.dcs.gla.ac.uk/research/hfig http://www.dcs.gla.ac.uk/˜sreiff

  18. Relations between Messages • Name equivalent, event type and values are equal • Equal , name equivalent and IO aspect are equal • Inverses, name equivalent and IO aspect not equal

  19. A functional View of the FM • The feature manager has to construct the solution space and extract the best solution from it. • Definition:Feature Manager • [Explain individual subfunctions]

  20. Construct

  21. oi2 First(tj) denotes the first message in a trace.

  22. Overlapping Interleaving

  23. f() and int()

More Related