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Dark and Panic Lab Computer Science, Rutgers University1 Impact of Layering and Faults on Availability and its End-to-End Implications Ricardo Bianchini, Richard Martin, Thu Nguyen Department of Computer Science Rutgers University
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Dark and Panic Lab Computer Science, Rutgers University2 Layers on Layers on Layers Application Language VM OS VM Operating System Virtual FS FS SCSIIDE Virtual Disk Socket TCP EnetWiFi IP
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Dark and Panic Lab Computer Science, Rutgers University3 Global Layering Tier 1 Tier 2 Tier 3 Load Manager Web Server DataBase IP Network Clients
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Dark and Panic Lab Computer Science, Rutgers University4 Availability Correct response within accepted time bound Fraction correct/90 th percentile response time Two components: Correctness Time bound To get to 99.999 nines (5 min unavailability/year) Not a lot of time to mess around
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Dark and Panic Lab Computer Science, Rutgers University5 2 Second Reponse time Tier 1 Tier 2 Tier 3 Load Manager Web Server DataBase IP Network Clients
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Dark and Panic Lab Computer Science, Rutgers University6 Impact of Faults and Layers Each layer built independently Intermediate layers hide exceptional conditions Buffer and continue Retry N Crashes Punt Hard to build availabile systems React quickly enough? Diagnosis difficult Prediction Application Language VM OS VM Virtual FS FS SCSI Virtual Disk try { do_stuff(); }catch(e) { freak_out(); } Fault
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Dark and Panic Lab Computer Science, Rutgers University7 End-to-End Implications Traditional Philosophy End-to-end checks necessary for correctness, Intermediate checks only a performance enhancement Availability oriented: End-to-end checks necessary for correctness Intermediate checks and timely cross-layer propagation of information necessary How to achieve these properties while maintaining layering?
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