Experiences with Pip: finding unexpected behavior in distributed systems

Authors:
Patrick Reynolds;Janet L. Wiener;Jeffrey C. Mogul;Mehul A. Shah;Charles Killian;Amin Vahdat
Affiliations:
Duke University;HP Labs, Palo Alto;HP Labs, Palo Alto;HP Labs, Palo Alto;UC San Diego;UC San Diego
Venue:
Proceedings of the twentieth ACM symposium on Operating systems principles
Year:
2005

Citing 3
Cited 1

Bullet: high bandwidth data dissemination using an overlay mesh

SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
SplitStream: high-bandwidth multicast in cooperative environments

SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
FAB: building distributed enterprise disk arrays from commodity components

ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems

Fingerprinting the datacenter: automated classification of performance crises

Proceedings of the 5th European conference on Computer systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bugs in complex distributed systems are often hard to find. Many bugs reflect discrepancies between a system's behavior and the programmer's assumptions about that behavior. Differences may be in correctness, in performance characteristics, or both. Our debugging framework, Pip, compares actual behavior with expected behavior and visualizes both. Pip consists of two tools to help reconcile assumptions and actual behavior: an automatic expectations checker and an interactive behavior-explorer GUI.