Pinpoint: Problem Determination in Large, Dynamic Internet Services
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
A Toolkit for User-Level File Systems
Proceedings of the General Track: 2002 USENIX Annual Technical Conference
Performance debugging for distributed systems of black boxes
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
TraceBack: first fault diagnosis by reconstruction of distributed control flow
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
WAP5: black-box performance debugging for wide-area systems
Proceedings of the 15th international conference on World Wide Web
Stardust: tracking activity in a distributed storage system
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
Using magpie for request extraction and workload modelling
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Pip: detecting the unexpected in distributed systems
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
Flash: an efficient and portable web server
ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
Analyzing intrusions using operating system level information flow
Analyzing intrusions using operating system level information flow
Whodunit: transactional profiling for multi-tier applications
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
X-trace: a pervasive network tracing framework
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Mochi: visual log-analysis based tools for debugging hadoop
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
Experiences with tracing causality in networked services
INM/WREN'10 Proceedings of the 2010 internet network management conference on Research on enterprise networking
Online event correlations analysis in system logs of large-scale cluster systems
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
Recognizing patterns in streams with imprecise timestamps
Proceedings of the VLDB Endowment
What is my program doing? program dynamics in programmer's terms
RV'11 Proceedings of the Second international conference on Runtime verification
An online service-oriented performance profiling tool for cloud computing systems
Frontiers of Computer Science: Selected Publications from Chinese Universities
Recognizing patterns in streams with imprecise timestamps
Information Systems
NetCheck: network diagnoses from blackbox traces
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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Causal request traces are valuable to developers of large concurrent and distributed applications, yet difficult to obtain. Traces show how a request is processed, and can be analyzed by tools to detect performance or correctness errors and anomalous behavior. We present BorderPatrol, which obtains precise request traces through suystems built from a litany of unmodified modules. Traced components include Apache, thttpd, PostgreSQL, TurboGears, BIND and notably Zeus, a closed-source event-driven web server. BorderPatrol obtains traces using active observation which carefully modifies the event stream observed by modules, simplifying precise observation. Protocol processors leverage knowledge about standard protocols, avoiding application-specific instrumentation. BorderPatrol obtains precise traces for black-box systems that cannot be traced by any other technique. We confirm the accuracy of BorderPatrol's traces by comparing to manual instrumentation, and compare the developer effort required for each kind of trace. BorderPatrol imposes limited overhead on real systems (approximately 10-15%) and it may be enabled or disabled in at run-time, making it a viable option for deployment in production environments.