milliScope: A Fine-Grained Monitoring Framework for Performance Debugging of n-Tier Web Services
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Calton Pu | Qingyang Wang | Tao Zhu | Chien-An Lai | Josh Kimball | C. Pu | Chien-An Lai | Qingyang Wang | Joshua Kimball | T. Zhu
[1] Philip Levis,et al. Usenix Association 8th Usenix Symposium on Operating Systems Design and Implementation 323 Quanto: Tracking Energy in Networked Embedded Systems , 2022 .
[2] Gregory R. Ganger,et al. Diagnosing Performance Changes by Comparing Request Flows , 2011, NSDI.
[3] Takayuki Osogami,et al. Optimizing system configurations quickly by guessing at the performance , 2007, SIGMETRICS '07.
[4] Massoud Pedram,et al. Fine-grained dynamic voltage and frequency scaling for precise energy and performance trade-off based on the ratio of off-chip access to on-chip computation times , 2004, Proceedings Design, Automation and Test in Europe Conference and Exhibition.
[5] Calton Pu,et al. Limitations of Load Balancing Mechanisms for N-Tier Systems in the Presence of Millibottlenecks , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).
[6] Hector Garcia-Molina,et al. Main Memory Database Systems: An Overview , 1992, IEEE Trans. Knowl. Data Eng..
[7] Luiz André Barroso,et al. The tail at scale , 2013, CACM.
[8] Mukund Raghavachari,et al. The deployer's problem: configuring application servers for performance and reliability , 2003, 25th International Conference on Software Engineering, 2003. Proceedings..
[9] E. F. Codd. Relational database: a practical foundation for productivity , 2007 .
[10] Wilson C. Hsieh,et al. Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.
[11] David E. Culler,et al. SEDA: an architecture for well-conditioned, scalable internet services , 2001, SOSP.
[12] Rajeev Gandhi,et al. Draco: Statistical diagnosis of chronic problems in large distributed systems , 2012, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012).
[13] GhemawatSanjay,et al. The Google file system , 2003 .
[14] Anja Feldmann,et al. C3: Cutting Tail Latency in Cloud Data Stores via Adaptive Replica Selection , 2015, NSDI.
[15] Frank Bellosa,et al. Resource-conscious scheduling for energy efficiency on multicore processors , 2010, EuroSys '10.
[16] Daniela Florescu,et al. Rethinking cost and performance of database systems , 2009, SGMD.
[17] Carl A. Waldspurger,et al. Memory resource management in VMware ESX server , 2002, OSDI '02.
[18] Barton P. Miller,et al. The Paradyn Parallel Performance Measurement Tool , 1995, Computer.
[19] Gregory R. Ganger,et al. Ursa minor: versatile cluster-based storage , 2005, FAST'05.
[20] Alan L. Cox,et al. Whodunit: transactional profiling for multi-tier applications , 2007, EuroSys '07.
[21] Calton Pu,et al. Lightning in the Cloud: A Study of Transient Bottlenecks on n-Tier Web Application Performance , 2014, TRIOS.
[22] David C. Snowdon,et al. Koala: a platform for OS-level power management , 2009, EuroSys '09.
[23] Wei Zheng,et al. Automatic configuration of internet services , 2007, EuroSys '07.
[24] Michael I. Jordan,et al. Characterizing, modeling, and generating workload spikes for stateful services , 2010, SoCC '10.
[25] Randy H. Katz,et al. X-Trace: A Pervasive Network Tracing Framework , 2007, NSDI.
[26] Jayant R. Haritsa,et al. Commit processing in distributed real-time database systems , 1996, 17th IEEE Real-Time Systems Symposium.
[27] Michael I. Jordan,et al. Detecting large-scale system problems by mining console logs , 2009, SOSP '09.
[28] Calton Pu,et al. Detecting Transient Bottlenecks in n-Tier Applications through Fine-Grained Analysis , 2013, 2013 IEEE 33rd International Conference on Distributed Computing Systems.
[29] Evgenia Smirni,et al. Injecting realistic burstiness to a traditional client-server benchmark , 2009, ICAC '09.
[30] Albert G. Greenberg,et al. Data center TCP (DCTCP) , 2010, SIGCOMM '10.
[31] Amin Vahdat,et al. Pip: Detecting the Unexpected in Distributed Systems , 2006, NSDI.
[32] Donald Beaver,et al. Dapper, a Large-Scale Distributed Systems Tracing Infrastructure , 2010 .
[33] Feng Pan,et al. Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications , 2007, IEEE Transactions on Parallel and Distributed Systems.
[34] Thomas F. Wenisch,et al. The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services , 2014, OSDI.
[35] Margaret Martonosi,et al. Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management , 2006, 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06).
[36] Matthew Denny,et al. Nodose version 2.0 , 1999, SIGMOD '99.
[37] Karl Aberer,et al. Configuration of distributed message converter systems , 2004, Perform. Evaluation.
[38] Randy H. Katz,et al. A view of cloud computing , 2010, CACM.
[39] Christoforos E. Kozyrakis,et al. Improving Resource Efficiency at Scale with Heracles , 2016, ACM Trans. Comput. Syst..
[40] Ming Zhong,et al. I/O system performance debugging using model-driven anomaly characterization , 2005, FAST'05.
[41] Christoforos E. Kozyrakis,et al. Reconciling high server utilization and sub-millisecond quality-of-service , 2014, EuroSys '14.
[42] Bryan Cantrill,et al. Dynamic Instrumentation of Production Systems , 2004, USENIX Annual Technical Conference, General Track.
[43] Joseph L. Hellerstein,et al. ETE: a customizable approach to measuring end-to-end response times and their components in distributed systems , 1999, Proceedings. 19th IEEE International Conference on Distributed Computing Systems (Cat. No.99CB37003).
[44] Richard Mortier,et al. Using Magpie for Request Extraction and Workload Modelling , 2004, OSDI.
[45] Peter M. Chen,et al. Free transactions with Rio Vista , 1997, SOSP.
[46] Calton Pu,et al. When average is not average: large response time fluctuations in n-tier systems , 2012, ICAC '12.
[47] Yixin Diao,et al. Using MIMO feedback control to enforce policies for interrelated metrics with application to the Apache Web server , 2002, NOMS 2002. IEEE/IFIP Network Operations and Management Symposium. ' Management Solutions for the New Communications World'(Cat. No.02CH37327).
[48] Michael J. Freedman,et al. Experiences with Tracing Causality in Networked Services , 2010, INM/WREN.
[49] Jialin Li,et al. Tales of the Tail: Hardware, OS, and Application-level Sources of Tail Latency , 2014, SoCC.
[50] Yale N. Patt,et al. Predicting Performance Impact of DVFS for Realistic Memory Systems , 2012, 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture.
[51] Tobias Dönz. Extracting Structured Data from Web Pages , 2003 .
[52] Calton Pu,et al. The Impact of Soft Resource Allocation on n-Tier Application Scalability , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.
[53] Calton Pu,et al. An Experimental Study of Rapidly Alternating Bottlenecks in n-Tier Applications , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.
[54] David R. Cheriton,et al. Comparing the performance of web server architectures , 2007, EuroSys '07.
[55] Jeffrey C. Mogul,et al. Emergent (mis)behavior vs. complex software systems , 2006, EuroSys.
[56] David A. Patterson,et al. Latency lags bandwith , 2004, CACM.
[57] Amin Vahdat,et al. Chronos: predictable low latency for data center applications , 2012, SoCC '12.
[58] Ron Kohavi,et al. Online Experiments: Lessons Learned , 2007, Computer.
[59] Amin Vahdat,et al. Less Is More: Trading a Little Bandwidth for Ultra-Low Latency in the Data Center , 2012, NSDI.
[60] Calton Pu,et al. IO Performance Interference among Consolidated n-Tier Applications: Sharing Is Better Than Isolation for Disks , 2014, 2014 IEEE 7th International Conference on Cloud Computing.
[61] George Varghese,et al. Difference engine , 2010, OSDI.
[62] Calton Pu,et al. Lightning in the cloud: a study of very short bottlenecks on n-tierweb application performance , 2014 .
[63] Calton Pu,et al. Performance Interference of Memory Thrashing in Virtualized Cloud Environments: A Study of Consolidated n-Tier Applications , 2016, 2016 IEEE 9th International Conference on Cloud Computing (CLOUD).
[64] Julio César López-Hernández,et al. Stardust: tracking activity in a distributed storage system , 2006, SIGMETRICS '06/Performance '06.
[65] Jason Nieh,et al. Understanding the management of client perceived response time , 2006, SIGMETRICS '06/Performance '06.
[66] Mendel Rosenblum,et al. It's Time for Low Latency , 2011, HotOS.
[67] Hwanju Kim,et al. TPC: Target-Driven Parallelism Combining Prediction and Correction to Reduce Tail Latency in Interactive Services , 2016, ASPLOS.
[68] Chun Zhang,et al. vPath: Precise Discovery of Request Processing Paths from Black-Box Observations of Thread and Network Activities , 2009, USENIX Annual Technical Conference.
[69] Calton Pu,et al. A Study of Long-Tail Latency in n-Tier Systems: RPC vs. Asynchronous Invocations , 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).
[70] Jordi Torres,et al. Understanding tuning complexity in multithreaded and hybrid web servers , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.
[71] Brian D. Noble,et al. Bobtail: Avoiding Long Tails in the Cloud , 2013, NSDI.
[72] Lui Sha,et al. Online response time optimization of Apache web server , 2003, IWQoS'03.
[73] David A. Patterson,et al. Path-Based Failure and Evolution Management , 2004, NSDI.
[74] Qingyang Wang,et al. A study of transient bottlenecks: understanding and reducing latency long-tail problem in n-tier web applications , 2014 .
[75] Yu Luo,et al. lprof: A Non-intrusive Request Flow Profiler for Distributed Systems , 2014, OSDI.
[76] Calton Pu,et al. Impact of DVFS on n-tier application performance , 2013, TRIOS@SOSP.
[77] David J. DeWitt,et al. Parallel database systems: the future of high performance database systems , 1992, CACM.
[78] Satish Narayanasamy,et al. DoublePlay: parallelizing sequential logging and replay , 2011, ASPLOS XVI.
[79] Rodrigo Fonseca,et al. Pivot tracing , 2018, USENIX ATC.
[80] Jae-Myung Kim,et al. A case for flash memory ssd in enterprise database applications , 2008, SIGMOD Conference.
[81] Eric A. Brewer,et al. USENIX Association Proceedings of HotOS IX : The 9 th Workshop on Hot Topics in Operating Systems , 2003 .