PPT-Predicting Execution Bottlenecks

in MapReduce Clusters Edward Bortnikov Ari Frank Eshcar Hillel Sriram Rao Presenting Alex Shraer Yahoo Labs The Map Reduce MR Paradigm Architecture for scalable information processing. huangintelcom Jinzhu Jia UC Berkeley jzjiastatberkeleyedu Bin Yu UC Berkeley binyustatberkeleyedu ByungGon Chun Intel Labs Berkeley byunggonchunintelcom Petros Maniatis Intel Labs Berkeley petrosmaniatisintelcom Mayur Naik Intel Labs Berkeley mayurna Epistemology: Decoding . History. Leah . Shopkow. with Arlene Diaz, Joan Middendorf, and David Pace. Bottlenecks reveal naïve ways of operating and point to what is not understood about the ways of operating in the discipline. We are calling for epistemology to be moved from the periphery to become the core of teaching—as central to teaching as it is to research. Azade. h Farzan . . Univ. of Toronto. P. Mad. husudan . Univ. of Illinois at Urbana Champaign. .. Motivation: . Interleaving explosion problem. Testing is the main technique for correctness in the industry. Amit Banerjee . Support Escalation Engineer. Microsoft Corporation. SQL . Server FAQ: . http://blogs.msdn.com/sqlserverfaq. . TroubleshootingSQL. : . http://troubleshootingsql.com. . Twitter: . @. banerjeeamit. Kevin Wallace, CSE504. 2010-04-28. 2. Problem. Attacker-facing code must be written to guard against all possible inputs. There are many execution paths; not a single one should lead to a vulnerability. for Realistic Memory Systems. Rustam Miftakhutdinov. Eiman. . Ebrahimi. Yale N. . Patt. V. f. Dynamic Voltage/Frequency Scaling. 2. Image source: intel.com. f. opt. Impact of Frequency Scaling. frequency. Peng. Sun. Minlan. Yu, Michael J. Freedman, Jennifer Rexford. Princeton University. August 19, 2011. Performance Bottlenecks. 2. CDN Servers. Internet. Clients. APP. Write too slowly. Server OS. Insufficient send buffer or . Prepared by. Clint Ward. Brigham Young University. A Brief Overview. OPT Defined. Optimized Production . T. echnology is a planning & production system focused on throughput maximization by alleviating bottlenecks. Facilitators’ Workshop on District Health Performance Improvement. Lilongwe, 25. th. – 27. th. March 2015. Steps. Diagnose. Select interventions. Define . indicators. Identify information . sources . Cristian. . Cadar. , Patrice . Godefroid. , . Sarfraz. . Khurshid. , . Corina. . Pasareanu. , . Koushik. . Sen. , Nikolai . Tillmann. , Willem . Visser. Overview. S. ymbolic execution and its variants. Chris Edmonston, AICP, FDOT. Paul Fang, FDOT. Innovative Methodology to Identify Congested Roadways and Bottlenecks. 15. th. . TRB National Transportation . Planning . Applications Conference. Introduction. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Model Applied to PGAS Computations. David . Ozog. *. , Allen . Malony. *. , Jeff Hammond. ‡. , . Pavan. . Balaji. † . * University . of . Oregon. ‡ . Intel . Corporation. † . Argonne . National .