PPT-Practical Performance Tuning
Author : pamella-moone | Published Date : 2016-08-02
For Your Progress OpenEdge Database A Few Words About The Speaker Tom Bascom Roaming DBA amp Progress User since 1987 President DBAppraise LLC Remote Database
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Practical Performance Tuning: Transcript
For Your Progress OpenEdge Database A Few Words About The Speaker Tom Bascom Roaming DBA amp Progress User since 1987 President DBAppraise LLC Remote Database Management Service. Paolo Romano. Based on ICAC’14 paper. N. . . Diegues. and Paolo Romano. Self-Tuning Intel Transactional Synchronization Extensions. 11. th . USENIX International Conference . on Autonomic Computing (. Performance Tuning. Overview. Performance tuning methodologies . Instance level. Database level. Application level. Overview of tools and techniques for performance analysis and tuning. Tuning Methodologies — Tuning While Building. Part 1: Scaling Up. Sander Temme <sander@temme.net>. 2. “Apache is a general webserver, which is designed to be correct first, and fast second. Even so, its performance is quite satisfactory. Most sites have less than 10Mbits of outgoing bandwidth, which Apache can fill using only a low end Pentium-based webserver.”. When and How to Improve Code Performance?. Ivaylo Bratoev. Telerik Corporation. www.telerik.com. Actual . vs. Perceived Performance. Example: . “Vista's file copy performance is noticeably worse than Windows XP” . ! "!# $#383 Chapter11:Tuning Performance by Tweaking Apache and Evolution - . CSSE 375. Code Tuning. Shawn . and Steve. Left. – Even tuning an ancient instrument like a violin involves multiple steps. Here is fine tuning, being done after coarse tuning has been accomplished using the pegs on the other end.. Anil . Desai. http://AnilDesai.net. Austin . CodeCamp. 2010. Anil Desai. Independent consultant (Austin, TX). Author of . numerous IT books. Instructor. , “Implementing and Managing SQL Server 2005” (Keystone Learning). Kadin Tseng. Boston University. Scientific Computing and Visualization. Serial Performance gain. Due to memory access. Due to caching. Due to vector . representations. Due to compiler. Due to other . RED. for Web Traffic. Mikkel Christiansen, Kevin Jeffay,. David Ott, Donelson Smith. UNC, Chapel Hill. SIGCOMM 2000, Stockholm. subsequently. IEEE/ACM Transactions on Networking. Vol. 9 , No. 3 (June 2001) pp 249 – 264.. Kadin Tseng. Boston University. Scientific Computing and Visualization. Log on with your BU userid and Kerboros . password . If you don’t have BU userid, then use this:. userid: . tuta1 . . . tuta18 . Expectations of the practical activities. Practical 30 or 35. Practical – moderation day. PEP. Agenda. Overview of new . specification. Components. Content. Assessment. Component 1. : Fitness and Body Systems. Worcester Polytechnic Institute. mcneill@ece.wpi.edu. Overview. Functional. Block Concept. Oscillator Review. Basic Performance Metrics. Methods of Tuning. Advanced Performance Metrics. Conclusion. 2. by . Auto-tuning. the Managed Java Back-end . Vimuth. Fernando, . Milinda. Fernando, . Tharindu. . Rusira. , . Sanath. . Jayasena. Department of Computer Science and Engineering . University of . regarded in Australia for his tuning mastery, Eric has been evolving the performance of vehicles for over 15 years. He was passionate about cars from a very early age, and had an innate curiosity to
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