PPT-Network Tuning for Specific Workloads

Gabriel Silva Don Stanwyck DCIMB344 Terminology and Basic Architecture NIC Features for Networking Agenda Lets first cover some terminology Processor One physical processor which can consist of one or more nodes A physical processor is the same as a package a socket or a CPU. 49 BelAir 103 Levis Qc Canada G6V 6K9 mrueltopcontrolcom Keywords Process Control Optimization Oscilla tion Model PID Control Closed L oop Open Loop Stiction Backlash Non linearity Pseudorandombinary Sequence Generalized Binary Noise ABSTRACT Tradit of the MULTIPROGRAMMING LEVEL in . Sybase . SQL Anywhere. Mohammed . Abouzour. , Kenneth . Salem. , Peter . Bumbulis. Presentation by Mohammed . Abouzour. SMDB2010. Introduction to Problem. Database servers have two main architectures:. Performance Tuning of Latency Sensitive Workloads in vSphere VMs TECHNICAL WHITE PAPE R TECHNICAL WHITE PAPE Best Practices for Performance Tuning of Latency - Sensitive Workloads in vSphere Vir in . Data Analytics . F. rameworks. Kay Ousterhout, Ryan . Rasti. , Sylvia . Ratnasamy. , Scott . Shenker. , . Byung-Gon. Chun. Large-scale data analytics has become widespread. More resource-efficient. in . Data Analytics . F. rameworks. Kay Ousterhout. Joint work with Ryan . Rasti. , Sylvia . Ratnasamy. , Scott . Shenker. , . Byung-Gon. Chun. UC Berkeley. About Me. PhD student at UC Berkeley. Thesis work centers around performance of large-scale distributed systems. CMOS. Advisor: Dr. . Adit D. Singh. Committee members: Dr. . Vishwani. D. . Agrawal. and Dr. . . Victor P. Nelson. Department of Electrical and Computer Engineering. Masters P. roject . D. efense . Libreville 2013. The Tuning Project: A global movement. ‘The Tuning . Project. ’ has become . an international movement that is currently spreading across the globe. . The . Tuning experience was exclusively . 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.. Trent Steele. Southeast Region. Sr. Systems Engineer. (336) 482-5725. trent.steele@tintri.com. www.thevbox.net. . @. thevbox. . The Business. IT…What are we here for? . What drives your business? . Networking . Perspective:. Congestion and Scalability in . Many. -Core . Interconnects. George Nychis. ✝. , Chris . Fallin. ✝. , . Thomas . Moscibroda. ★. , . Onur. . Mutlu. ✝, . Srinivasan. Networking . Perspective:. Congestion and Scalability in . Many. -Core . Interconnects. George Nychis. ✝. , Chris . Fallin. ✝. , . Thomas . Moscibroda. ★. , . Onur. . Mutlu. ✝, . Srinivasan. in . Data Analytics . F. rameworks. Kay Ousterhout. Joint work with Ryan . Rasti. , Sylvia . Ratnasamy. , Scott . Shenker. , . Byung-Gon. Chun. UC Berkeley. About Me. PhD student at UC Berkeley. Thesis work centers around performance of large-scale distributed systems. John H. . Yopp. , PhD. Strategic Partnerships, Tuning USA. David W. Marshall, PhD. Associate Director, Tuning USA. Presentation Goals. Discuss how the unique . f. eatures of U.S. higher education versus other national educational . The Tuning Process. Benefits of Tuning. Why Tuning is Different. What is Tuning?. A collaborative, faculty-driven . process that . “harmonizes” curricula around defining what a . student should know and be able to do in a chosen .