Queueing theory

Processor sharing

Processor sharing or egalitarian processor sharing is a service policy where the customers, clients or jobs are all served simultaneously, each receiving an equal fraction of the service capacity available. In such a system all jobs start service immediately (there is no queueing). The processor sharing algorithm "emerged as an idealisation of round-robin scheduling algorithms in time-shared computer systems". (Wikipedia).

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What is the Sharing Economy?

In this video, you’ll learn more about the sharing economy. Visit https://www.gcflearnfree.org/using-the-web-to-get-stuff-done/what-is-the-sharing-economy/1/ for our text-based lesson. This video includes information on: • An explanation of the sharing economy • Examples of the sharing ec

From playlist The Sharing Economy

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Computer Basics: What Is a Computer?

Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0

From playlist Starting out with Technology

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The Sharing Economy

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist The Sharing Economy

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Computer Literacy - (unit 4) - the internet - 2 of 4

Forth unit of a series for newbie computer users. See http://proglit.com/computer-skills/ for additional information and material.

From playlist Computer Literacy - (unit 4) - the internet

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WebAssembly: The What, Why and How

WebAssembly is a portable, size, and load-time efficient binary format for the web. It is an emerging standard being developed in the WebAssembly community group, and supported by multiple browser vendors. This talk details what WebAssembly is, the problems it is trying to solve, exciting

From playlist Talks

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Lec 5 | MIT 6.189 Multicore Programming Primer, IAP 2007

Lecture 5: Parallel programming concepts License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.

From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007

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6. Multicore Programming

MIT 6.172 Performance Engineering of Software Systems, Fall 2018 Instructor: Julian Shun View the complete course: https://ocw.mit.edu/6-172F18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIBQVWguXxZZi0566y7Wf This lecture covers modern multi-core processors, the

From playlist MIT 6.172 Performance Engineering of Software Systems, Fall 2018

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Scalable Parallel Programming with CUDA on Manycore GPUs

February 27, 2008 lecture by John Nickolls for the Stanford University Computer Systems Colloquium (EE 380). John Nickolls from NVIDIA talks about scalable parallel programming with a new language developed by NVIDIA, CUDA. NVIDIA's programming of their graphics processing unit in para

From playlist Lecture Collection | Computer Systems Laboratory Colloquium (2007-2008)

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NOTACON 9: Collaboration. You keep using that word... (EN) | Enh. audio

Speaker: Angela Harms Sure. You collaborate every day at work, right? Except you don't. Because collaboration is not the same as cooperation. Cooperation is where everybody does their part. Collaboration creates a solution that's more than the sum of those parts. Cooperation helps us cho

From playlist Notacon 9

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Online Parallel Paging and Green Paging

Abstract: The parallel paging problem captures the task of efficiently sharing a cache among multiple parallel processors. Whereas the single-processor version of the problem has been well understood for decades, it has remained an open question how to find optimal algorithms for the multi

From playlist SIAG-ACDA Online Seminar Series

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Lec 3 | MIT 6.189 Multicore Programming Primer, IAP 2007

Lecture 3: Introduction to parallel architectures License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.

From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007

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Programming Languages - (part 1 of 7)

How source code becomes a running program, how languages are categorized, and a survey of important languages. Part of a larger series teaching programming. Visit http://codeschool.org

From playlist Programming Languages

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Hands-on Session: Clustered Many-core Computing with CPUs + GPUs, Part 2 - William Dorland

Hands-on Session: Clustered Many-core Computing with CPUs + GPUs, Part 2 William Dorland University of Maryland July 20, 2009

From playlist PiTP 2009

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Future Evolution of High-Performance Microprocessors

September 27, 2006 lecture by Norm Jouppi for the Stanford University Computer Systems Colloquium (EE 380). The evolution of high-performance microprocessors has recently gone through a significant inflection point; such issues will be discussed, as well as the likely future of high per

From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)

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Networking

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Networking

Related pages

Geometric distribution | Round-robin scheduling | M/G/1 queue | M/M/1 queue | Scheduling (computing)