Optimal scheduling

Single-machine scheduling

Single-machine scheduling or single-resource scheduling is an optimization problem in computer science and operations research. We are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on a single machine, in a way that optimizes a certain objective, such as the throughput. Single-machine scheduling is a special case of identical-machines scheduling, which is itself a special case of optimal job scheduling. Many problems, which are NP-hard in general, can be solved in polynomial time in the single-machine case. In the standard three-field notation for optimal job scheduling problems, the single-machine variant is denoted by 1 in the first field. For example, " 1||" is an identical machine scheduling problem with no constraints, where the goal is to minimize the sum of completion times. (Wikipedia).

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Scheduling: The List Processing Algorithm Part 1

This lesson explains and provides an example of the list processing algorithm to make a schedule given a priority list. Site: http://mathispower4u.com

From playlist Scheduling

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Scheduling: The List Processing Algorithm Part 2

This lesson explains and provides an example of the list processing algorithm to create a digraph and make a schedule. Site: http://mathispower4u.com

From playlist Scheduling

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Process Scheduling

An animation showing the main features of a process scheduling system including the ready queue, blocked queue, high level scheduler and low level scheduler. It explains the principle of a round robin scheduling algorithm.

From playlist Operating Systems

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Into to the Mathematics of Scheduling

Terminology explained includes preference schedule, digraphs, tasks, arcs, processors, and timelines.

From playlist Discrete Math

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Introduction to Scheduling

This lesson introduces the topic of scheduling and define basic scheduling vocabulary. Site: http://mathispower4u.com

From playlist Scheduling

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How to operate multiple operations with Multi-Digit Numbers!

Division Coming in the future if people want it enough

From playlist Summer of Math Exposition Youtube Videos

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What is Job Scheduling | Error Hamdling Concept | Data Warehousing Tutorial | Edureka

***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** The allocation of system resources to various tasks, known as job scheduling, is a major assignment of the operating system. The system maintains prioritized queues of jobs waiting for CPU time and

From playlist Data Warehousing Tutorial Videos

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Scheduling: The Decreasing Time Algorithm

This lesson explains how to use the decreasing time algorithm to create a priority list and then a schedule. Site: http://mathispower4u.com

From playlist Scheduling

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Jannik Matuschke: Generalized Malleable Scheduling via Discrete Convexity

In malleable scheduling, jobs can b e executed simultaneously on multiple machines with the prcessing time depending on the numb er of allocated machines. Each job is required to be executed non-preemptively and in unison, i.e., it has to occupy the same time interval on all its allocated

From playlist Workshop: Approximation and Relaxation

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Sarah Morell: Single Source Unsplittable Flows with Arc-Wise Lower and Upper Bounds

In a digraph with a source and several destination nodes with associated demands, an unsplittable flow routes each demand along a single path from the common source to its destination. Given some flow x that is not necessarily unsplittable but satisfies all demands, we ask for an unsplitta

From playlist Workshop: Approximation and Relaxation

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Hadoop Interview Questions And Answers Part-1 | Big Data Interview Questions & Answers | Simplilearn

This video on Hadoop interview questions part-1 will take you through the general Hadoop questions and questions on HDFS, MapReduce and YARN, which are very likely to be asked in any Hadoop interview. It covers all the topics on the major components of Hadoop. This Hadoop tutorial will giv

From playlist Interview Questions And Answers | Simplilearn🔥[2022 Updated]

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Containers and Microservices: New Ways to Deploy and Manage Applications at Scale - Jake Moshenko

In this video from Software Architecture Conference 2016, Jake Moshenko talks about new ways to deploy and manage applications at scale. More details about the Software Architecture Conference 2016, as well as more free keynotes, can be found at http://oreil.ly/2aeoaRP Subscribe to O'Re

From playlist Microservices

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Louis-Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery

Recorded 01 March 2023. Louis-Martin Rousseau of École Polytechnique de Montréal presents "Combining Machine Learning and Optimization for efficient healthcare delivery" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Learn more online at: http://www.ipam.ucla.edu/pro

From playlist 2023 Artificial Intelligence and Discrete Optimization

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Lec 14 | MIT 6.035 Computer Language Engineering, Fall 2005

Instruction Scheduling View the complete course: http://ocw.mit.edu/6-035F05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.035 Computer Language Engineering, Fall 2005

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AQC 2016 - What is the Computational Value of Finite Range Tunneling?

A Google TechTalk, June 27, 2016, presented by Vasil Denchev (Google) ABSTRACT: Quantum annealing (QA) has been proposed as a quantum enhanced optimization heuristic exploiting tunneling. Here, we demonstrate how finite range tunneling can provide considerable computational advantage. For

From playlist Adiabatic Quantum Computing Conference 2016

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OpenStack Nova Tutorial | OpenStack Nova Computing Service | Edureka | OpenStack Live - 2

🔥Edureka OpenStack Certification Training: https://www.edureka.co/open-stack This Edureka video on "OpenStack Nova Tutorial" talks about Nova which is a software component in OpenStack cloud, that offers and manages virtual machines 🔴Subscribe to our channel to get video updates. Hit the

From playlist Edureka Live Classes 2020

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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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11_3_6 Continuity and Differentiablility

Prerequisites for continuity. What criteria need to be fulfilled to call a multivariable function continuous.

From playlist Advanced Calculus / Multivariable Calculus

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Stream Computing

November 1, 2006 lecture by William Dally for the Stanford University Computer Systems Colloquium (EE 380). A discussion about the exploration of parallelism and locality with examples drawn from the Imagine and Merrimac projects and from three generations of stream programming systems.

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

Related pages

Knapsack problem | Optimal job scheduling | Tardiness (scheduling) | Tabu search | Identical-machines scheduling | Neural network | Simulated annealing | Optimization problem | Lawler's algorithm | Interval scheduling | Genetic algorithm