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Handbook of Scheduling: Algorithms, Models, and Performance Analysis

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TLDR
This book discusses Real-Time Scheduling Problems, Scheduling Models, Stochastic Scheduling, and Online Deterministic Scheduling as well as some basic Scheduling Algorithms and Complexity.
Abstract
Introduction Introduction and Notation, Joseph Y-T. Leung A Tutorial on Complexity, Joseph Y-T. Leung Some Basic Scheduling Algorithms, Joseph Y-T. Leung Classical Scheduling Problems Elimination Rules for Job-shop Scheduling Problem: Overview and Extensions, Jacques Carlier, Laurent Peridy, Eric Pinson, and David Rivreau Flexible Hybrid Flowshops, George Vairaktarakis Open Shop Scheduling, Teofilo F. Gonzalez Cycle Shop Scheduling, Vadim G. Timkovsky Reducibility among Scheduling Classes, Vadim G. Timkovsky Parallel Scheduling for Early Completion, Bo Chen Minimizing the Maximum Lateness, Hans Kellerer Approximation Algorithms for Minimizing Average Weighted Completion Time, Chandra Chekuri and Sanjeev Khanna Minimizing the Number of Tardy Jobs, Marjan van den Akker and Han Hoogeveen Branch-and-Bound Algorithms for Total Weighted Tardiness, Antoino Jouglet, Philippe Baptiste, and Jacques Carlier Scheduling Equal Processing Time Jobs, Philippe Baptiste and Peter Brucker Online Scheduling, Kirk Pruhs, Jiri Sgall, and Eric Torng Convex Quadratic Relaxations in Scheduling, Jay Sethuraman Other Scheduling Models The Master/Slave Scheduling Model, Sartaj Sahni and George Vairaktarakis Scheduling in Bluetooth Networks, Yong Man Kim and Ten H. Lai Fair Sequences, Wieslaw Kubiak Due-Date Quotation Models and Algorithms, Philip Kaminsky and Dorit Hochbaum Scheduling with Due-Date Assignment, Valery S. Gordon, Jean-Marie Proth, and Vitaly A. Strusevich Machine Scheduling with Availability Constraints, Chung-Yee Lee Scheduling with Discrete Resource Constraints, J. B_lazewicz, N. Brauner, and G. Finke Scheduling with Resource Constraints-Continuous Resources, Joanna J'ozefowska and Jan Weglarz Scheduling Parallel Tasks-Algorithms and Complexity, M. Drozdowski Scheduling Parallel Tasks Approximation Algorithms, Pierre-Franc' ois Dutot, Gr'egory Mouni'e, and Denis Trystram Real-Time Scheduling The Pinwheel: A Real-Time Scheduling Problem, Deji Chen and Aloysivs Mok Scheduling Real-Time Tasks: Algorithms and Complexity, Sanjay Baruah and Joael Goossens Real Time Synchronization Protocols, Lui Sha and Marco Caccamo Fair Scheduling of Real-Time Tasks on Multiprocessors, James Anderson, Philip Holman, and Anand Srinivasan A Categorization of Real-Time Multiprocessor Scheduling Problems and Algorithms, John Carpenter, Shelby Funk, Philip Holman, Anand Srinivasan, James Anderson, and Sanjoy Baruah Approximation Algorithms for Scheduling Time-Critical Jobs on Multiprocessor System, Sudarshan K. Dhall Scheduling Overloaded Real-Time Systems with Competitive/Worst Case Guarantees, Gilad Koren and Dennis Shasha Minimizing TotalWeighted Error for Imprecise Computation Tasks and Related Problems, Joseph Y-T. Leung Dual Criteria Optimization Problems for Imprecise Computation Tasks, Kevin I-J Ho Periodic Reward-Based Scheduling and Its Application to Power-Aware Real-Time Systems, Hakan Aydin, Rami Melhem, and Daniel Mosse Routing Real-Time Messages on Networks, G. Young Stochastic Scheduling and Queueing Networks Offline Deterministic Scheduling, Stochastic Scheduling, and Online Deterministic Scheduling: A Comparative Overview, Michael Pinedo Stochastic Scheduling with Earliness and Tardiness Penalties, Xiaoqiang Cai and Xian Zhou Developments in Queueing Networks with Tractable Solutions, Xiuli Chao Scheduling in Secondary Storage Systems, Alexander Thomasian Selfish Routing on the Internet, Artur Czumaj Applications Scheduling of Flexible Resources in Professional Service Firms, Yalcin Akcay, Anantaram Balakrishnan, and Susan H. Xu Novel Metaheuristic Approaches to Nurse Rostering Problems in Belgian Hospitals, Edmund Kieran Burke, Patrick De Causmaecker and Greet Vanden Berghe University Timetabling, Sanja Petrovic and Edmund Burke Adapting the GATES Architecture to Scheduling Faculty, R. P. Brazile and K. M. Swigger Constraint Programming for Scheduling, John J. Kanet, Sanjay L. Ahire, and Michael F. Gorman Batch Production Scheduling in the Process Industries, Karsten Gentner, Klaus Neumann, Christoph Schwindt, and Norbert Trautmann A Composite Very-Large-Scale Neighborhood Search Algorithm for the Vehicle Routing Problem, Richa Agarwal, Ravinder K. Ahuja, Gilbert Laporte, and Zuo-Jun "Max" Shen Scheduling Problems in the Airline Industry, Xiangtong Qi, Jian Yang and Gang Yu Bus and Train Driver Scheduling, Raymond S. K. Kwan Sports Scheduling, Kelly Easton, George Nemhauser, and Michael Trick Index

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A Taxonomy of Polynomially Solvable Shop Problems with Limited Number of Machines or Jobs

TL;DR: In this article, the authors present a table of contents for KnowLEDGEMENT and a list of FIGURES for each of the following categories: Table of Contents v Table of Contents v List OF TABLES viii List OF FIGURES ix CHAPTER
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A Comparative Analysis of Accurate and Robust Bi-objective Scheduling Heuristics for Datacenters

TL;DR: This article presents and evaluates twenty-four novel bi-objective efficient heuristics for the simultaneous optimization of makespan and robustness in the context of the static robust tasks mapping problem for datacenters.

Scheduling for Service Stability and Supply Chain Coordination

TL;DR: The scheduling conflicts are measured and analyzed from different perspectives of decision makers, and cooperation mechanisms are proposed based on different scenarios of the relative bargaining power among decision makers.
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Universal and Tight Online Algorithms for Generalized-Mean Welfare

TL;DR: In this paper , a fair and efficient allocation of divisible goods, in an online manner, among n agents, is studied, where the goods arrive online in a sequence of T time periods.
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Multiagent-Based Approach for Risk Analysis in Mission Capability Planning

TL;DR: In this article, a multi-agent-based approach for risk analysis in military capability planning is proposed, which uses metaheuristic techniques such as evolutionary algorithms to deal with multi-objectivity of a class of NP-hard resource investment problems, called the mission capability planning problem (MCPP).