CCH06CPUscheduling操作系统.ppt,Module 6: CPU Scheduling Basic Concepts (基本概念) Scheduling Criteria (调度准则) Scheduling Algorithms (调度算法) Multiple-Processor Scheduling (多处理器调度) Real-Time Scheduling (实时调度) Algorithm Evaluation
1、Module 6: CPU Scheduling,Basic Concepts (基本概念) Scheduling Criteria (调度准则) Scheduling Algorithms (调度算法) Multiple-Processor Scheduling (多处理器调度) Real-Time Scheduling (实时调度) Algorithm Evaluation (算法评估),Basic Concepts,Maximum CPU utilization obtained with multiprogramming (通过多...
操作系统 Operating Systems-ch5 CPU Scheduling PPT精品课件 Chapter5:CPUScheduling OperatingSystemConcepts–10thEdition Silberschatz,GalvinandGagne©2018 Chapter5:CPUScheduling BasicConceptsSchedulingCriteriaSchedulingAlgorithmsThreadSchedulingMulti-ProcessorSchedulingReal-TimeCPUScheduling...
Chapter2–Scheduling ZhangYangFall2010 Contentofthislecture WhatisScheduling?ClassificationofSchedulingActivityProcessBehaviorWhentoSchedule?SchedulingAlgorithms WhatisScheduling? Decidingwhichprocess/threadshouldoccupytheresource(CPU,disk,etc)(CPU(horsepower))Iwanttorideit Whoseturnisit?Process1...
Non-Preemptive Scheduling (Cont.) Non-idle Algorithm: a scheduling algorithm that does not permit the processor to be idle when there are active jobs When arrival times are not known a priori and non-idle scheduling algorithms are allowed EDF is still optimal in a non-preemptive task model ...
04-real-time-scheduling Real-TimeScheduling Traditional&CompositionalSchedulingFramework InsikShin 15April2004 CIS640 1 Outline •Real-timesystems•Real-timeschedulingtheory –Traditionalschedulingframework–Compositionalschedulingframework 15April2004 CIS640 2 Real-TimeSystems •Definition –Systemswhose...
5.3SchedulingAlgorithms 5.4Multiple-ProcessorScheduling 5.5ThreadScheduling 5.6OperatingSystemsExamples 5.7AlgorithmEvaluation45.1BasicConcepts Theobjectiveofmulti-programmingistohavesomeprocessrunningatalltimes,tomaximizeCPUutilization Severalprocessesarekeptinmemoryatonetime Whenarunningprocesshastowait,theOStakestheCPU...
The results of the experiment via simulation shows that their proposed algorithms can maintain the diversity and the distribution of Pareto-optimal solutions in cloud tasks scheduling under the same population size and evolution generation than the comparison algorithm. However, long computation time is ...
SCHEDULING ALGORITHMS In this section we will describe the scheduling algorithm LexAS (Lexicographic Allocation of Service) for fair lexicographic scheduling. Given the value of CA(t ? 1), the scheduler ?nds a work conserving schedule such that CA(t) is the lexicographically minimum vector. A ...
shorter processes over older, longer processes. • Leaves I/O-bound processes at higher queues • An issue: possible starvation for long processes – If new short processes continuously enters the OS. • Different time quantum (time slice) values in different ready queues. – 2 i msec, ...