OS Chapter 5
2015-10-29 20:03:28   0  举报             
     
         
 AI智能生成
  第五章探讨了操作系统的基本概念和功能。首先,它解释了操作系统作为计算机硬件和用户之间的中介的作用。操作系统负责管理和控制计算机的硬件资源,如处理器、内存和存储设备,以确保它们被有效地利用。此外,操作系统还提供了一组服务,使用户能够执行各种任务,如文件管理、内存分配和进程调度。  本章还介绍了操作系统的主要组成部分,包括内核、设备驱动程序、文件系统和用户界面。内核是操作系统的核心部分,负责管理系统资源和提供基本的服务。设备驱动程序允许操作系统与各种硬件设备进行通信。文件系统则负责组织和管理存储在计算机上的数据。最后,用户界面使用户能够与操作系统进行交互,通过命令行或图形界面执行任务。
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  basic concept    
     CPU-I/O BurstCycle  
     CPU Scheduler    
     Selects from among the processes in ready queue, and allocates the CPU to one of them
  
     Queue may be ordered in various ways
  
     Preemptive Scheduling    
     CPU scheduling decisions may take place when a process:
    
     Switches from running to waiting state
  
     Switches from running to ready state
  
     Switches from waiting to ready
  
     Terminates
  
     Scheduling under 1 and 4 is nonpreemptive
  
     All other scheduling is preemptive
  
     Dispatcher:Dispatcher module gives control of the CPU to the process selected by the short-term scheduler    
     Switching context  
     Switching to user mode  
     jumping to the proper location in the user program to restart that program
  
     Dispatch latency – time it takes for the dispatcher to stop one process and start another running
  
     Scheduling Criteria    
     CPU utilization – keep the CPU as busy as possible
  
     Throughput – # of processes that complete their execution per time unit
  
     Turnaround time – amount of time to execute a particular process
  
     Waiting time – amount of time a process has been waiting in the ready queue
  
     Response time – amount of time it takes from when a request was submitted until the first response is produced, not output  (for time-sharing environment)
  
     Optimization Criteria    
     Max CPU utilization
  
     Max throughput
  
     Min turnaround time 
  
     Min waiting time 
  
     Min response time
  
     Scheduling Algorithm     
     First-Come, First-Served (FCFS) Scheduling【nonpreemtion】    
     Process	Burst Time
		 P1         24
		 P2         3
		 P3         3 
  
     Waiting time for P1  = 0; P2  = 24; P3 = 27
  
     Average waiting time:  (0 + 24 + 27)/3 = 17
  
     Convoy effect - short process behind long process
Consider one CPU-bound and many I/O-bound processes
  
     Shortest-Job-First (SJF) Scheduling    
     Associate with each process the length of its next CPU burst
Use these lengths to schedule the process with the shortest time
  
     SJF is optimal – gives minimum average waiting time for a given set of processes
The difficulty is knowing the length of the next CPU request
Could ask the user
  
     Example of Shortest job first    
     Process  Burst Time
		 		P1            6
				P2           		8
		 		P3           		7
		 		P4           		3
  
     Average waiting time = (3 + 16 + 9 + 0) / 4 = 7
  
     Determining Length of Next CPU Burst    
     Can only estimate the length – should be similar to the previous one
Then pick process with shortest predicted next CPU burst
  
     tn+1 = a tn +(1-a)tn  
     Example of Sortest remaining time first    
     ProcessA  Arrival Time  Burst Time
		 	P1	         	         0	                8
			P2                   		1                4
		 	P3	                  	2	                9
		 	P4	                  	3         	       5
  
     Average waiting time = [(10-1)+(1-1)+(17-2)+5-3)]/4 = 26/4 = 6.5 msec
  
     Priority Scheduling    
     A priority number (integer) is associated with each process
  
     The CPU is allocated to the process with the highest priority (smallest integer  highest priority)
Preemptive
Nonpreemptive
  
     
Problem  Starvation – low priority processes may never execute
  
     Solution  Aging – as time progresses increase the priority of the process
  
     Example of Priority Scheduling    
     Process  Burst Time Priority
		 	P1                 10            3
		 	P2                  		1             1
		 	P3                  2             4
		 	P4                 		1             5
			P5                 		5             2
  
     Average waiting time = [(6)+(0)+(16)+(18)+(1)]/5 = 8.2 msec  
     Round Robin (RR)    
     Each process gets a small unit of CPU time (time quantum q), usually 10-100 milliseconds.    
     After this time has elapsed, the process is preempted and added to the end of the ready queue.  
     Timer interrupts every quantum to schedule next process  
     Performance
q large =》 FIFO
q small =》 q must be large with respect to context switch, otherwise overhead is too high  
     Example of RR with Time Quantum = 4    
     Process  Burst Time
   P1              24
		    P2	  	             3
		    P3               3  
     Typically, higher average turnaround than SJF, but better response  
     
Multilevel Queue    
     Ready queue is partitioned into separate queues, eg:
foreground (interactive)
background (batch)  
     Each queue has its own scheduling algorithm:
foreground – RR
background – FCFS  
     Scheduling must be done between the queues:
Fixed priority scheduling; (i.e., serve all from foreground then from background).  Possibility of starvation.
Time slice – each queue gets a certain amount of CPU time which it can schedule amongst its processes; 
i.e., 80% to foreground in RR,  20% to background in FCFS   
     Multilevel Feedback Queue    
     A process can move between the various queues; aging can be implemented this way  
     Multilevel-feedback-queue scheduler defined by the following parameters:
number of queues
scheduling algorithms for each queue
method used to determine when to upgrade a process
method used to determine when to demote a process
method used to determine which queue a process will enter when that process needs service  
     Example of Multilevel Feedback Queue    
     Three queues: 
Q0 – RR with time quantum 8 milliseconds
Q1 – RR time quantum 16 milliseconds
Q2 – FCFS  
     Scheduling
A new job enters queue Q0 which is served FCFS
When it gains CPU, job receives 8 milliseconds
If it does not finish in 8 milliseconds, job is moved to queue Q1
At Q1 job is again served FCFS and receives 16 additional milliseconds
If it still does not complete, it is preempted and moved to queue Q2  
     Thread Scheduling    
     Distinction between user-level and kernel-level threads  
     contention scope    
     Kernel thread scheduled onto available CPU is system-contention scope (SCS) – competition among all threads in system
  
     Many-to-one and many-to-many models, thread library schedules user-level threads to run on LWP
Known as process-contention scope (PCS) since scheduling competition is within the process
Typically done via priority set by programmer  
     Multiple-Processor Scheduling    
     CPU scheduling more complex when multiple CPUs are available  
     Asymmetric multiprocessing – only one processor accesses the system data structures, reducing the need for data sharing  
     Symmetric multiprocessing (SMP) – each processor is self-scheduling, all processes in common ready queue, or each processor has its own private queue of ready processes  
     Processor affinity – process has affinity for processor on which it is currently running
    
     soft affinity  
     hard affinity  
     Variations including processor sets  
     Operating System Examples    
     Solaris Scheduling     
     Scheduler converts class-specific priorities into a per-thread global priority    
     Thread with highest priority runs next  
     Runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority thread  
     Multiple threads at same priority selected via RR  
     Windows Scheduling    
     Windows uses priority-based preemptive scheduling  
     Highest-priority thread runs next  
     Dispatcher is scheduler  
     Thread runs until (1) blocks, (2) uses time slice, (3) preempted by higher-priority thread  
     Real-time threads can preempt non-real-time  
     Algorithm Evaluation    
     How to select CPU-scheduling algorithm for an OS?    
     Determine criteria, then evaluate algorithms  
     Queueing Models    
     Describes the arrival of processes, and CPU and I/O bursts probabilistically    
     Commonly exponential, and described by mean  
     Computes average throughput, utilization, waiting time, etc  
     Computer system described as network of servers, each with queue of waiting processes    
     Knowing arrival rates and service rates  
     Computes utilization, average queue length, average wait time, etc  
     Little’s Formula    
     n = average queue length
W = average waiting time in queue
λ = average arrival rate into queue
Little’s law – in steady state, processes leaving queue must equal processes arriving, thus             n = λ x W
Valid for any scheduling algorithm and arrival distribution  
     For example, if on average 7 processes arrive per second, and normally 14 processes in queue, then average wait time per process = 2 seconds  
     Simulations    
     Simulations more accurate    
     Programmed model of computer system
Clock is a variable
Gather statistics  indicating algorithm performance
Data to drive simulation gathered via
Random number generator according to probabilities  
     Implementation    
     Even simulations have limited accuracy
  
     Just implement new scheduler and test in real systems
High cost, high risk
Environments vary  
     Most flexible schedulers can be modified per-site or per-system  
     APIs to modify priorities  
    
 
 
 
 
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