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9 | bondari | 1 | <?xml version="1.0" encoding="UTF-8"?> |
57 | jermar | 2 | <chapter id="scheduling"> |
3 | <?dbhtml filename="scheduling.html"?> |
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9 | bondari | 4 | |
57 | jermar | 5 | <title>Scheduling</title> |
9 | bondari | 6 | |
57 | jermar | 7 | <para>One of the key aims of the operating system is to create and support |
8 | the impression that several activities are executing contemporarily. This is |
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9 | true for both uniprocessor as well as multiprocessor systems. In the case of |
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10 | multiprocessor systems, the activities are trully happening in parallel. The |
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11 | scheduler helps to materialize this impression by planning threads on as |
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12 | many processors as possible and, where this means reaches its limits, by |
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13 | quickly switching among threads executing on a single processor.</para> |
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14 | |||
15 | <section> |
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16 | <title>Contexts</title> |
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17 | |||
18 | <para>The term context refers to the set of processor resources that |
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19 | define the current state of the computation or the environment and the |
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20 | kernel understands it in several more or less narrow sences:</para> |
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21 | |||
22 | <itemizedlist> |
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23 | <listitem> |
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24 | <para>synchronous register context,</para> |
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25 | </listitem> |
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26 | |||
27 | <listitem> |
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28 | <para>asynchronous register context,</para> |
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29 | </listitem> |
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30 | |||
31 | <listitem> |
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32 | <para>FPU context and</para> |
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33 | </listitem> |
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34 | |||
35 | <listitem> |
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36 | <para>memory management context.</para> |
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37 | </listitem> |
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38 | </itemizedlist> |
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39 | |||
76 | palkovsky | 40 | <para>The most narrow sense refers to the the synchronous register |
57 | jermar | 41 | context. It includes all the preserved registers as defined by the |
42 | architecture. To highlight some, the program counter and stack pointer |
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76 | palkovsky | 43 | take part in the synchronous register context. These registers must be |
44 | preserved across a procedure call and during synchronous context |
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45 | switches.</para> |
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57 | jermar | 46 | |
47 | <para>The next type of the context understood by the kernel is the |
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48 | asynchronous register context. On an interrupt, the interrupted execution |
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49 | flow's state must be guaranteed to be eventually completely restored. |
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50 | Therefore the interrupt context includes, among other things, the scratch |
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51 | registers as defined by the architecture. As a special optimization and if |
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52 | certain conditions are met, it need not include the architecture's |
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53 | preserved registers. The condition mentioned in the previous sentence is |
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54 | that the low-level assembly language interrupt routines don't modify the |
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55 | preserved registers. The handlers usually call a higher-level C routine. |
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56 | The preserved registers are then saved on the stack by the compiler |
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57 | generated code of the higher-level function. In HelenOS, several |
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58 | architectures can be compiled with this optimization.</para> |
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59 | |||
60 | <para>Although the kernel does not do any floating point |
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61 | arithmetics<footnote> |
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62 | <para>Some architectures (e.g. ia64) inevitably use a fixed set of |
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64 | jermar | 63 | floating point registers to carry out their normal operations.</para> |
57 | jermar | 64 | </footnote>, it must protect FPU context of userspace threads against |
65 | destruction by other threads. Moreover, only a fraction of userspace |
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66 | programs use the floating point unit. HelenOS contains a generic framework |
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64 | jermar | 67 | for switching FPU context only when the switch is forced (i.e. a thread |
68 | uses a floating point instruction and its FPU context is not loaded in the |
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69 | processor).</para> |
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57 | jermar | 70 | |
71 | <para>The last member of the context family is the memory management |
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72 | context. It includes memory management registers that identify address |
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73 | spaces on hardware level (i.e. ASIDs and page tables pointers).</para> |
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74 | |||
9 | bondari | 75 | <section> |
57 | jermar | 76 | <title>Synchronous context switches</title> |
9 | bondari | 77 | |
57 | jermar | 78 | <para>The scheduler, but also other pieces of the kernel, make heavy use |
79 | of synchronous context switches, because it is a natural vehicle not |
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80 | only for changes in control flow, but also for switching between two |
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81 | kernel stacks. Two functions figure in a synchronous context switch |
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82 | implementation: <code>context_save</code> and |
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83 | <code>context_restore</code>. Note that these two functions break the |
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84 | natural perception of the linear C code execution flow starting at |
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85 | function's entry point and ending on one of the function's exit |
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86 | points.</para> |
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87 | |||
88 | <para>When the <code>context_save</code> function is called, the |
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89 | synchronous context is saved in a memory structure passed to it. After |
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90 | executing <code>context_save</code>, the caller is returned 1 as a |
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91 | return value. The execution of instructions continues as normally until |
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92 | <code>context_restore</code> is called. For the caller, it seems like |
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93 | the call never returns<footnote> |
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94 | <para>Which might be a source of problems with variable liveliness |
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95 | after <code>context_restore</code>.</para> |
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96 | </footnote>. Nevertheless, a synchronous register context, which is |
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97 | saved in a memory structure passed to <code>context_restore,</code> is |
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98 | restored, thus transfering the control flow to the place of occurrence |
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99 | of the corresponding call to <code>context_save</code>. From the |
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100 | perspective of the caller of the corresponding |
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101 | <code>context_save</code>, it looks as though a return from |
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102 | <code>context_save</code>. However, this time a return value of 0 is |
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103 | returned.</para> |
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9 | bondari | 104 | </section> |
57 | jermar | 105 | </section> |
9 | bondari | 106 | |
57 | jermar | 107 | <section> |
58 | jermar | 108 | <title>Threads</title> |
9 | bondari | 109 | |
58 | jermar | 110 | <para>A thread is the basic executable entity with some code and stack. |
111 | While the code, implemented by a C language function, can be shared by |
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112 | several threads, the stack is always private to each instance of the |
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113 | thread. Each thread belongs to exactly one task through which it shares |
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114 | address space with its sibling threads. Threads that execute purely in the |
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115 | kernel don't have any userspace memory allocated. However, when a thread |
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116 | has ambitions to run in userspace, it must be allocated a userspace stack. |
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117 | The distinction between the purely kernel threads and threads running also |
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118 | in userspace is made by refering to the former group as to kernel threads |
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119 | and to the latter group as to userspace threads. Both kernel and userspace |
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120 | threads are visible to the scheduler and can become a subject of kernel |
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121 | preemption and thread migration during times when preemption is |
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122 | possible.</para> |
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123 | |||
64 | jermar | 124 | <formalpara> |
125 | <title>Thread states</title> |
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62 | jermar | 126 | |
75 | jermar | 127 | <para>In each moment, a thread exists in one of six possible thread |
64 | jermar | 128 | states. When the thread is created and first readied into the |
129 | scheduler's run queues or when a thread is migrated to a new processor, |
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75 | jermar | 130 | it is put into the <constant>Entering</constant> state. After some time, |
131 | the scheduler picks up the thread and starts executing it. A thread |
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132 | being currently executed on a processor is in the |
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133 | <constant>Running</constant> state. From there, the thread has three |
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134 | possibilities. It either runs until it is preemtped, in which case the |
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135 | state changes to <constant>Ready</constant>, goes to the |
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136 | <constant>Sleeping</constant> state by going to sleep or enters the |
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137 | <constant>Exiting</constant> state when it reaches termination. When the |
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138 | thread exits, its kernel structure usually stays in memory, until the |
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139 | thread is detached by another thread using <code>thread_detach</code> |
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140 | function. Terminated but undetached threads are in the |
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141 | <constant>Undead</constant> state. When the thread is detached or |
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142 | detaches itself during its life, it is destroyed in the |
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143 | <constant>Exiting</constant> state and the <constant>Undead</constant> |
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144 | state is not reached.<figure> |
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64 | jermar | 145 | <title>Transitions among thread states.</title> |
61 | jermar | 146 | |
64 | jermar | 147 | <mediaobject id="thread_states" xreflabel=""> |
77 | bondari | 148 | <imageobject role="eps"> |
149 | <imagedata fileref="images.vector/thread_states.eps" |
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150 | format="EPS" /> |
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151 | </imageobject> |
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152 | |||
64 | jermar | 153 | <imageobject role="html"> |
154 | <imagedata fileref="images/thread_states.png" format="PNG" /> |
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155 | </imageobject> |
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62 | jermar | 156 | |
64 | jermar | 157 | <imageobject role="fop"> |
158 | <imagedata fileref="images.vector/thread_states.svg" |
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159 | format="SVG" /> |
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160 | </imageobject> |
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161 | </mediaobject> |
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162 | </figure></para> |
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163 | </formalpara> |
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58 | jermar | 164 | |
64 | jermar | 165 | <formalpara> |
166 | <title>Pseudo threads</title> |
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58 | jermar | 167 | |
64 | jermar | 168 | <para>HelenOS userspace layer knows even smaller units of execution. |
169 | Each userspace thread can make use of an arbitrary number of pseudo |
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170 | threads. These pseudo threads have their own synchronous register |
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171 | context, userspace code and stack. They live their own life within the |
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172 | userspace thread and the scheduler does not have any idea about them |
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173 | because they are completely implemented by the userspace library. This |
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174 | implies several things:<itemizedlist> |
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175 | <listitem> |
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176 | <para>pseudothreads schedule themselves cooperatively within the |
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177 | time slice given to their userspace thread,</para> |
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178 | </listitem> |
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58 | jermar | 179 | |
64 | jermar | 180 | <listitem> |
181 | <para>pseudothreads share FPU context of their containing thread |
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182 | and</para> |
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183 | </listitem> |
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184 | |||
185 | <listitem> |
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186 | <para>all pseudothreads of one userspace thread block when one of |
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187 | them goes to sleep.</para> |
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188 | </listitem> |
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189 | </itemizedlist></para> |
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190 | </formalpara> |
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59 | jermar | 191 | </section> |
58 | jermar | 192 | |
59 | jermar | 193 | <section> |
194 | <title>Scheduler</title> |
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195 | |||
196 | <section> |
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197 | <title>Run queues</title> |
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198 | |||
199 | <para>There is an array of several run queues on each processor. The |
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200 | current version of HelenOS uses 16 run queues implemented by 16 doubly |
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201 | linked lists. Each of the run queues is associated with thread priority. |
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202 | The lower the run queue index in the array is, the higher is the |
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203 | priority of threads linked in that run queue and the shorter is the time |
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204 | in which those threads will execute. When kernel code wants to access |
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205 | the run queue, it must first acquire its lock.</para> |
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206 | </section> |
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207 | |||
208 | <section> |
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209 | <title>Scheduler operation</title> |
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210 | |||
211 | <para>The scheduler is invoked either explicitly when a thread calls the |
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212 | <code>scheduler</code> function (e.g. goes to sleep or merely wants to |
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213 | relinquish the processor for a while) or implicitly on a periodic basis |
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214 | when the generic clock interrupt preempts the current thread. After its |
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215 | invocation, the scheduler saves the synchronous register context of the |
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216 | current thread and switches to its private stack. Afterwards, a new |
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217 | thread is selected according to the scheduling policy. If there is no |
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218 | suitable thread, the processor is idle and no thread executes on it. |
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219 | Note that the act of switching to the private scheduler stack is |
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220 | essential. If the processor kept running using the stack of the |
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221 | preempted thread it could damage it because the old thread can be |
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222 | migrated to another processor and scheduled there. In the worst case |
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62 | jermar | 223 | scenario, two execution flows would be using the same stack.</para> |
59 | jermar | 224 | |
225 | <para>The scheduling policy is implemented in function |
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226 | <code>find_best_thread</code>. This function walks the processor run |
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227 | queues from lower towards higher indices and looks for a thread. If the |
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228 | visited run queue is empty, it simply searches the next run queue. If it |
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229 | is known in advance that there are no ready threads waiting for |
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230 | execution, <code>find_best_thread</code> interruptibly halts the |
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231 | processor or busy waits until some threads arrive. This process repeats |
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232 | until <code>find_best_thread</code> succeeds.</para> |
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233 | |||
234 | <para>After the best thread is chosen, the scheduler switches to the |
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235 | thread's task and memory management context. Finally, the saved |
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236 | synchronous register context is restored and the thread runs. Each |
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237 | scheduled thread is given a time slice depending on its priority (i.e. |
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238 | run queue). The higher priority, the shorter timeslice. To summarize, |
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239 | this policy schedules threads with high priorities more frequently but |
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240 | gives them smaller time slices. On the other hand, lower priority |
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241 | threads are scheduled less frequently, but run for longer periods of |
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242 | time.</para> |
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243 | |||
244 | <para>When a thread uses its entire time slice, it is preempted and put |
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245 | back into the run queue that immediately follows the previous run queue |
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246 | from which the thread ran. Threads that are woken up from a sleep are |
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247 | put into the biggest priority run queue. Low priority threads are |
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248 | therefore those that don't go to sleep so often and just occupy the |
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249 | processor.</para> |
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250 | |||
251 | <para>In order to avoid complete starvation of the low priority threads, |
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252 | from time to time, the scheduler will provide them with a bonus of one |
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253 | point priority increase. In other words, the scheduler will now and then |
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254 | move the entire run queues one level up.</para> |
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255 | </section> |
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256 | |||
257 | <section> |
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258 | <title>Processor load balancing</title> |
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259 | |||
260 | <para>Normally, for the sake of cache locality, threads are scheduled on |
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261 | one of the processors and don't leave it. Nevertheless, a situation in |
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262 | which one processor is heavily overloaded while others sit idle can |
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76 | palkovsky | 263 | occur. HelenOS deploys special kernel threads to help mitigate this |
59 | jermar | 264 | problem. Each processor is associated with one load balancing thread |
76 | palkovsky | 265 | called <code>kcpulb</code> that wakes up regularly to see whether its |
266 | processor is underbalanced or not. If it is, the thread attempts to |
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59 | jermar | 267 | migrate threads from other overloaded processors to its own processor's |
268 | run queues. When the job is done or there is no need for load balancing, |
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269 | the thread goes to sleep.</para> |
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270 | |||
271 | <para>The balancing threads operate very gently and try to migrate low |
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272 | priority threads first; one <code>kcpulb</code> never takes from one |
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273 | processor twice in a row. The load balancing threads as well as threads |
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274 | that were just stolen cannot be migrated. The <code>kcpulb</code> |
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275 | threads are wired to their processors and cannot be migrated whatsoever. |
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276 | The ordinary threads are protected only until they are |
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277 | rescheduled.</para> |
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278 | </section> |
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57 | jermar | 279 | </section> |
280 | </chapter> |