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9 | bondari | 1 | <?xml version="1.0" encoding="UTF-8"?> |
39 | bondari | 2 | <chapter id="architecture"> |
3 | <?dbhtml filename="arch.html"?> |
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9 | bondari | 4 | |
39 | bondari | 5 | <title>Architecture overview</title> |
37 | bondari | 6 | |
48 | jermar | 7 | <para>The HelenOS operating system is designed as a relatively small |
8 | microkernel assisted with a set of userspace drivers and server tasks. |
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9 | HelenOS is not very radical in what subsystems should or should not be |
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10 | implemented in the kernel - in some cases, both kernel and userspace drivers |
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11 | exist. The reason for creating the system as a microkernel is prosaic. Even |
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12 | though it is initially more difficult to get the same level of functionality |
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13 | from a microkernel than it is in the case of a simple monolithic kernel, a |
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14 | microkernel is much easier to maintain once the pieces have been put to work |
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15 | together. Therefore, the kernel of HelenOS, as well as the essential |
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16 | userspace libraries thereof can be maintained by only a few developers who |
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17 | understand them completely. In addition, a microkernel based operating |
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18 | system reaches completion sooner than monolithic kernels as the system can |
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19 | be used even without some traditional subsystems (e.g. block devices, |
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20 | filesystems and networking).</para> |
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38 | bondari | 21 | |
72 | bondari | 22 | <figure> |
23 | <mediaobject id="arch1" xreflabel=""> |
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48 | jermar | 24 | <imageobject role="html"> |
25 | <imagedata fileref="images/arch1.png" format="PNG" /> |
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26 | </imageobject> |
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38 | bondari | 27 | |
48 | jermar | 28 | <imageobject role="fop"> |
29 | <imagedata fileref="images.vector/arch1.svg" format="SVG" /> |
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72 | bondari | 30 | </imageobject> |
62 | jermar | 31 | </mediaobject> |
72 | bondari | 32 | |
62 | jermar | 33 | <title>HelenOS architecture overview.</title> |
72 | bondari | 34 | </figure> |
48 | jermar | 35 | |
72 | bondari | 36 | <para>HelenOS is comprised of the kernel and the userspace server tasks. The |
48 | jermar | 37 | kernel provides scheduling, memory management and IPC. It also contains |
38 | essential device drivers that control the system clock and other devices |
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39 | necessary to guarantee a safe environment. Userspace communicates with the |
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40 | kernel through a small set of syscalls. The userspace layer consists of |
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41 | tasks with different roles, capabilities and privileges. Some of the tasks |
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42 | serve as device drivers, naming servers, managers of various kinds and some |
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43 | are just ordinary user programs. All of them communicate with other threads |
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44 | via kernel-provided IPC.</para> |
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45 | |||
39 | bondari | 46 | <section> |
48 | jermar | 47 | <title>Scheduling</title> |
38 | bondari | 48 | |
72 | bondari | 49 | <indexterm> |
50 | <primary>thread</primary> |
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51 | </indexterm> |
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52 | |||
48 | jermar | 53 | <para>Kernel's unit of execution flow is a thread. A thread is an entity |
54 | that executes code and has a stack that takes up some space in memory. The |
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55 | relation between kernel and userspace threads is 1:1:n, meaning that there |
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56 | can be several pseudo threads running within one userspace thread that |
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57 | maps to one kernel thread. Threads are grouped into tasks by functionality |
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58 | they provide (i.e. several threads implement functionality of one task). |
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72 | bondari | 59 | <indexterm> |
60 | <primary>task</primary> |
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61 | </indexterm> Tasks serve as containers of threads, they provide linkage |
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62 | to address space and are communication endpoints for IPC. Finally, tasks |
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63 | can be holders of capabilities that entitle them to do certain sensitive |
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58 | jermar | 64 | operations (e.g access raw hardware and physical memory).</para> |
48 | jermar | 65 | |
66 | <para>The scheduler deploys several run queues on each processor. A thread |
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67 | ready for execution is put into one of the run queues, depending on its |
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68 | priority and its current processor, from where it is eventually picked up |
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69 | by the scheduler. Special purpose kernel threads strive to keep processors |
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70 | balanced by thread migration. Threads are scheduled by the round robing |
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71 | scheduling policy with respect to multiple priority run queues.</para> |
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49 | jermar | 72 | </section> |
48 | jermar | 73 | |
49 | jermar | 74 | <section> |
75 | <title>Memory management</title> |
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76 | |||
77 | <para>Memory management is another large subsystem in HelenOS. It serves |
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78 | the kernel to satisfy its own memory allocation requests, provides |
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79 | translation between virtual and physical memory addresses and manages |
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80 | virtual address spaces of userspace tasks.</para> |
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81 | |||
82 | <para>Kernel allocates memory from the slab allocator, which itself |
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83 | allocates memory from a buddy system based allocator of physical memory |
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84 | frames.</para> |
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85 | |||
86 | <para>The virtual address translation layer currently supports two |
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87 | mechanisms for mapping virtual memory pages to physical memory frames |
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88 | (i.e. 4-level hierarchical page tables and global page hash table), and is |
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89 | further extensible to other mechanisms.</para> |
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90 | |||
72 | bondari | 91 | <indexterm> |
92 | <primary>address space</primary> |
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93 | </indexterm> |
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94 | |||
49 | jermar | 95 | <para>Userspace tasks depend on support of address spaces provided by the |
96 | kernel. Each address space is a set of mutually dijunctive address space |
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97 | areas that group pages of common attributes. An address space area is |
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50 | jermar | 98 | usually connected to, and backed by, anonymous memory, executable image of |
99 | some program or continuous region of physical memory. However, swapping |
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100 | pages in and out to external memory is not supported. Address space areas |
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101 | can be easily shared among address spaces.</para> |
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39 | bondari | 102 | </section> |
49 | jermar | 103 | |
104 | <section> |
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72 | bondari | 105 | <indexterm> |
106 | <primary>IPC</primary> |
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107 | </indexterm> |
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108 | |||
49 | jermar | 109 | <title>IPC</title> |
110 | |||
111 | <para>Due to the fact that HelenOS is a microkernel, strong emphasis is |
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112 | put on its IPC (Inter-Process Communication<footnote> |
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113 | <para>The term Inter-Process Communication is slightly confusing |
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114 | because in HelenOS terminology there are tasks instead of processes. |
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115 | However, its abbreviation, IPC, is being publicly used as a standard |
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116 | name for similar facilities. This book will therefore use the term IPC |
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117 | to refer to communication among tasks.</para> |
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118 | </footnote>). Tasks communicate by passing very short messages to one |
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119 | another or by sending (i.e. sharing) address space areas when larger data |
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120 | is to be transfered.</para> |
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121 | |||
72 | bondari | 122 | <indexterm> |
123 | <primary>IPC</primary> |
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124 | |||
125 | <secondary>- phone</secondary> |
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126 | </indexterm> |
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127 | |||
128 | <indexterm> |
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129 | <primary>IPC</primary> |
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130 | |||
131 | <secondary>- answerbox</secondary> |
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132 | </indexterm> |
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133 | |||
134 | <indexterm> |
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135 | <primary>IPC</primary> |
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136 | |||
137 | <secondary>- message queue</secondary> |
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138 | </indexterm> |
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139 | |||
49 | jermar | 140 | <para>The abstraction uses terms like phones, calls and answerboxes, but |
141 | is pretty similar to well-known abstraction of message queues. A task can |
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142 | have multiple simultaneous simplex connections to several other tasks. A |
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143 | connection leads from one of the source task's phones to the destination |
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144 | task's answerbox. The phones are used as handles for making calls to other |
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145 | tasks. Calls can be synchronous or asynchronous and can be forwarded from |
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146 | one task to another.</para> |
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147 | </section> |
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39 | bondari | 148 | </chapter> |