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52 | jermar | 1 | <?xml version="1.0" encoding="UTF-8"?> |
59 | jermar | 2 | <chapter id="ds"> |
3 | <?dbhtml filename="ds.html"?> |
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52 | jermar | 4 | |
59 | jermar | 5 | <title>Data structures</title> |
52 | jermar | 6 | |
59 | jermar | 7 | <para>There is lots of data that either flows through various HelenOS |
8 | subsystems or is stored directly by them. Each subsystem uses its own data |
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9 | structures to represent the data. These data structures need to be kept |
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10 | somewhere. In order to work efficiently, HelenOS, and especially its kernel, |
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11 | deploys several house keeping data types that are designed to faciliate |
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12 | managing other data structures. Most of them serve like generic |
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13 | containers.</para> |
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52 | jermar | 14 | |
59 | jermar | 15 | <section> |
16 | <title>Lists</title> |
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52 | jermar | 17 | |
59 | jermar | 18 | <para>HelenOS uses doubly-circularly-linked lists to bind related data |
19 | together. Lists are composed of an independent sentinel node called head |
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20 | and links that are always part of the object that is to be put into the |
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21 | list. Adding items to a list thus doesn't require any further memory |
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22 | allocations. Head and each link then contains forward and backward |
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23 | pointer. An empty list is composed of a sole head whose both pointers |
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24 | reference the head itself. The expense of two times bigger memory |
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25 | consumption as compared to memory consumption of singly linked lists is |
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26 | justified by constant insertion and removal times at random positions |
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27 | within the list.</para> |
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52 | jermar | 28 | |
59 | jermar | 29 | <para>Lists are frequently used to implement FIFO behaviour (e.g. |
30 | scheduler run queues or synchronization wait queues). Contrary to the FIFO |
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31 | type, which is also supported by HelenOS, they don't take up any unused |
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32 | space and are more general. On the other hand, they are slower than |
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33 | in-array FIFOs and can be hardly used to implement buffers.</para> |
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34 | </section> |
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35 | |||
36 | <section> |
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37 | <title>FIFO queues</title> |
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38 | |||
39 | <para>FIFO queues are implemented as either statically or dynamically |
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40 | allocated arrays<footnote> |
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41 | <para>Depending on the array size.</para> |
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42 | </footnote> of some generic type with two indices. The first index |
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43 | points to the head of the FIFO queue and the other points to the tail |
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44 | thereof. There can be as many items in the FIFO as is the number of |
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45 | elements in the array and no more. The indices are taken modulo size of |
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46 | the queue because as a consequence of insertions and deletions, the tail |
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47 | can have numericaly lower index than the head.</para> |
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48 | |||
49 | <para>FIFO queues are used, for example, in ASID management code to store |
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50 | inactive ASIDs or in userspace keyboard driver to buffer read |
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51 | characters.</para> |
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52 | </section> |
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53 | |||
54 | <section> |
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55 | <title>Hash tables</title> |
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56 | |||
57 | <para>The kernel, as well as userspace, provides hash table data type |
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58 | which uses separate chaining. The hash table type is very generic in that |
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59 | it forces the user to supply methods for computing the hash index, |
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60 | comparing items against a set of keys and the item removal callback |
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61 | function. Besides these virtual operations, the hash table is composed of |
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62 | a dynamically allocated array of list heads that represent each chain, |
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63 | number of chains and the maximal number of keys.</para> |
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64 | </section> |
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65 | |||
66 | <section> |
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67 | <title>Bitmaps</title> |
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68 | |||
69 | <para>Several bitmap operations such as clearing or setting consecutive |
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70 | bit sequences as well as copying portions of one bitmap into another one |
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71 | are supported.</para> |
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72 | </section> |
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73 | |||
74 | <section> |
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75 | <title>B+trees</title> |
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76 | |||
77 | <para>HelenOS makes use of a variant of B-tree called B+tree. B+trees, in |
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78 | HelenOS implementation, are 3-4-5 balanced trees. They are characteristic |
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79 | by the fact that values are kept only in the leaf-level nodes and that |
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80 | these nodes are linked together in a list. This data structure has |
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81 | logaritmic search, insertion and deletion times and, thanks to the |
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82 | leaf-level list, provides fantastic means of walking the nodes containing |
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83 | data. Moreover, B+trees can be used for easy storing, resizing and merging |
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84 | of disjunctive intervals.</para> |
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60 | jermar | 85 | |
86 | <para> |
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87 | <mediaobject id="btree" xreflabel=""> |
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88 | <imageobject role="html"> |
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89 | <imagedata fileref="images/btree.png" format="PNG" /> |
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90 | </imageobject> |
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91 | |||
92 | <imageobject role="fop"> |
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93 | <imagedata fileref="images.vector/btree.svg" format="SVG" /> |
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94 | </imageobject> |
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95 | |||
96 | <caption>B+tree</caption> |
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97 | </mediaobject> |
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98 | </para> |
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99 | |||
59 | jermar | 100 | </section> |
101 | </chapter> |