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e9d8db1c 1/*
11ac1dff 2 * Copyright (C) 2009-2015 Tobias Brunner
9fe1a1ca 3 * Copyright (C) 2005-2007 Martin Willi
c71d53ba 4 * Copyright (C) 2005 Jan Hutter
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5 *
6 * Copyright (C) secunet Security Networks AG
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7 *
8 * This program is free software; you can redistribute it and/or modify it
9 * under the terms of the GNU General Public License as published by the
10 * Free Software Foundation; either version 2 of the License, or (at your
11 * option) any later version. See <http://www.fsf.org/copyleft/gpl.txt>.
12 *
13 * This program is distributed in the hope that it will be useful, but
14 * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
15 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
16 * for more details.
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17 */
18
19/**
20 * @defgroup scheduler scheduler
e18556e9 21 * @{ @ingroup processing
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22 */
23
24#ifndef SCHEDULER_H_
25#define SCHEDULER_H_
26
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27typedef struct scheduler_t scheduler_t;
28
db7ef624 29#include <library.h>
9fe1a1ca 30#include <processing/jobs/job.h>
382b4817 31
e9d8db1c 32/**
28154e35 33 * The scheduler queues timed events which are then passed to the processor.
382b4817 34 *
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35 * The scheduler is implemented as a heap. A heap is a special kind of tree-
36 * based data structure that satisfies the following property: if B is a child
37 * node of A, then key(A) >= (or <=) key(B). So either the element with the
38 * greatest (max-heap) or the smallest (min-heap) key is the root of the heap.
f3bb1bd0 39 * We use a min-heap with the key being the absolute unix time at which an
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40 * event is scheduled. So the root is always the event that will fire next.
41 *
42 * An earlier implementation of the scheduler used a sorted linked list to store
43 * the events. That had the advantage that removing the next event was extremely
44 * fast, also, adding an event scheduled before or after all other events was
45 * equally fast (all in O(1)). The problem was, though, that adding an event
46 * in-between got slower, as the number of events grew larger (O(n)).
47 * For each connection there could be several events: IKE-rekey, NAT-keepalive,
48 * retransmissions, expire (half-open), and others. So a gateway that probably
2db6d5b8 49 * has to handle thousands of concurrent connections has to be able to queue a
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50 * large number of events as fast as possible. Locking makes this even worse, to
51 * provide thread-safety, no events can be processed, while an event is queued,
52 * so making the insertion fast is even more important.
53 *
54 * That's the advantage of the heap. Adding an element to the heap can be
55 * achieved in O(log n) - on the other hand, removing the root node also
56 * requires O(log n) operations. Consider 10000 queued events. Inserting a new
57 * event in the list implementation required up to 10000 comparisons. In the
58 * heap implementation, the worst case is about 13.3 comparisons. That's a
59 * drastic improvement.
60 *
61 * The implementation itself uses a binary tree mapped to a one-based array to
62 * store the elements. This reduces storage overhead and simplifies navigation:
63 * the children of the node at position n are at position 2n and 2n+1 (likewise
64 * the parent node of the node at position n is at position [n/2]). Thus,
65 * navigating up and down the tree is reduced to simple index computations.
66 *
67 * Adding an element to the heap works as follows: The heap is always filled
68 * from left to right, until a row is full, then the next row is filled. Mapped
69 * to an array this gets as simple as putting the new element to the first free
70 * position. In a one-based array that position equals the number of elements
71 * currently stored in the heap. Then the heap property has to be restored, i.e.
72 * the new element has to be "bubbled up" the tree until the parent node's key
68173e1f 73 * is smaller or the element got the new root of the tree.
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74 *
75 * Removing the next event from the heap works similarly. The event itself is
76 * the root node and stored at position 1 of the array. After removing it, the
77 * root has to be replaced and the heap property has to be restored. This is
78 * done by moving the bottom element (last row, rightmost element) to the root
79 * and then "seep it down" by swapping it with child nodes until none of the
80 * children has a smaller key or it is again a leaf node.
e9d8db1c 81 */
6554b5e4 82struct scheduler_t {
7daf5226 83
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84 /**
85 * Adds a event to the queue, using a relative time offset in s.
86 *
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87 * @param job job to schedule
88 * @param time relative time to schedule job, in s
6554b5e4 89 */
b12c53ce 90 void (*schedule_job) (scheduler_t *this, job_t *job, uint32_t s);
7daf5226 91
9fe1a1ca 92 /**
6554b5e4 93 * Adds a event to the queue, using a relative time offset in ms.
9fe1a1ca 94 *
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95 * @param job job to schedule
96 * @param time relative time to schedule job, in ms
6554b5e4 97 */
b12c53ce 98 void (*schedule_job_ms) (scheduler_t *this, job_t *job, uint32_t ms);
7daf5226 99
6554b5e4 100 /**
2db6d5b8 101 * Adds a event to the queue, using an absolute time.
9fe1a1ca 102 *
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103 * The passed timeval should be calculated based on the time_monotonic()
104 * function.
105 *
8c387909 106 * @param job job to schedule
2db6d5b8 107 * @param time absolute time to schedule job
9fe1a1ca 108 */
6554b5e4 109 void (*schedule_job_tv) (scheduler_t *this, job_t *job, timeval_t tv);
7daf5226 110
9fe1a1ca 111 /**
552cc11b 112 * Returns number of jobs scheduled.
9fe1a1ca 113 *
8c387909 114 * @return number of scheduled jobs
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115 */
116 u_int (*get_job_load) (scheduler_t *this);
7daf5226 117
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118 /**
119 * Remove all scheduled jobs.
120 */
121 void (*flush)(scheduler_t *this);
122
e9d8db1c 123 /**
552cc11b 124 * Destroys a scheduler object.
e9d8db1c 125 */
9fe1a1ca 126 void (*destroy) (scheduler_t *this);
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127};
128
ca76df97 129/**
552cc11b 130 * Create a scheduler.
28154e35 131 *
8c387909 132 * @return scheduler_t object
ca76df97 133 */
9fe1a1ca 134scheduler_t *scheduler_create(void);
e9d8db1c 135
1490ff4d 136#endif /** SCHEDULER_H_ @}*/