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Diffstat (limited to 'src/libstrongswan/processing/scheduler.h')
-rw-r--r-- | src/libstrongswan/processing/scheduler.h | 130 |
1 files changed, 130 insertions, 0 deletions
diff --git a/src/libstrongswan/processing/scheduler.h b/src/libstrongswan/processing/scheduler.h new file mode 100644 index 000000000..f2c72550f --- /dev/null +++ b/src/libstrongswan/processing/scheduler.h @@ -0,0 +1,130 @@ +/* + * Copyright (C) 2009 Tobias Brunner + * Copyright (C) 2005-2007 Martin Willi + * Copyright (C) 2005 Jan Hutter + * Hochschule fuer Technik Rapperswil + * + * This program is free software; you can redistribute it and/or modify it + * under the terms of the GNU General Public License as published by the + * Free Software Foundation; either version 2 of the License, or (at your + * option) any later version. See <http://www.fsf.org/copyleft/gpl.txt>. + * + * This program is distributed in the hope that it will be useful, but + * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY + * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License + * for more details. + */ + +/** + * @defgroup scheduler scheduler + * @{ @ingroup processing + */ + +#ifndef SCHEDULER_H_ +#define SCHEDULER_H_ + +typedef struct scheduler_t scheduler_t; + +#include <library.h> +#include <processing/jobs/job.h> + +/** + * The scheduler queues timed events which are then passed to the processor. + * + * The scheduler is implemented as a heap. A heap is a special kind of tree- + * based data structure that satisfies the following property: if B is a child + * node of A, then key(A) >= (or <=) key(B). So either the element with the + * greatest (max-heap) or the smallest (min-heap) key is the root of the heap. + * We use a min-heap whith the key being the absolute unix time at which an + * event is scheduled. So the root is always the event that will fire next. + * + * An earlier implementation of the scheduler used a sorted linked list to store + * the events. That had the advantage that removing the next event was extremely + * fast, also, adding an event scheduled before or after all other events was + * equally fast (all in O(1)). The problem was, though, that adding an event + * in-between got slower, as the number of events grew larger (O(n)). + * For each connection there could be several events: IKE-rekey, NAT-keepalive, + * retransmissions, expire (half-open), and others. So a gateway that probably + * has to handle thousands of concurrent connnections has to be able to queue a + * large number of events as fast as possible. Locking makes this even worse, to + * provide thread-safety, no events can be processed, while an event is queued, + * so making the insertion fast is even more important. + * + * That's the advantage of the heap. Adding an element to the heap can be + * achieved in O(log n) - on the other hand, removing the root node also + * requires O(log n) operations. Consider 10000 queued events. Inserting a new + * event in the list implementation required up to 10000 comparisons. In the + * heap implementation, the worst case is about 13.3 comparisons. That's a + * drastic improvement. + * + * The implementation itself uses a binary tree mapped to a one-based array to + * store the elements. This reduces storage overhead and simplifies navigation: + * the children of the node at position n are at position 2n and 2n+1 (likewise + * the parent node of the node at position n is at position [n/2]). Thus, + * navigating up and down the tree is reduced to simple index computations. + * + * Adding an element to the heap works as follows: The heap is always filled + * from left to right, until a row is full, then the next row is filled. Mapped + * to an array this gets as simple as putting the new element to the first free + * position. In a one-based array that position equals the number of elements + * currently stored in the heap. Then the heap property has to be restored, i.e. + * the new element has to be "bubbled up" the tree until the parent node's key + * is smaller or the element got the new root of the tree. + * + * Removing the next event from the heap works similarly. The event itself is + * the root node and stored at position 1 of the array. After removing it, the + * root has to be replaced and the heap property has to be restored. This is + * done by moving the bottom element (last row, rightmost element) to the root + * and then "seep it down" by swapping it with child nodes until none of the + * children has a smaller key or it is again a leaf node. + */ +struct scheduler_t { + + /** + * Adds a event to the queue, using a relative time offset in s. + * + * @param job job to schedule + * @param time relative time to schedule job, in s + */ + void (*schedule_job) (scheduler_t *this, job_t *job, u_int32_t s); + + /** + * Adds a event to the queue, using a relative time offset in ms. + * + * @param job job to schedule + * @param time relative time to schedule job, in ms + */ + void (*schedule_job_ms) (scheduler_t *this, job_t *job, u_int32_t ms); + + /** + * Adds a event to the queue, using an absolut time. + * + * The passed timeval should be calculated based on the time_monotonic() + * function. + * + * @param job job to schedule + * @param time absolut time to schedule job + */ + void (*schedule_job_tv) (scheduler_t *this, job_t *job, timeval_t tv); + + /** + * Returns number of jobs scheduled. + * + * @return number of scheduled jobs + */ + u_int (*get_job_load) (scheduler_t *this); + + /** + * Destroys a scheduler object. + */ + void (*destroy) (scheduler_t *this); +}; + +/** + * Create a scheduler. + * + * @return scheduler_t object + */ +scheduler_t *scheduler_create(void); + +#endif /** SCHEDULER_H_ @}*/ |