Revert "add fiops and sio schedulers"

This reverts commit 1d28c2419c0a2302cc9b8610023e28846fca3d02.
add intellidemand governor
Optimized ARM RWSEM algorithm

RWSEM implementation for ARM using atomic functions.
Heavily based on arch/sh/include/asm/rwsem.h

Signed-off-by: Ashwin Chaugule <ashwinc@codeaurora.org>
lib/memcopy: use glibc version

the kernel's memcpy and memmove is very inefficient. But the glibc version is
quite fast, in some cases it is 10 times faster than the kernel version. So I
introduce some memory copy macros and functions of the glibc to improve the
kernel version's performance.

The strategy of the memory functions is:
1. Copy bytes until the destination pointer is aligned.
2. Copy words in unrolled loops.  If the source and destination are not
   aligned in the same way, use word memory operations, but shift and merge
   two read words before writing.
3. Copy the few remaining bytes.

Signed-off-by: Miao Xie <miaox*******>
Signed-off-by: faux123 <reioux@gmail.com>
lib/string: use glibc version

the performance of memcpy and memmove of the general version is very
inefficient, this patch improved them.

Signed-off-by: Miao Xie <miaox*******>
Signed-off-by: faux123 <reioux@gmail.com>
block: BFQ-v6r1 I/O sched for 3.4

BFQ is based on CFQ code, but it implements a more accurate scheduling policy. In brief, differently from CFQ, BFQ does not grant the disk to each process for a fixed time-slice, but until the process exhausts a previously assigned budget, measured in number of sectors. Budgets are scheduled with an internal budget scheduler, B-WF2Q+, a modified version of the WF2Q+ packet scheduler.
In more detail, in BFQ, as in CFQ, synchronous requests are collected in per-task queues, and asynchronous requests are collected in per-device (or, in case of hierarchical scheduling, per group) queues. When a new queue is created, it is assigned a budget, measured in number of sectors, to use when the queue itself is granted access to the disk. BFQ exclusively serves one queue at a time. When the underlying device driver asks for the next request to serve, BFQ selects the first request from the queue under service in C-LOOK order and returns it to the driver. The budget of the queue is decremented by the size of the request. As in CFQ, if a sync queue has no more requests to serve, but it has some budget left, the scheduler idles (i.e., it tells to the device driver that it has no requests to serve even if there are other backlogged queues) for a short period, waiting for a new request from the task associated to the queue. The queue under service goes on being served until one of the following conditions is met:

the idling timer expires while BFQ is idling to wait for the arrival of the next request from the task associated to the queue
the queue is spending too much time to consume its budget (budget timeout, see the timeout_* parameters below), or
the queue exhausts its budget, or
the queue is not sync and has no more requests to serve.
When the queue is deselected, it is assigned a new budget, computed as a function of which of the above events occurred. The next queue to serve is selected with B-WF2Q+, a modified version of the WF2Q+ packet scheduler. B-WF2Q+ schedules backlogged queues as a function of: their budgets, their weights and the service they have already received.

Working in the service domain and not in the time domain is what allows BFQ to distribute the disk throughput as desired, unconditionally and even if it fluctuates. In addition, the accurate service distribution of the internal B-WF2Q+ scheduler, guarantees tight delays with respect to the completion times that the requests would enjoy in an ideal perfectly-fair system.

The idea for reducing the latency for interactive and soft real-time processes (when low_latency is enabled) is just raising the weight of the associated queues. More details can be found here. An important point is that such an heuristics allows interactive and soft real-time queues to steal more throughput than their fair share to other queues. If the resulting loss of fairness is undesired (e.g., in a server system), it is certainly better to switch low_latency off.

When hierarchical scheduling is enabled, queues are collected in a tree of groups, and there is a distinct B-WFQ2+ scheduler on each non-leaf node. Leaf nodes are request queues as in the non-hierarchical case.

BFQ supports ioprio classes at each hierarchy level, enforcing a strict priority ordering among classes. This means that idle queues/groups are served only if there are no best effort queues/group in the same scheduler, and best effort queues/groups are served only if there are no real-time queues/groups.

Conflicts:
	block/Kconfig.iosched
	block/bfq-cgroup.c
	block/bfq-ioc.c
	block/bfq-iosched.c
	block/bfq-sched.c
	block/bfq.h