Resources can be preemptable or non-preemptable. A resource
is preemptable if it can be taken away from the process that is holding it
[we can think that the original holder waits, frozen, until the resource
is returned to it]. Memory is an example of a preemptable resource.
Of course, one may choose to deal with intrinsically preemptable resources
as if they were non-preemptable. In our discussion we only consider
non-preemptable resources.
Resources can be reusable or consumable. They are reusable
if they can be used again after a process is done using them. Memory, printers,
tape drives are examples of reusable resources. Consumable resources are
resources that can be used only once. For example a message or an event.
If two processes are waiting for a message and one receives it, then the
other process remains waiting. To reason about deadlocks when dealing
with consumable resources is extremely difficult. Thus we will restrict our
discussion to reusable resources.
Resources are usually with a multiplicity, i.e. an indication of how
many copies of the resource exist. So we may have 3 tape drives, 2 printers,
etc. We normally assume that resources have a multiplicity different than 1.
If it were always 1 the study of deadlocks could be simplified.
State transitions can be represented as transitions between the corresponding resource allocation graphs. Here are the rules for state transitions:
Here are some important propositions about deadlocks and resource allocation graphs:
Here is an example of reduction of a RAG:
Here is a system
P1:REPEAT P2:REPEAT ........ ........ 1 request(Disk); 1 request(Tape); ........ ........ 2 request(Tape); 2 request(Disk); ........ ........ 3 release(Tape); 3 release(Disk); ........ ........ 4 release(Disk) 4 release(Tape); ........ ........ FOREVER FOREVERHere is the corresponding State Graph [the state of a program when starting to execute a statement is the line number of that statement; the state of a system is the ordered pair of the sates of the programs]:
Here we see that state [2,2] is a deadlock state. If we had recognised also a state1.5 between statements 1 and 2 we would have created a more complex state graph where some states would be semi-deadlock states, i.e. states where the system is not yet deadlocked but it will have no choice but to become deadlocked. In general we can have the following kinds of states:
It is easy to see that with this rule we will not get into deadlocks. [Proof by
contradiction.]
Here is an example of how we apply this rule. We are given a process that
uses resources ordered as A, B, C, D, E in the following manner:
Then the process can do the following:
acquire(A); acquire(B); acquire(C); use C use A and C use A, B, C release(A); release(B); acquire(E); use C and E release(C); release(E); acquire(D); use D release(D);A strategy such as this can be used when we have a few resources. It is easy to apply and does not reduce the degree of concurrency too much.
Here is an example of use of this rule, locking a single resource at a time.
Then if a process wants to use the resources e, f, i, k it uses in sequence the commands:
The Banker's Algorithm is used to determine if a request can be satisfied. It uses the following variables:
procedure BANKER(REQUEST_I: array[1..m] of integer; i : 1..n) is { if REQUEST_I > NEEDi then ERROR; -- The user is asking more than the agreed maximum repeat while (REQUEST_i > AVAILABLE) yield; -- Resources are not available at this time ALLOCATION_i = ALLOCATION_i + REQUEST_i; AVAILABLE = AVAILABLE - REQUEST_I; if SAFE_STATE then RETURN; -- The request is approved ALLOCATION_i = ALLOCATION_I - REQUEST_i; AVAILABLE = AVAILABLE + REQUEST_i; YIELD; -- The request cannot safely be satisfied at this time forever; } BOOLEAN function SAFESTATE is -- Determines if current state is safe { NOCHANGE : boolean; WORK : array[1..m] of INTEGER = AVAILABLE; FINISH : array[1..n] of boolean = [false, ..,false]; I : integer; repeat NOCHANGE = TRUE; for I = 1 to N do if ((not FINISH[i]) and NEEDi <= WORK) then { WORK = WORK + ALLOCATION_i; FINISH[i] = true; NOCHANGE = false; } until NOCHANGE; return (FINISH == (true, .., true)); }The time complexity of the Banker's algorithm as a function of the number n of processes and m of resources is o(n*n*m).
Here is an example of use of the Banker's algorithm in the case of a single resource with multiplicity 12 and three processes, P1, P2, P3 which have a maximum need of, respectively, 10, 4, and 9. Currently these processes have respectively 5, 2, and 2 copies of the resource.
Note that we can use the SafeState routine to determine if we are in a deadlock state. More precisely, it recognizes unsafe states, i.e. deadlock and almost-deadlock states. But this is what we are usually interested in instead of just deadlock states.
In practice deadlocks are dealt with in a variety of ways. Prevention (linear ordering) for internal resources like PCBs and buffers; prevention (pre-emption by swapping out) for central memory; avoidance (banker's algorithm) for job resources like tape drives; pre-allocation with given maxima for swapping space; or just the Ostrich Solution (don't worry about the possibility of deadlocks) if they are sufficiently rare.
ingargiola.cis.temple.edu