Starvation and Deadlock (Operating System) - operating-system

I know deadlock and starvation definitions, but I'm still confused in these few points (Unable to arrive at which one is correct)
a) deadlock is a extreme case of starvation
b) deadlock and starvation are two unrelated concepts
c) starvation only leads to deadlock

Deadlock: is when all the processes do not get access to resources because every process is waiting for some another process and there is a cycle.
Starvation: is when a low priority process does not get access to the resources it needs because there is a high priority process accessing the resources. The entire system of processes hasn't come to halt in this case.
Since, only low priority process does not have access to resources in starvation, while in deadlock no process has access to the resources they need therefore deadlock is an extreme case of starvation with the criterion of extremeness being the total count of process unable to access the resource.
Deadlock and starvation are related as both are the cases of a process not having access to the resource.
Starvation does not lead to deadlock as a starving low priority process keeps waiting while other processes with high priority run to completion.
Rumor has it that when they shut down the IBM 7094 at MIT in 1973, they found a low-priority process that had been submitted in 1967 and had not yet been run.‡
‡Mentioned in the Operating System Concepts book by Abraham Silberschatz, Peter B. Galvin, Greg Gagne

Well, a is correct.
Starvation can lead to softlock or suboptimal performance (scheduling).
Since deadlock is a special case of starvation (all contenders are resource-starved) they are /not/ unrelated.

DeadLock : If two threads are waiting for each other and forever,such type of infinite waiting is called deadlock.Long waiting of a thread where waiting never ends is also called as deadlock.
Starvation : Long waiting of a thread where waiting ends at a certain point is called as deadlock.
For example low priority thread has to wait until completing all high priority threads,it may be long waiting but ends at certain point,is nothing but starvation.

Related

Deadlock situations

In a given set of processes if some of them can be executed and rest can't because of resources they are requesting for are being held by some other processes. Do we call such a situation as deadlock?
A deadlock situation occurs when none of the process's requests is fulfilled. Each process will be in circular wait, waiting for resources held by other processes.
Necessary Condition for deadlock is
Mutual exclusion
Hold and wait
No pre-emption
Circular wait
Here in this situation, some processes can execute and rest are not able to, so the processes that are not allocated resources will surely be in circular wait.
Hence so this situation can't be called clearly a deadlock situation.
You can go thorugh Operating systems text book by ABRAHAM SILBERSCHATZ (Wiley) 'The Dinasour Book'.

Does First-Come, First-Served (FCFS) Scheduling avoids deadlock?

Is it guaranteed that by using FCFS scheduling, the 'system' will not be in deadlock?
Thanks in advance!
The four conditions for a deadlock are:
Mutual exclusion: Irrespective of the scheduling algorithm, resources can be possessed by one process without sharing.
Hold and wait: In this condition, processes can wait for other resources while holding onto one resource. This is possible with any scheduling algorithm.
No preemption: FCFS is non-preemptive. That is, processes executing a critical section of their code cannot be forced to stop.
Circular wait: Processes are waiting for another process to release a resource in a circular fashion. This, again, is irrespective of the scheduling algorithm
Hence, FCFS does not guarantee that the system will not be in deadlock. If the four conditions are met, a deadlock will occur.
Deadlocks are caused by resource locking, not scheduling order. FCFS doesn’t guarantee that your threads will always grab resources in sequence, so the answer to your question is no.

Test and set lock(TSL) are deadlock free?

The concept of priority inversion is a case when TSL cannot be deadlock free then how one can say the TSL is deadlock free?
Lets first look at the definition of Deadlock.
Definition :- A set of processes are said to be in Deadlock, if they wait for happening of event caused by other processes in the same set. Here the processes in the set are in waiting/blocked state.
Now lets understand the Priority Inversion. Lets process A is a lower priority process running in critical section. and process B be higher priority process.
When the process B goes to ready state,it gets scheduled (goes to running state) and process A gets pre-empted by schedular as it has low priority. Here Process A goes to waiting/blocked state but it has already locked the critical section and process B is in running state which then goes in Busy waiting because the critical section is already locked by process A !!. This causes an infinite waiting. This case is basically called as SpinLock since process B is in running state and process A is in waiting/blocked state but according to definition of Deadlock all process should be in waiting/blocked state.
This is why TSL is said to be Deadlock free but its NOT free from SpinLock.
I hope this will be helpful :)

Relation between starvation freedom and bounded waiting

I have four questions regarding the relation between starvation and bounded waiting.
Does starvation-freedom imply deadlock-freedom?
My answer:
From here, the definition of starvation free is
Freedom from Starvation -:Every thread that attempts to acquire the lock eventually succeeds
Freedom from Deadlock -:f some thread attempts to acquire the lock, then some thread (not necessarily the thread referred to in the if statement; emphasis added) will succeed in acquiring the lock.
So I can state that starvation-freedom imply deadlock-freedom
Does starvation-freedom imply bounded-waiting?
Does bounded-waiting imply starvation-freedom?
Does bounded-waiting AND deadlock-freedom imply starvation-freedom?
I am stuck at point 2,3,4.
2.Does starvation-freedom imply bounded-waiting?
Starvation means that a thread will wait indefinitely. But starvation-freedom means the thread will not wait forever and will eventually get the resource. Bounded waiting means there is a limit to the number of times the threads are allowed to enter their critical sections after a thread has made request to enter its critical section and before that request is granted. So, its clear that starvation freedom implies bounded waiting, otherwise, some other thread can always be in Critical section and that contradicts starvation-freedom.
3.Does bounded-waiting imply starvation-freedom?
The answer is also yes because after the limit is crossed the waiting process will get the chance to enter critical section and therefore, no indefinitely waiting and therefore, starvation-freedom.
4.Does bounded-waiting AND deadlock-freedom imply starvation-freedom?
It is clear from the above explanation that it is also true.

What is priority inversion?

I've heard the phrase 'priority inversion' in reference to development of operating systems.
What exactly is priority inversion?
What is the problem it's meant to solve, and how does it solve it?
Imagine three (3) tasks of different priority: tLow, tMed and tHigh. tLow and tHigh access the same critical resource at different times; tMed does its own thing.
tLow is running, tMed and tHigh are presently blocked (but not in critical section).
tLow comes along and enters the critical section.
tHigh unblocks and since it is the highest priority task in the system, it runs.
tHigh then attempts to enter the critical resource but blocks as tLow is in there.
tMed unblocks and since it is now the highest priority task in the system, it runs.
tHigh can not run until tLow gives up the resource. tLow can not run until tMed blocks or ends. The priority of the tasks has been inverted; tHigh though it has the highest priority is at the bottom of the execution chain.
To "solve" priority inversion, the priority of tLow must be bumped up to be at least as high as tHigh. Some may bump its priority to the highest possible priority level. Just as important as bumping up the priority level of tLow, is dropping the priority level of tLow at the appropriate time(s). Different systems will take different approaches.
When to drop the priority of tLow ...
No other tasks are blocked on any of the resources that tLow has. This may be due to timeouts or the releasing of resources.
No other tasks contributing to the raising the priority level of tLow are blocked on the resources that tLow has. This may be due to timeouts or the releasing of resources.
When there is a change in which tasks are waiting for the resource(s), drop the priority of tLow to match the priority of the highest priority level task blocked on its resource(s).
Method #2 is an improvement over method #1 in that it shortens the length of time that tLow has had its priority level bumped. Note that its priority level stays bumped at tHigh's priority level during this period.
Method #3 allows the priority level of tLow to step down in increments if necessary instead of in one all-or-nothing step.
Different systems will implement different methods depending upon what factors they consider important.
memory footprint
complexity
real time responsiveness
developer knowledge
Hope this helps.
Priority inversion is a problem, not a solution. The typical example is a low priority process acquiring a resource that a high priority process needs, and then being preempted by a medium priority process, so the high priority process is blocked on the resource while the medium priority one finishes (effectively being executed with a lower priority).
A rather famous example was the problem experienced by the Mars Pathfinder rover: http://www.cs.duke.edu/~carla/mars.html, it's a pretty interesting read.
Suppose an application has three threads:
Thread 1 has high priority.
Thread 2 has medium priority.
Thread 3 has low priority.
Let's assume that Thread 1 and Thread 3 share the same critical section code
Thread 1 and thread 2 are sleeping or blocked at the beginning of the example. Thread 3 runs and enters a critical section.
At that moment, thread 2 starts running, preempting thread 3 because thread 2 has a higher priority. So, thread 3 continues to own a critical section.
Later, thread 1 starts running, preempting thread 2. Thread 1 tries to enter the critical section that thread 3 owns, but because it is owned by another thread, thread 1 blocks, waiting for the critical section.
At that point, thread 2 starts running because it has a higher priority than thread 3 and thread 1 is not running. Thread 3 never releases the critical section that thread 1 is waiting for because thread 2 continues to run.
Therefore, the highest-priority thread in the system, thread 1, becomes blocked waiting for lower-priority threads to run.
It is the problem rather than the solution.
It describes the situation that when low-priority threads obtain locks during their work, high-priority threads will have to wait for them to finish (which might take especially long since they are low-priority). The inversion here is that the high-priority thread cannot continue until the low-priority thread does, so in effect it also has low priority now.
A common solution is to have the low-priority threads temporarily inherit the high priority of everyone who is waiting on locks they hold.
[ Assume, Low process = LP, Medium Process = MP, High process = HP ]
LP is executing a critical section. While entering the critical section, LP must have acquired a lock on some object, say OBJ.
LP is now inside the critical section.
Meanwhile, HP is created. Because of higher priority, CPU does a context switch, and HP is now executing (not the same critical section, but some other code). At some point during HP's execution, it needs a lock on the same OBJ (may or may not be on the same critical section), but the lock on OBJ is still held by LP, since it was pre-empted while executing the critical section. LP cannot relinquish now because the process is in READY state, not RUNNING. Now HP is moved to BLOCKED / WAITING state.
Now, MP comes in, and executes its own code. MP does not need a lock on OBJ, so it keeps executing normally. HP waits for LP to release lock, and LP waits for MP to finish executing so that LP can come back to RUNNING state (.. and execute and release lock). Only after LP has released lock can HP come back to READY (and then go to RUNNING by pre-empting the low priority tasks.)
So, effectively it means that until MP finishes, LP cannot execute and hence HP cannot execute. So, it seems like HP is waiting for MP, even though they are not directly related through any OBJ locks. -> Priority Inversion.
A solution to Priority Inversion is Priority Inheritance -
increase the priority of a process (A) to the maximum priority of any
other process waiting for any resource on which A has a resource lock.
Let me make it very simple and clear. (This answer is based on the answers above but presented in crisp way).
Say there is a resource R and 3 processes. L, M, H. where p(L) < p(M) < p(H) (where p(X) is priority of X).
Say
L starts executing first and catch holds on R. (exclusive access to R)
H comes later and also want exclusive access to R and since L is holding it, H has to wait.
M comes after H and it doesn't need R. And since M has got everything it wants to execute it forces L to leave as it has high priority compared to L. But H cannot do this as it has a resource locked by L which it needs for execution.
Now making the problem more clear, actually the M should wait for H to complete as p(H) > p(M) which didn't happen and this itself is the problem. If many processes such as M come along and don't allow the L to execute and release the lock H will never execute. Which can be hazardous in time critical applications
And for solutions refer the above answers :)
Priority inversion is where a lower priority process gets ahold of a resource that a higher priority process needs, preventing the higher priority process from proceeding till the resource is freed.
eg:
FileA needs to be accessed by Proc1 and Proc2.
Proc 1 has a higher priority than Proc2, but Proc2 manages to open FileA first.
Normally Proc1 would run maybe 10 times as often as Proc2, but won't be able to do anything because Proc2 is holding the file.
So what ends up happening is that Proc1 blocks until Proc2 finishes with FileA, essentially their priorities are 'inverted' while Proc2 holds FileA's handle.
As far as 'Solving a problem' goes, priority inversion is a problem in itself if it keeps happening.
The worst case (most operating systems won't let this happen though) is if Proc2 wasn't allowed to run until Proc1 had. This would cause the system to lock as Proc1 would keep getting assigned CPU time, and Proc2 will never get CPU time, so the file will never be released.
Priority inversion occurs as such:
Given processes H, M and L where the names stand for high, medium and low priorities,
only H and L share a common resource.
Say, L acquires the resource first and starts running. Since H also needs that resource, it enters the waiting queue.
M doesn't share the resource and can start to run, hence it does. When L is interrupted by any means, M takes the running state since it has higher priority and it is running on the instant that interrupt happens.
Although H has higher priority than M, since it is on the waiting queue, it cannot acquire the resource, implying a lower priority than even M.
After M finishes, L will again take over CPU causing H to wait the whole time.
Priority Inversion can be avoided if the blocked high priority thread transfers its high priority to the low priority thread that is holding onto the resource.
A scheduling challenge arises when a higher-priority process needs to read or modify kernel data that are currently being accessed by a lower-priority process—or a chain of lower-priority processes. Since kernel data are typically protected with a lock, the higher-priority process will have to wait for a lower-priority one to finish with the resource. The situation becomes more complicated if the lower-priority process is preempted in favor of another process with a higher priority. As an example, assume we have three processes—L, M, and H—whose priorities follow the order L < M < H. Assume that process H requires resource R,which is currently being accessed by process L.Ordinarily,process H would wait for L to finish using resource R. However, now suppose that process M becomes runnable, thereby preempting process L. Indirectly, a process with a lower priority—process M—has affected how long process H must wait for L to relinquish resource R. This problem is known as priority inversion.It occurs only in systems with more than two priorities,so one solution is to have only two priorities.That is insufficient for most general-purpose operating systems, however. Typically these systems solve the problem by implementing a priority-inheritance protocol. According to this protocol, all processes that are accessing resources needed by a higher-priority process inherit the higher priority until they are finished with the resources in question.When they are finished,their priorities revert to their original values. In the example above, a priority-inheritance protocol would allow process L to temporarily inherit the priority of process H,thereby preventing process M from preempting its execution. When process L had finished using resource R,it would relinquish its inherited priority from H and assume its original priority.Because resource R would now be available, process H—not M—would run next.
Reference :ABRAHAM SILBERSCHATZ
Consider a system with two processes,H with high priority and L with low priority. The scheduling rules are such that H is run whenever it is in ready state because of its high priority. At a certain moment, with L in its critical region, H becomes ready to run (e.g., an I/O operation completes). H now begins busy waiting, but since L is never scheduled while H is running, L never gets the chance to leave the critical section. So H loops forever.
This situation is called Priority Inversion. Because higher priority process is waiting on lower priority process.