Least Slack Time (LST) scheduling Algorithm in real-time systems
Least Slack Time (LST) is a dynamic priority-driven scheduling algorithm used in real-time systems.
In LST, all the tasks in the system are assigned some priority according to their slack time. The task which has the least slack time has the highest priority and vice versa.
Attention reader! Don’t stop learning now. Get hold of all the important CS Theory concepts for SDE interviews with the CS Theory Course at a student-friendly price and become industry ready.
Priorities to the tasks are assigned dynamically.
Slack time can be calculated using the equation:
slack_time = ( D - t - e' )
Here D : Deadline of the task
t : Real time when the cycle starts.
e’ : Remaining Execution Time of the task.
The task which has the minimal slack time is dispatched to the CPU for its execution as it has the highest priority.
Hyper Period (HP) is the time period of the Gantt chart which is equal to the LCM of the periods of all the tasks in the system.
At time t, the slack of a task is equivalent to ( d-t ) minus the time required to complete the remaining portion of the task.
It is a complex algorithm, and that is why it requires extra information like execution times and deadlines. Least Slack Time scheduling algorithm works optimally only when preemption is allowed. It can produce a feasible schedule if and only if a feasible schedule exists for the set of tasks that are runnable.
It is different from the Earliest Deadline First because it requires execution times of the task which are to be scheduled. Hence it is sometimes impractical to implement the Least Slack Time scheduling algorithm because the burst time of the tasks in real-time systems is difficult to predict.
Unlike EDF (Earliest Deadline First) scheduling algorithm, LST may under-utilize the CPU, thus decreasing the efficiency and throughput.
If two or more tasks which are ready for execution in LST, and the tasks have the same slack time or laxity value, then they are dispatched to the processor according to the FCFS (First Come First Serve) basis.
- At time t=0: Only task T1, has arrived. T1 is executed till time t=4.
- At time t=4: T2 has arrived.
Slack time of T1: 33-4-6=23
Slack time of T2: 28-4-3=21
Hence T2 starts to execute till time t=5 when T3 arrives.
- At time t=5:
Slack Time of T1: 33-5-6=22
Slack Time of T2: 28-5-2=21
Slack Time of T3: 29-5-10=12
Hence T3 starts to execute till time t=13
- At time t=13:
Slack Time of T1: 33-13-6=14
Slack Time of T2: 28-13-2=13
Slack Time of T3: 29-13-2=14
Hence T2 starts to execute till time t=15
- At time t=15:
Slack Time of T1: 33-15-6=12
Slack Time of T3: 29-15-2=12
Hence T3 starts to execute till time t=16
- At time t=16:
Slack Time of T1: 33-16-6=11
Slack Time of T3:29-16-=12
Hence T1 starts to execute till time t=18 and so on..