Operating System: Multi-Processor scheduling, Multi-Core issues, Processor affinity and Load balancing

1. Multi- Processor Scheduling:
Multi-core issues, Processor
affinity, load balancing
PRESENTED BY
SHASHANK KAPOOR
CHANDRADEEP GAUTAM

2. Scheduling
 The process scheduling is the activity of the process manager
that handles the removal of the running process from the CPU
and the selection of another process on the basis of a particular
strategy.

3. Multi- Processor Scheduling
 Multi-Processor scheduling is an NP-hard optimization problem.
 The problem statement is: "Given a set J of jobs where
job ji has length li and a number of processors m, what is the
minimum possible time required to schedule all jobs
in J on m processors such that none overlap?“

4. What is Multi- Processor Scheduling ?
 In multiple-processor scheduling multiple CPU’s are available
 Load Sharing becomes possible, as distributed among these
available processor.
 Multiple processor scheduling is more complex as compared to
single processor scheduling.
 Multi-Processor scheduling is of two types:
# Asymmetric Scheduling
# Symmetric Scheduling

5. Multi- Processor Scheduling:
Asymmetric Approach
In this scheduling approach, all scheduling decisions, I/O processing
and resource allocation are handled by a single processor which is
called the Master Processor and the other processors executes only
the user code. This is simple and reduces the need of data sharing. This
entire scenario is called Asymmetric Multiprocessing.

6. Multi- Processor Scheduling:
Symmetric Approach
A second approach uses Symmetric Multiprocessing where each
processor is self scheduling. All processes may be in a common
ready queue or each processor may have its own private queue for
ready processes. The scheduling proceeds further by having the
scheduler for each processor examine the ready queue and select
a process to execute.

7. Multi-Core Issues
 Locking system
As we know that the resources are shared in the multiprocessor
system so there is a need to protect these resources for safe access
among the multiple processors. The main purpose of locking scheme
is to serialize access of the resources by the multiple processors.
 Shared data
When the multiple processor access the same data at the same time
then there may be a chance of inconsistency of data so to protect this
we have to use some protocols or locking scheme.
 Cache coherence
It is the shared resource data which is stored in the multiple local
caches. Suppose there are two clients have a cached copy of
memory and one client change the memory block and the other client
could be left with invalid cache without notification of the change so
this kind of conflict can be resolved by maintaining a coherence view
of the data.

8. Processor Affinity
When a process runs on a specific processor there are certain effects
on the cache memory. The data most recently accessed by the process
populate the cache for the processor and as a result successive
memory access by the process are often satisfied in the cache memory.
Now if the process migrates to another processor, the contents of the
cache memory must be invalidated for the first processor and the cache
for the second processor must be repopulated. Because of the high
cost of invalidating and repopulating caches, most of the
SMP(symmetric multiprocessing) systems try to avoid migration of
processes from one processor to another and try to keep a process
running on the same processor. This is known as PROCESSOR
AFFINITY.
 There are two types of processor affinity:
# Soft Affinity
# Hard Affinity

9. Processor Affinity: Soft Affinity
 When an operating system has a policy of attempting
to keep a process running on the same processor but
not guaranteeing it will do so, this situation is called
soft affinity.

10. Processor Affinity: Hard Affinity
 Some systems such as Linux also provide some
system calls that support Hard Affinity which allows a
process to migrate between processors.

11. Load Balancing
 Load Balancing is the phenomena which keeps
the workload evenly distributed across all processors in an
SMP system. Load balancing is necessary only on systems
where each processor has its own private queue of process
which are eligible to execute. Load balancing is unnecessary
because once a processor becomes idle it immediately extracts
a runnable process from the common run queue. On
SMP(symmetric multiprocessing), it is important to keep the
workload balanced among all processors to fully utilize the
benefits of having more than one processor else one or more
processor will sit idle while other processors have high
workloads along with lists of processors awaiting the CPU.
 There are two general approaches to load balancing :
# Push Migration
# Pull Migration

12.  In push migration a task routinely checks the load on each
processor and if it finds an imbalance then it evenly distributes
load on each processors by moving the processes from
overloaded to idle or less busy processors.
Load Balancing : Push Migration

13.  Pull Migration occurs when an idle processor pulls a waiting task
from a busy processor for its execution.
Load Balancing : Pull Migration