Changes for page Concurrency

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62	62	* Reader-recorder vs Reader Writer??
63	63	* Philosopher problem → Study algorithms and their application in solutions.
64	64
65		-A few more suggestions from ChatGPT:
66		-
67		- Learning about concurrency algorithms and common concurrency problems is a great way to deepen your understanding of concurrent programming. Here's a list of key algorithms and problems, along with their typical solutions:
68		- Concurrency Algorithms:
69		-
70		- Producer-Consumer:
71		- Problem: How to handle scenarios where one or more threads (producers) are producing data and one or more threads (consumers) are consuming it.
72		- Solution: Use buffers, queues, semaphores, or condition variables to synchronize producers and consumers.
73		-
74		- Readers-Writers:
75		- Problem: How to manage access to a shared resource where some threads (readers) only read data, and others (writers) write data.
76		- Solution: Implement mechanisms to ensure that multiple readers can access the resource simultaneously, but writers have exclusive access.
77		-
78		- Dining Philosophers:
79		- Problem: A classic synchronization problem dealing with resource allocation and avoiding deadlocks.
80		- Solution: Strategies include resource hierarchy, arbitrator, or limiting the number of philosophers.
81		-
82		- Barriers:
83		- Problem: Synchronizing a group of threads to wait until they have all reached a certain point in their execution.
84		- Solution: Use barrier constructs that block threads until all have reached the barrier.
85		-
86		- Concurrency Problems and Solutions:
87		-
88		- Deadlocks:
89		- Problem: Occurs when multiple threads or processes are waiting on each other to release resources, and none of them can proceed.
90		- Solution: Deadlock prevention techniques (like resource ordering), deadlock avoidance (like Banker’s algorithm), and deadlock detection and recovery.
91		-
92		- Race Conditions:
93		- Problem: Occurs when the outcome of a program depends on the relative timing of threads or processes.
94		- Solution: Use mutual exclusion (mutexes), atomic operations, or transactional memory to ensure that only one thread can access the shared resource at a time.
95		-
96		- Livelocks:
97		- Problem: Threads or processes are actively performing concurrent operations, but these operations do not progress the state of the program.
98		- Solution: Careful algorithm design to ensure progress and avoid situations where processes continuously yield to each other.
99		-
100		- Starvation:
101		- Problem: A thread or process does not get the necessary resources to proceed, while others continue to be serviced.
102		- Solution: Implement fair locking mechanisms, priority scheduling, or resource allocation strategies that ensure all processes get a chance to proceed.
103		-
104		- Priority Inversion:
105		- Problem: A lower-priority thread holds a resource needed by a higher-priority thread, leading to the higher-priority thread waiting unexpectedly.
106		- Solution: Priority inheritance protocols where the lower-priority thread temporarily inherits the higher priority.
107		-
108		- Thread Interference:
109		- Problem: When multiple threads are accessing and modifying shared data, causing unexpected results.
110		- Solution: Ensure that critical sections of code that access shared resources are protected using synchronization mechanisms like locks.
111		-
112	112	### Watch out for dependencies between synchronized methods
113	113
114	114	* Dependencies between synchronized methods in concurrent code cause subtle bugs.