Ecet360 ILab 4 Skeleton Include Cstdlib Include Ctime

Ecet360 Ilab 4 Skeletoninclude Cstdlibinclude Ctime

Develop a simulation of memory allocation and deallocation using a specific technique, tracking performance metrics such as fragmentation, traversal counts, and denial percentages. Implement a linked list structure representing memory units, with functionality to allocate and deallocate memory for processes based on random requests, and analyze efficiency through statistical measures.

Paper For Above instruction

The simulation of memory management strategies is a fundamental aspect within operating systems, providing essential insights into how physical memory is allocated and freed dynamically. This paper discusses the implementation of a memory allocation simulation in C++ focusing on the First Fit technique, with an emphasis on analyzing its performance through metrics such as fragmentation, traversal times, and denial rates, under hypothetical constraints of a 256K memory divided into units of 2K each, totaling 128 units.

Memory management involves allocating segments of the available memory to processes based on their requests, which in this simulation range from 3 to 10 units. These requests are randomly generated, and processes are also randomly deallocated, mimicking real-world non-deterministic behavior. The core data structure utilized is a linked list of nodes, where each node represents either an allocated block or a hole (free space), with process IDs indicating allocation status. An unoccupied hole is represented by a process ID of -1, and the size of the hole is tracked via the node’s 'num_units' attribute.

The simulation initializes with a single large hole containing all available memory units. Subsequent requests randomly choose to allocate or deallocate memory. For allocation, the First Fit algorithm traverses the list to find the first hole large enough to fulfill the request. If such a hole exists, it is split if necessary, and a new node with the process ID and size is inserted. Allocation success results in incrementing counts of successful allocations and traversals and updating total fragments. If no suitable hole is found, the request is denied, updating the denial percentage metric.

Deallocation involves selecting a currently allocated process randomly, removing its node from the list, and merging adjacent holes to minimize fragmentation. Fragmentation is tracked by counting holes of size 1 or 2 units. Over multiple requests—here, 10,000—the program computes average fragments, average traversal steps during allocation, and the percentage of denied requests, providing a quantitative measure of the efficiency of the First Fit approach in this simulated environment.

Furthermore, the simulation’s output includes detailed statistical analysis, aiding comparisons with other techniques such as Best Fit or Next Fit, which could be implemented similarly with slight modifications to the allocation logic. The final deliverables include the C++ source code, executable files, operational instructions, and an analytical report discussing the performance outcomes observed through the simulation. This comprehensive approach facilitates understanding of how different algorithms manage memory fragmentation and allocation overhead under high-demand conditions.

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