Seeking Advice on Implementing Data Structures in C++ for Efficient Memory Management

Hi everyone,

I'm currently working on a project in C++ that involves handling large datasets and implementing various data structures for efficient memory management. I've encountered a few challenges in designing and implementing these data structures, and I'm hoping to seek some advice and insights from the community to help me address these challenges.

Here's the scenario: I'm tasked with developing a data processing application in C++ that involves storing and manipulating extensive datasets consisting of structured and unstructured data. To accomplish this, I've been exploring different data structures such as arrays, linked lists, trees, and maps to efficiently organize and access the data.

However, I'm facing difficulties in selecting the most appropriate data structures for handling different types of data and optimizing memory usage. Specifically, I'm unsure about the trade-offs between different data structures in terms of memory overhead, access time, and overall performance.

As an example, let's consider the implementation of a linked list in C++. Below is a snippet of the LinkedList class that I've been working on:

#include <iostream>

template <typename T>
class Node {
public:
    T data;
    Node<T>* next;

    Node(T data) : data(data), next(nullptr) {}
};

template <typename T>
class LinkedList {
private:
    Node<T>* head;
public:
    LinkedList() : head(nullptr) {}

    // Methods for insertion, deletion, traversal, etc.
};

Despite my attempts to construct data structures such as linked lists, I am having trouble optimizing their performance and memory utilization for effective processing of huge datasets. I got some help from this scaler subject, but I'm still not sure about the best methods for controlling memory allocation and deallocation inside these data structures in order to avoid memory leaks and enhance overall application stability.

If anyone has expertise creating data structures in C++ for huge datasets and improving memory management, I would be grateful for any suggestions or ideas. Any advice, whether it's on choosing the correct data structures, optimizing memory utilization, or efficient memory allocation and deallocation, would be greatly appreciated.

Thank you

I hope for the help