如何优化C++大数据开发中的数据压缩算法?

#include <iostream>
#include <string>
#include <vector>

std::vector<std::pair<int, char>> compress(const std::string& data) {
    std::vector<std::pair<int, char>> result;
    int window_size = 10; // 窗口大小
    int lookahead_buffer_size = 5; // 向前缓冲区大小

    int start = 0;
    while (start < data.length()) {
        int match_length = 0; // 最长匹配长度
        int match_pos = -1; // 最长匹配位置

        for (int i = std::max(0, start - window_size); i < start; ++i) {
            int length = 0;
            while (start + length < data.length() && data[i + length] == data[start + length]) {
                ++length;
            }
            if (length > match_length) {
                match_length = length;
                match_pos = i;
            }
        }

        if (match_pos != -1) {
            result.push_back({ match_length, data[start + match_length] });
            start += match_length + 1;
        } else {
            result.push_back({ 0, data[start] });
            ++start;
        }
    }

    return result;
}

int main() {
    std::string data = "abracadabra";
    std::vector<std::pair<int, char>> compressed_data = compress(data);

    for (const auto& pair : compressed_data) {
        std::cout << "(" << pair.first << ", " << pair.second << ")" << std::endl;
    }

    return 0;
}