You're tasked with designing a system for transmitting large volumes of textual data over a low-bandwidth network connection. How would you employ string compression techniques to minimize data transmission time and bandwidth usage?
- Apply run-length encoding to replace repeated consecutive characters with a count, reducing redundancy in the transmitted data.
- Implement lossy compression methods to achieve higher compression ratios, sacrificing some data accuracy for reduced transmission time.
- Use basic ASCII encoding to represent characters, ensuring minimal overhead during data transmission.
- Utilize lossless compression algorithms like Lempel-Ziv to identify and eliminate repetitive patterns in the text, ensuring efficient use of bandwidth.
In this scenario, employing lossless compression algorithms such as Lempel-Ziv is effective. Lempel-Ziv identifies and removes repetitive patterns in the text, optimizing bandwidth usage without compromising data integrity. This approach is commonly used in network protocols and file compression.
Loading...
Related Quiz
- What are some optimizations that can be applied to improve the efficiency of the Edit Distance algorithm?
- What is the time complexity of BFS when implemented on an adjacency list representation of a graph?
- Dijkstra's algorithm is used to find the _______ path between two nodes in a _______ graph.
- To avoid infinite loops in DFS, it's essential to implement _______ to track visited nodes.
- What does Longest Increasing Subsequence (LIS) refer to?