Greetings, aspiring coders! Today, we're going to delve deep into the complexities of data structures, specifically how to handle queries efficiently using JavaScript. This is a common problem often encountered in numerous data science and algorithmic problems. So let's gear up to unravel the mysteries of managing sorted sets and get our hands dirty with some interactive problem-solving!

Before delving into the task, let's understand how we can achieve sorted set functionality in JavaScript. Although JavaScript does not have a built-in data structure specifically for sorted sets, we can use arrays and objects to simulate this behavior.

To maintain a sorted set in JavaScript:

We can store elements in an array and keep it sorted upon every insertion or deletion. This approach will involve operations like using binary search to find the correct position for insertion or deletion:

• Inserting an element directly at the correct position using binary search takes O(N) in the worst case.
• Removing an element also involves finding their position using binary search, which takes O(N) in the worst case.
• Finding the smallest element greater than or equal to a given value can be achieved through a binary search, making this lookup operation O(log N).

Understanding these operations can help us utilize arrays and objects efficiently for our problem.

We are tasked with designing a JavaScript function named processQueries that can process a series of distinct requests or queries efficiently. The queries comprise a list of two integers — the type of operation and the operand.