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1606. Find Servers That Handled Most Number of Requests

Description

You have k servers numbered from 0 to k-1 that are being used to handle multiple requests simultaneously. Each server has infinite computational capacity but cannot handle more than one request at a time. The requests are assigned to servers according to a specific algorithm:

  • The ith (0-indexed) request arrives.
  • If all servers are busy, the request is dropped (not handled at all).
  • If the (i % k)th server is available, assign the request to that server.
  • Otherwise, assign the request to the next available server (wrapping around the list of servers and starting from 0 if necessary). For example, if the ith server is busy, try to assign the request to the (i+1)th server, then the (i+2)th server, and so on.

You are given a strictly increasing array arrival of positive integers, where arrival[i] represents the arrival time of the ith request, and another array load, where load[i] represents the load of the ith request (the time it takes to complete). Your goal is to find the busiest server(s). A server is considered busiest if it handled the most number of requests successfully among all the servers.

Return a list containing the IDs (0-indexed) of the busiest server(s). You may return the IDs in any order.

 

Example 1:

Input: k = 3, arrival = [1,2,3,4,5], load = [5,2,3,3,3] 
Output: [1] 
Explanation: 
All of the servers start out available.
The first 3 requests are handled by the first 3 servers in order.
Request 3 comes in. Server 0 is busy, so it's assigned to the next available server, which is 1.
Request 4 comes in. It cannot be handled since all servers are busy, so it is dropped.
Servers 0 and 2 handled one request each, while server 1 handled two requests. Hence server 1 is the busiest server.

Example 2:

Input: k = 3, arrival = [1,2,3,4], load = [1,2,1,2]
Output: [0]
Explanation: 
The first 3 requests are handled by first 3 servers.
Request 3 comes in. It is handled by server 0 since the server is available.
Server 0 handled two requests, while servers 1 and 2 handled one request each. Hence server 0 is the busiest server.

Example 3:

Input: k = 3, arrival = [1,2,3], load = [10,12,11]
Output: [0,1,2]
Explanation: Each server handles a single request, so they are all considered the busiest.

 

Constraints:

  • 1 <= k <= 105
  • 1 <= arrival.length, load.length <= 105
  • arrival.length == load.length
  • 1 <= arrival[i], load[i] <= 109
  • arrival is strictly increasing.

Solutions

  • class Solution {
    public List<Integer> busiestServers(int k, int[] arrival, int[] load) {
        int[] cnt = new int[k];
        PriorityQueue<int[]> busy = new PriorityQueue<>(Comparator.comparingInt(a -> a[0]));
        TreeSet<Integer> free = new TreeSet<>();
        for (int i = 0; i < k; ++i) {
            free.add(i);
        }
        for (int i = 0; i < arrival.length; ++i) {
            int start = arrival[i];
            int end = start + load[i];
            while (!busy.isEmpty() && busy.peek()[0] <= start) {
                free.add(busy.poll()[1]);
            }
            if (free.isEmpty()) {
                continue;
            }
            Integer server = free.ceiling(i % k);
            if (server == null) {
                server = free.first();
            }
            ++cnt[server];
            busy.offer(new int[] {end, server});
            free.remove(server);
        }
        int mx = 0;
        for (int v : cnt) {
            mx = Math.max(mx, v);
        }
        List<Integer> ans = new ArrayList<>();
        for (int i = 0; i < k; ++i) {
            if (cnt[i] == mx) {
                ans.add(i);
            }
        }
        return ans;
    }
}

  • class Solution {
public:
    vector<int> busiestServers(int k, vector<int>& arrival, vector<int>& load) {
        set<int> free;
        for (int i = 0; i < k; ++i) free.insert(i);
        priority_queue<pair<int, int>, vector<pair<int, int>>, greater<>> busy;
        vector<int> cnt(k);
        for (int i = 0; i < arrival.size(); ++i) {
            int start = arrival[i], end = start + load[i];
            while (!busy.empty() && busy.top().first <= start) {
                free.insert(busy.top().second);
                busy.pop();
            }
            if (free.empty()) continue;
            auto p = free.lower_bound(i % k);
            if (p == free.end()) p = free.begin();
            int server = *p;
            ++cnt[server];
            busy.emplace(end, server);
            free.erase(server);
        }
        int mx = *max_element(cnt.begin(), cnt.end());
        vector<int> ans;
        for (int i = 0; i < k; ++i)
            if (cnt[i] == mx)
                ans.push_back(i);
        return ans;
    }
};

  • from sortedcontainers import SortedList


class Solution:
    def busiestServers(self, k: int, arrival: List[int], load: List[int]) -> List[int]:
        free = SortedList(range(k))
        busy = []
        cnt = [0] * k
        for i, (start, t) in enumerate(zip(arrival, load)):
            while busy and busy[0][0] <= start:
                free.add(busy[0][1])
                heappop(busy)
            if not free:
                continue
            j = free.bisect_left(i % k)
            if j == len(free):
                j = 0
            server = free[j]
            cnt[server] += 1
            heappush(busy, (start + t, server))
            free.remove(server)

        mx = max(cnt)
        return [i for i, v in enumerate(cnt) if v == mx]


  • func busiestServers(k int, arrival, load []int) (ans []int) {
	free := redblacktree.NewWithIntComparator()
	for i := 0; i < k; i++ {
		free.Put(i, nil)
	}
	busy := hp{}
	cnt := make([]int, k)
	for i, t := range arrival {
		for len(busy) > 0 && busy[0].end <= t {
			free.Put(busy[0].server, nil)
			heap.Pop(&busy)
		}
		if free.Size() == 0 {
			continue
		}
		p, _ := free.Ceiling(i % k)
		if p == nil {
			p = free.Left()
		}
		server := p.Key.(int)
		cnt[server]++
		heap.Push(&busy, pair{t + load[i], server})
		free.Remove(server)
	}
	mx := slices.Max(cnt)
	for i, v := range cnt {
		if v == mx {
			ans = append(ans, i)
		}
	}
	return
}

type pair struct{ end, server int }
type hp []pair

func (h hp) Len() int           { return len(h) }
func (h hp) Less(i, j int) bool { return h[i].end < h[j].end }
func (h hp) Swap(i, j int)      { h[i], h[j] = h[j], h[i] }
func (h *hp) Push(v any)        { *h = append(*h, v.(pair)) }
func (h *hp) Pop() any          { a := *h; v := a[len(a)-1]; *h = a[:len(a)-1]; return v }

  • function busiestServers(k: number, arrival: number[], load: number[]): number[] {
    const free = new PriorityQueue<number>((a, b) => a - b);
    for (let i = 0; i < k; ++i) {
        free.enqueue(i);
    }
    const busy = new PriorityQueue<[number, number]>((a, b) => a[0] - b[0]);
    const cnt: number[] = Array(k).fill(0);
    for (let i = 0; i < arrival.length; ++i) {
        const start = arrival[i];
        const end = start + load[i];
        while (!busy.isEmpty() && busy.front()![0] <= start) {
            const server = busy.dequeue()![1];
            free.enqueue(i + ((server - (i % k) + k) % k));
        }
        if (free.isEmpty()) {
            continue;
        }
        const server = free.dequeue()! % k;
        ++cnt[server];
        busy.enqueue([end, server]);
    }
    let mx = 0;
    for (const v of cnt) {
        mx = Math.max(mx, v);
    }
    const ans: number[] = [];
    for (let i = 0; i < k; ++i) {
        if (cnt[i] === mx) {
            ans.push(i);
        }
    }
    return ans;
}


  • use std::cmp::Reverse;
use std::collections::{BTreeSet, BinaryHeap};

impl Solution {
    pub fn busiest_servers(k: i32, arrival: Vec<i32>, load: Vec<i32>) -> Vec<i32> {
        let mut free: BTreeSet<i32> = (0..k).collect();
        let mut busy = BinaryHeap::new();
        let mut cnt = vec![0; k as usize];
        for i in 0..arrival.len() {
            let start = arrival[i];
            let end = start + load[i];
            loop {
                match busy.peek() {
                    Some(&Reverse((t, server))) if t <= start => {
                        busy.pop();
                        free.insert(server);
                    }
                    _ => break,
                }
            }
            if free.is_empty() {
                continue;
            }
            let j = i as i32 % k;
            let server = match free.range(j..).next() {
                Some(&server) => server,
                None => *free.iter().next().unwrap(),
            };
            cnt[server as usize] += 1;
            busy.push(Reverse((end, server)));
            free.remove(&server);
        }
        let mx = *cnt.iter().max().unwrap();
        (0..k).filter(|&i| cnt[i as usize] == mx).collect()
    }
}

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