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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 }
    

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