frumos

frumos

Hello,

I need to write an Elixir function which will evenly distribute unbalanced load over set of tasks (nodes). Lets say I have following input:

number_nodes = 3
weighted_tasks = [10, 10, 10, 7, 6, 5, 5, 2, 2, 1, 1, 1]
node_capacity = 20 # as sum of all tasks/number_nodes

and I need to get this output (one of other possible combinations)

[[10, 10], [10, 7, 2, 1], [6, 5, 5, 2, 1, 1]]

which mean that load weight per node is 20 for all 3 nodes and balanced.

I am trying Enum.chunck_by() function but not able implement it correctly, here is my attempt:

  def chuck_f(node_capacity) do
    chunk_fun = fn element, acc ->
      acc_capacity = Enum.sum(acc)
      pending_capacity = acc_capacity + element

      if pending_capacity < node_capacity do
        # do not yet emit given chuck, but remove this element from the input list as it
        # is added to the chuck, but how to do that?
        {:cont, [element | acc]}
      else
        # if no more element in input list present emit chunck
        # if there are some element just skip current one and do not emit chunck
        # but how to get it?
        {:cont, [acc], []}
      end
    end
    chunk_fun
  end


  def after_iteration_fun() do
    after_fun = fn acc ->
        case acc do
          [] -> {:cont, []}
          acc -> {:cont, acc, []}
        end
      end
    after_fun
  end

  def distribute_load do
    input = [10, 10, 10, 7, 6, 5, 5, 2, 2, 1, 1, 1]
    node_capacity = 20
    input |> Enum.chunk_while([], chuck_f(node_capacity), after_iteration_fun())
  end

which producing result:

iex(109)> distribute_load
[[[10]], [[7, 10]], [1, 1, 1, 2, 2, 5, 5]]

which is not what I need.

I have this algorithm implement in Java with this pseudo code:

partitions_list = compute_list_of_partiton_with_load_sort_desc # this is already done in Elixir
cluster_load = compute_total_cluster_load
one_node_load = cluster_load/num_of_nodes


#for all nodes in cluster
for node in node_list {
    
    # initiate node with no partitions yet and full capacity
    node.partion_list = []
    node.capacity = one_node_load

    for partion in partition_list {

        if partion.load <= node.capacity {	
            node.partion_list.add(partition)
            recompute_node_capacity(node, partition)
            partition_list.remove(partition)

        } 
    }
}


def recompute_node_capacity(node, partitions) do
    new_capacit = node.capacity - partition.load
    
    node.capacity = new_capacity # ugly node's state mutation
end

and this actual draft Java impl where I can easily mutate map/list just in place which give me ability to achieve the goal:

@Test
    public void balanceLoad() {
        
        List<Integer> tasks = new ArrayList<>(); 
        tasks.add(10);
        tasks.add(10);
        tasks.add(10);
        tasks.add(7);
        tasks.add(6);
        tasks.add(5);
        tasks.add(5);
        tasks.add(2);
        tasks.add(2);
        tasks.add(1);
        tasks.add(1);
        tasks.add(1);        
        
        Map<Integer, List<Integer>> nodes = new HashMap<>();
        nodes.put(1, new ArrayList<>());
        nodes.put(2, new ArrayList<>());
        nodes.put(3, new ArrayList<>());
        
        
        System.out.println("Before: " + nodes);
                
        for (int nodeKey : nodes.keySet()) {
            List<Integer> nodeList = new ArrayList<>(tasks);
            List<Integer> nodeTasks = nodes.get(nodeKey);
            
            for (Iterator<Integer> iterator = nodeList.iterator(); iterator.hasNext();) {
                Integer task = iterator.next();
         
                if(task <= nodeCapacity(nodeTasks, 20)) {
                    nodeTasks.add(task);
                    iterator.remove();
                    tasks.remove(task);
                }
            }
        }
        System.out.println("After: " + nodes);
    }
    
    
    private int nodeCapacity(List<Integer> nodeTasks, int nodeCapCapacity) {
        int current = nodeTasks.stream().reduce(0, Integer::sum);
        return nodeCapCapacity - current;
    }

giving me this result:

Before: {1=, 2=, 3=}
After: {1=[10, 10], 2=[10, 7, 2, 1], 3=[6, 5, 5, 2, 1, 1]}

Can anybody assist to achieve similar in Elixir? Thank you for your time.

Showing Posts 1 to 5

fuelen

fuelen

Hello,
here is my rewriting your pseudo code

number_nodes = 3
weighted_tasks = [10, 10, 10, 7, 6, 5, 5, 2, 2, 1, 1, 1]
node_capacity = trunc(Enum.sum(weighted_tasks) / number_nodes)

1..number_nodes
|> Enum.map(fn index -> {index, %{capacity: node_capacity, tasks: []}} end)
|> Enum.map_reduce(
  weighted_tasks,
  fn {node_index, node}, tasks ->
    {node, tasks} =
      Enum.reduce(tasks, {node, []}, fn task, {node, new_tasks} ->
        if task <= node.capacity do
          {%{capacity: node.capacity - task, tasks: [task | node.tasks]}, new_tasks}
        else
          {node, [task | new_tasks]}
        end
      end)

    {{node_index, node}, Enum.reverse(tasks)}
  end
)
|> IO.inspect(charlists: :as_lists)
# output:
{[
   {1, %{capacity: 0, tasks: [10, 10]}},
   {2, %{capacity: 0, tasks: [1, 2, 7, 10]}},
   {3, %{capacity: 0, tasks: [1, 1, 2, 5, 5, 6]}}
 ], []}

frumos

frumos OP

Hello Artur and many thanks to you, this is solution I was seeking for.

lud

lud

Hi, I need exercism so I gave it a try with another approach. Hope you like it too :slight_smile:

defmodule M do
  def run() do
    number_nodes = 3
    weighted_tasks = [10, 10, 10, 7, 6, 5, 5, 2, 2, 1, 1, 1]
    node_capacity = trunc(Enum.sum(weighted_tasks) / number_nodes)

    nodes = List.duplicate(%{capacity: node_capacity, tasks: []}, number_nodes)

    nodes =
      Enum.reduce(weighted_tasks, nodes, fn
        task, [%{capacity: n} = node | nodes] when n >= task ->
          insert(%{node | capacity: n - task, tasks: [task | node.tasks]}, nodes)

        task, nodes when is_integer(task) and is_list(nodes) ->
          nodes
      end)

    # If you want the indexes as in @fuelen solution
    Enum.zip(1..number_nodes, nodes)
  end

  defp insert(%{capacity: cap} = lesser, [%{capacity: n} = candidate | others]) when cap < n,
    do: [candidate | insert(lesser, others)]

  defp insert(node, nodes),
    do: [node | nodes]
end
frumos

frumos OP

Thank you very much for taking a look, i’ll try this solution as well later as I already incorporated previous solution and just move on with testing other aspects. Thank you.

lud

lud

No worries, it was just an exercise to me, the other solution is good to keep :slight_smile:

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