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maxwelld: Message Routing for Oberon (Inspired by Maxwell's Demon)

Entropy-reducing message router for Oberon - routes messages only to interested objects, avoiding wasteful broadcasts.

Inspired by Maxwell's Demon, this module efficiently routes messages to relevant objects instead of broadcasting to everyone, reducing computational "entropy" in your Oberon programs.

Why maxwelld?

Traditional Oberon message handling uses broadcast approach:

PROCEDURE Broadcast(VAR msg: Message);
VAR f: Figure;
BEGIN
  f := root;
  WHILE f # NIL DO f.handle(f, msg); f := f.next END
END Broadcast;

This forces every object to check if the message is relevant, wasting CPU cycles (especially with many objects).

The handler typically contains type checks:

PROCEDURE Handle(f: Figure; VAR msg: Message);
BEGIN
  CASE msg OF
    DrawMsg: (* ... *) |
    MoveMsg: (* ... *) |
    (* Other message types *)
  END
END Handle;

maxwelld solves this by acting as a smart router:

maxwelld.Register(object, MsgType, handler);
maxwelld.Send(MsgType, msg); (* Only relevant objects notified *)

Key Features

  • 🚀 Efficient message routing - No wasteful broadcasts

  • 🔗 Decoupled architecture - Objects don't know about each other

  • 🧩 Extensible design - Add new message types anytime

  • ⚡️ Lightweight - Pure Oberon implementation

  • 🔒 Type-safe - Oberon's type system ensures correctness

Installation

Add maxwelld.Mod to your Oberon project

Import in your modules:

IMPORT maxwelld;

Usage

  1. Create a Router Instance
VAR
  router: maxwelld.Router;
BEGIN
  router := maxwelld.Create(); (* Create new router instance *)
END;
  1. Define Message Types
CONST
  MoveMsgType = 0;
  DrawMsgType = 1;

TYPE
  MoveMsg* = POINTER TO MoveMsgDesc;
  MoveMsgDesc* = RECORD (maxwelld.MessageDesc)
    dx*, dy*: LONGINT;
  END;

  DrawMsg* = POINTER TO DrawMsgDesc;
  DrawMsgDesc* = RECORD (maxwelld.MessageDesc)
    color*: LONGINT;
  END;
  1. Create Object Handlers
PROCEDURE HandleMove(msg: maxwelld.Message);
VAR
  move: MoveMsg;
BEGIN
  move := msg(MoveMsg);   (* Direct type guard *)
END HandleMove;
  1. Register Objects with Router
(* Register using router instance *)
router.Register(router, MoveMsgType, HandleMove);
  1. Send Messages Through Router
VAR
  move: MoveMsg;
BEGIN
  NEW(move);
  move.dx := 10; move.dy := 20;
  router.Send(router, MoveMsgType, move);
END;

Complete workflow example:

MODULE PhysicsSystem;
IMPORT maxwelld, Out;

CONST
  CollisionMsgType = 2;

TYPE
  CollisionMsg* = POINTER TO CollisionMsgDesc;
  CollisionMsgDesc* = RECORD (maxwelld.MessageDesc)
    objectId*, force*: LONGINT;
  END;

VAR
  physicsRouter: maxwelld.Router;

PROCEDURE HandleCollision(msg: maxwelld.Message);
VAR
  col: CollisionMsg;
BEGIN
  col := msg(CollisionMsg);
  Out.String("Collision with object ");
  Out.Int(col.objectId, 0);
  Out.String(", force: ");
  Out.Int(col.force, 0);
  Out.Ln;
END HandleCollision;

PROCEDURE Init;
BEGIN
  physicsRouter := maxwelld.Create();
  physicsRouter.Register(physicsRouter, CollisionMsgType, HandleCollision);
END Init;

PROCEDURE SimulateCollision(objectId, force: LONGINT);
VAR
  colMsg: CollisionMsg;
BEGIN
  NEW(colMsg);
  colMsg.objectId := objectId;
  colMsg.force := force;
  physicsRouter.Send(physicsRouter, CollisionMsgType, colMsg);
END SimulateCollision;

BEGIN
  Init;
  SimulateCollision(42, 100);
END PhysicsSystem.

Performance Analysis: Broadcast vs Selective Routing

Fundamental Complexity Difference

Broadcast Approach (Traditional):

WHILE f # NIL DO
  f.handle(f, msg);  (* Every object checks message type *)
  f := f.next
END

Complexity: Always O(N) where N = total objects

  • Every object receives every message

  • Each handler must check message type

  • Wasted cycles scale with system size

maxwelld Approach (Selective):

sub := router.subscribers[msgType];
WHILE sub # NIL DO
  sub.handle(msg);  (* Only interested handlers *)
  sub := sub.next;
END
  • Complexity: O(S) where S = subscribers for this message type

  • Only relevant handlers notified

  • No message type checks needed

  • Execution scales with actual interest

Mathematical Advantage

The performance difference comes from two key optimizations:

  1. Eliminated Type Checks

    Removes expensive CASE/IF statements from handlers

  2. Focused Notification

    Only relevant handlers are executed

Performance Equations:

Broadcast cost = N × (type_check_cost + handler_cost) maxwelld cost = S × handler_cost + lookup_cost

Where:

  • N = total handlers in system

  • S = subscribers for this message type

  • type_check_cost = message type checking overhead

  • handler_cost = actual processing work

  • lookup_cost = constant-time router access

Speedup Potential:

          N × type_check_cost
Speedup = ───────────────────
          S

Variables Explained

Variable Description Typical Value
N Total handlers in system 50-5000
S Subscribers for this message type 1-200
type_check_cost Message type checking overhead 5-50 cycles
handler_cost Actual message processing work 100-10,000 cycles
lookup_cost Router array access time 1-5 cycles

Real-World Performance

Scenario N S Broadcast Cost maxwelld Cost Speedup
Focused Message 100 5 100×(50+100) = 15,000c 5×100 + 3 = 503c 29.8x
Common Message 100 40 100×(50+100) = 15,000c 40×100 + 3 = 4,003c 3.7x
Universal Message 100 100 100×(50+100) = 15,000c 100×100 + 3 = 10,003c 1.5x
GUI: MouseClick 1000 5 1000×(50+100) = 150,000c 5×100 + 3 = 503c 298x
Game: Physics 5000 50 5000×(50+100) = 750,000c 50×100 + 3 = 5,003c 150x

Key Insights

  1. Type Check Elimination:

    • Saves 5-50 cycles per handler
    • Becomes significant at scale (1000×50 = 50,000 cycles saved)
  2. Focused Notification:

    • Avoids N-S unnecessary handler executions
    • Example: 1000 handlers - 5 subscribers = 995 executions saved
  3. Cache Locality Bonus:

    • Broadcast: Random memory access (cache misses)
    • maxwelld: Linear list traversal (cache friendly)
    • Adds 2-3× speedup beyond equations
  4. Scalability:

    Broadcast cost: O(N) - Linear growth
    maxwelld cost: O(S) - Constant for fixed interest
    
    N=1000 -> Broadcast: 150,000c
    N=2000 -> Broadcast: 300,000c (2× slower)
    N=2000 (maxwelld): Same as N=1000 if S unchanged
    
    

When to Expect Speedups

Condition Speedup Range Why
N > 100, S/N < 10% 10-100x O(N) vs O(S) difference
Complex type checks (>20 cycles) +5-20x Multiplicative effect
Large systems (>500 handlers) +2-5x Cache advantage amplifies
S ≈ N <2x Limited optimization potential
Small systems (<20 handlers) 0.5-2x Fixed overhead dominates

Bottom Line

The speedup equation shows maxwelld provides:

  • Exponential gains when S << N
  • Linear reduction in wasted computation
  • Massive savings in large systems
  • Most benefit for diverse message types

For maximum benefit, use maxwelld when:

  • Your system has >50 handlers
  • Messages have <50% subscription rate
  • Type checks are non-trivial (>10 cycles)
  • Message types are diverse (>5 types)

License

GPL

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observer pattern like module / replaces unnecessary message broadcasting.

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