Load Balancing & Task Delegation
Distributed Systems / Infrastructure

Load Balancing &
Task Delegation Logic

Intelligent distribution of work across nodes — keeping systems healthy, fast, and fault-tolerant at every scale.

⚡ Live Load Balancing Simulator
// System ready. Dispatch tasks to begin.

Balancing Algorithms

Click any algorithm to activate it in the simulator above.

🔄
Round Robin
Cycles requests evenly through all available servers in order.
📉
Least Connections
Sends new tasks to the server with the fewest active connections.
⚖️
Weighted Round Robin
Assigns more traffic to higher-capacity servers by weight ratio.
🔑
IP Hash
Routes each client IP consistently to the same server for session affinity.
🎲
Random
Distributes requests to a randomly selected healthy server.
Power of Two Choices
Picks 2 random servers, sends to the less loaded — low cost, high gain.
Core Concept

What Is Load Balancing?

Load balancing distributes incoming network traffic or computational tasks across multiple backend resources — servers, containers, or worker processes — to prevent any single node from becoming a bottleneck. The result is higher availability, lower latency, and elastic scalability.

  • Prevents single points of failure
  • Enables horizontal scaling on demand
  • Improves throughput and response times
  • Supports rolling updates with zero downtime
Delegation

Task Delegation Logic

Task delegation governs how work is handed off from an orchestrator to workers. Good delegation logic considers worker capability, current load, task priority, and expected completion time before assignment.

  • Priority queues — high-priority tasks preempt lower ones
  • Affinity rules — pin tasks to capable workers
  • Deadline scheduling — meet SLA time constraints
  • Work stealing — idle workers pull from busy queues
0
Tasks Dispatched
4
Active Servers
0%
Avg Load
RR
Algorithm

Task Delegation Decision Matrix

Scenario Strategy Rationale Status
Uniform stateless requestsRound RobinEven distribution, zero state requiredOptimal
Long-running jobsLeast ConnectionsAvoids overloading slow finishersOptimal
Mixed-capacity nodesWeighted RRRespects hardware asymmetryOptimal
Session-dependent usersIP Hash / StickyPreserves session data localityContext-dep.
CPU-intensive batchCapacity-awareMatch task weight to worker capacityOptimal
Node failure detectedHealth-check bypassRoute around unhealthy nodes instantlyFailover
Traffic spike / burstAuto-scale + RRProvision new nodes & rebalanceScaling
Layer 4

Transport-Level Balancing

Operates at TCP/UDP level. Routes based on IP address and port without inspecting packet contents. Extremely fast with minimal overhead — ideal for raw throughput.

Layer 7

Application-Level Balancing

Reads HTTP headers, cookies, and URLs to make smarter routing decisions. Enables A/B testing, canary releases, and path-based routing. More powerful, slightly heavier.

Global

Geo-DNS Balancing

Routes users to the nearest data center using DNS resolution at the geographic level. Reduces round-trip time globally and improves disaster recovery across regions.

Health Check & Circuit Breaker Patterns

Healthy load balancing requires continuous observation of every node. When a server degrades, traffic must be rerouted before users notice.

🩺 Health Check Types

  • TCP probe — can we open a connection?
  • HTTP probe — does /health return 200?
  • Custom script — domain-specific sanity checks
  • gRPC probe — checks service readiness state

⚡ Circuit Breaker States

  • Closed — normal operation, requests flow through
  • Open — failure threshold hit, requests blocked
  • Half-open — test probe sent, recovery evaluated
  • Reset — back to closed after successful probe
Load Balancing & Task Delegation · Distributed Systems Reference · 2025

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