Load Balancing Algorithms Overview Quiz

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15 Questions

Which load balancing algorithm distributes incoming requests sequentially to available servers in a circular order?

Round Robin

What is a potential disadvantage of the Round Robin load balancing algorithm?

May not perform optimally when servers have different capacities or varying workloads

Which factor is NOT considered by load balancing algorithms when making decisions on how to distribute incoming requests?

Server location

Which load balancing algorithm prioritizes servers with the fewest active connections?

Least Connections

What is a key advantage of load balancing algorithms?

Improving overall system performance

Which load balancing algorithm distributes incoming requests based on a weighting mechanism according to the server's capacity?

Weighted Round Robin

What is a potential disadvantage of the Random load balancing algorithm?

May not perform optimally when servers have different capacities or varying workloads

Which load balancing algorithm balances load for requests with variable processing times?

Least Connections algorithm

Which load balancing algorithm requires manual assignment and maintenance of weights?

Weighted Round Robin algorithm

Which load balancing algorithm combines balancing load based on active connections and server capacities?

Weighted Least Connections algorithm

Which load balancing algorithm maintains session persistence based on IP address?

IP Hash algorithm

What is a potential disadvantage of the Least Connections algorithm?

May not consider server response time or health

What is a drawback of the Weighted Round Robin algorithm?

Requires manual assignment and maintenance of weights

What is a potential challenge of the Weighted Least Connections algorithm?

Requires tracking active connections for each server

What is a limitation of the IP Hash algorithm?

May not balance load effectively with few clients and many requests

Study Notes

Load Balancing Algorithms Overview

  • Least Connections algorithm directs requests to server with lowest active connections, adapting to varying workloads
  • Pros: Adapts to server capacities and workloads, balances load for requests with variable processing times
  • Cons: Requires tracking active connections for each server, may not consider server response time or health
  • Example: Email service uses load balancer to direct requests to server with fewest active connections
  • Weighted Round Robin algorithm assigns weights to servers based on capacities, distributing requests proportionally
  • Pros: Balances load for different server capacities, simple to understand and implement
  • Cons: Requires manual assignment and maintenance of weights, no consideration for server health or response time
  • Example: Content delivery network uses load balancer to distribute requests based on server capacities
  • Weighted Least Connections algorithm combines Least Connections and Weighted Round Robin, balancing load based on active connections and server capacities
  • Pros: Balances load effectively, adapts to varying workloads and capacities
  • Cons: Requires tracking active connections and maintaining server weights, may not consider server response time or health
  • Example: E-commerce website uses load balancer to direct requests based on active connections and server weights
  • IP Hash algorithm determines server for request based on IP address, maintaining session persistence
  • Pros: Maintains session persistence, useful for continuous connection, can distribute load evenly with well-designed hash function
  • Cons: May not balance load effectively with few clients and many requests, no consideration for server health or varying capacities
  • Example: Online multiplayer game uses IP Hash to maintain continuous connection for players

Test your knowledge of load balancing algorithms with this overview quiz. Explore the pros and cons of Least Connections, Weighted Round Robin, Weighted Least Connections, and IP Hash algorithms, and understand their practical applications in various systems.

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