Load Balancing Algorithms
The load balancing algorithms split and distribute the computation task or network traffic equally among the nodes in order to avoid overloading and prevent the resources from getting used or spent.
- They do a smart job of scheduling resources based on workload variances, node capacity, and the metrics of performance.
- This is to ensure efficient resource usage and decrease the response time. Mechanisms like a round-trip schedule and weighted load balancing ensure efficient sharing of work in changing distributed systems.
Different Types of Load Balancing Algorithms are:
- Round Robin: Requests are distributed evenly across servers in a circular manner. Each request is forwarded to the next server in line, ensuring that all servers receive approximately the same number of requests.
- Least Connection: Incoming requests are sent to the server with the fewest active connections at the time of the request. This helps to distribute the load based on the current capacity of each server.
- IP Hash: The IP address of the client is used to determine which server will handle the request. Requests from the same IP address are consistently routed to the same server, which can be beneficial for session persistence.
- Weighted Round Robin: Similar to Round Robin, but servers are assigned weights to reflect their capacity or performance. Servers with higher weights receive a proportionally higher number of requests, allowing for more granular control over load distribution.
- Least Response Time: Requests are forwarded to the server with the shortest response time or lowest latency. This algorithm aims to minimize response times for clients by directing them to the server that can respond most quickly.
Distributed System Algorithms
Distributed systems are the backbone of modern computing, but what keeps them running smoothly? It’s all about the algorithms. These algorithms are like the secret sauce, making sure everything works together seamlessly. In this article, we’ll break down distributed system algorithms in simple language.
Important Topics for Distributed System Algorithms
- Communication Algorithms
- Synchronization Algorithms
- Consensus Algorithms
- Replication Algorithms
- Distributed Query Processing Algorithms
- Load Balancing Algorithms
- Distributed Data Structures and Algorithms
- Failure Detection and Failure Recovery Algorithms
- Security Algorithms for a Distributed Environment
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