Scalability Techniques
Because scalability techniques give rise to distributed systems that can efficiently cope with increased workloads and users, many computational problems can be solved in a short amount of time.Examples include:
- Horizontal Scaling is about expanding the node numbers in a distributed system to spread the work as well as boost performance.
- Vertical Scaling: Increase the computation or the capacity at local nodes to help them handle larger jobs or datasets.
- Sharding: splitting data or workload with units being part of the network, which helps in improving scaling and performance.
- Load Balancing: Divide the distribution of the new requests and tasks or work among all the hubs or nodes so that they are not overloaded and the utilization of resources from all the hubs is optimized.
Components of Distributed System
Many modern computing platforms, such as Internet applications or systems, are built on distributed systems, which function as essential infrastructure.
- These systems feature good scalability, fault tolerances, and application flexibility, which enable them to be used in various areas, including cloud computing, IoT, and big data analytics.
- It is necessary to learn the components of distributed systems, as it would be part of designing, developing, and maintaining faultless or efficient systems.
Important Topics for Components of Distributed System
- Communication Infrastructure
- Distributed Data Storage
- Distributed Computing Models
- Distributed Coordination
- Fault Tolerance Mechanisms
- Scalability Techniques
- Security in Distributed Systems
- Distributed System Monitoring and Management
- Deployment and orchestration
- Integration with Cloud Services
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