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Distributed System Architecture

Unlock the power of a distributed system, where multiple components on different machines seamlessly communicate and coordinate actions, presenting a unified and consistent experience for the end user.

In computer systems, our focus revolves around two core functions: efficient data storage and robust computing capabilities. Our ultimate aim is problem-solving, and as the complexity or scale of the challenge rises, the necessity of the utilization of multiple computers/threads takes place.

The two main functionalities of distributed systems:

  • Every machine collaborates seamlessly towards a shared objective, presenting end-users with unified and cohesive results.

  • Every machine facilitates resource sharing and communication services for optimal performance with its dedicated end-user.

Three Reasons to Decide to Use Distributed Systems

    • Horizontal Scalability — Since computing takes place independently on each node, it is effortless to add additional nodes and functionality with low-cost, as necessary.

    • Reliability — Most distributed systems are fault-tolerant as they can be combined with hundreds of nodes that can work together in the reliable environment. That enables the system will not experience any disrupted operations even in the face of individual machine failures.

    • Performance —Distributed systems are extremely efficient because of the workloads can be divided and dispatched to multiple machines for optimized performance.

    At MINDTRO, we recognize the complexities in establishing a requisite architectural design, software integration, and error recovery for a high-performing distributed system. Rest assured, our expertise and experience empower us to conquer these challenges.

Types of Distributed Systems

Distributed systems generally fall into one of four different basic architectural models:

Client-Server — Clients interact with the server for fetching, formatting, and displaying the data to the end- user. The end-users can also make changes locally in the client-side and commit it back to the server to make for permanent updates.

Three-Tier — Information of the client is stored on a middle tier instead of the client to simplify the application deployment. This architecture model is most common for web applications.

Multi-Tier — Ideal for applications or servers forwarding requests to additional enterprise services on the network, ensuring efficient network communication.

Peer-to-peer — Responsibilities are uniformly distributed among machines in the system, that can serve as either client or server. Therefore, the need for additional machines to provide services or manage resources would be eliminated

In distributed systems, encompassing any machine connected to a network with local memory, communication occurs through message transmission. The advantage lies in the ability to support numerous requests and compute workloads, surpassing the capabilities of a standard single system by distributing requests and workloads effectively

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