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Common Types of Distributed Storage Systems 11. Distributed Storage Systems Distributed File Systems Distributed (Relational) Databases No-SQL and Key-Value data-stores All are bound by Brewer s CAP
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How to fill out common types of distributed
Common types of distributed can be filled out by following these steps:
01
begin by gathering all necessary information related to the distributed system, such as the purpose, goals, and desired outcomes. This will help in understanding the specific requirements and components needed.
02
Identify the different components and functionalities required within the distributed system. This could include servers, clients, database systems, communication protocols, and security measures.
03
Define the architecture and design of the distributed system, considering factors like scalability, fault tolerance, data consistency, and performance. This step involves determining how the various components will interact and communicate with each other.
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Select the appropriate technology stack or programming language/framework for implementing the distributed system. This decision should be based on factors like compatibility, ease of use, and community support.
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Develop and deploy the distributed system by writing code for the different components, setting up servers and databases, and configuring the necessary network infrastructure.
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Test the distributed system thoroughly to ensure it meets the desired requirements and functions as intended. This includes conducting various tests like functional testing, performance testing, and security testing.
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Once the distributed system has been successfully implemented and tested, document the system's architecture, configuration, and any other relevant details for future reference and maintenance.
7.1
Common types of distributed systems are typically needed by organizations or individuals who require scalable and fault-tolerant solutions for handling large amounts of data or serving a large number of users. For example:
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E-commerce platforms that need to handle high volumes of customer data and transactions across multiple servers.
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Social media platforms that require a distributed infrastructure to handle millions of users and their interactions in real-time.
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Cloud computing providers who offer distributed computing and storage services to their clients.
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Financial institutions that need distributed systems to process and analyze large volumes of financial transactions.
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Internet of Things (IoT) applications that involve multiple devices and sensors communicating and exchanging data over a network.
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Online gaming platforms that require distributed systems to support multiplayer games and ensure a seamless gaming experience for users.
In summary, anyone who needs to handle large-scale data processing, real-time communication, and high scalability can benefit from implementing common types of distributed systems.
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