Introduction to Building Distributed Systems

Building distributed systems is a complex task that requires careful consideration of various factors, but the benefits it offers often outweigh the challenges.

Enhancing Computational Speed and Reliability

When building distributed systems, developers focus on several key areas to ensure optimal performance and reliability. Traditionally, resource sharing, computational speed, and communication reliability were among the primary concerns. However, there are additional reasons that make distributed systems indispensable in modern computing environments. These reasons include redundancy and the potential for parallel problem-solving, much like the efforts during the Manhattan project.

Redundancy and Parallel Problem-Solving

Redundancy is a crucial aspect of distributed systems. By designing systems with multiple redundant components, any failure can be compensated for, ensuring the continued operation of the system. Another reason is the ability to attack problems in parallel. During the development of the atomic bomb in the Manhattan project, scientists approached the problem simultaneously through different avenues, working on both uranium and plutonium bomb designs. This parallel approach can be similarly applied to complex problems such as addressing the pandemic and other global challenges.

Emergence and Recognition of Distributed Systems

The growing trend in the use of distributed computing is largely due to the benefits it offers. Despite the increased complexity and the challenges in building such systems, the advantages have made distributed computing a widely recognized and accepted approach in the industry. Key benefits that have driven the emergence and recognition of distributed systems include:

Inherently Distributed Programs

Programs that are naturally distributed in nature, such as automated banking machines, require computing resources to be spread across different locations. These systems process and gain access to data from various sources, making distributed computing essential for their operation.

Data Sharing Among Distributed Systems

One of the primary motivations for the development of distributed computing systems is the need for efficient data sharing over distances. Data generated by one user can be easily shared with others, enhancing collaboration and communication in various applications.

Resource Sharing

Sharing of software assets like libraries and databases can be efficiently managed through distributed computing. Cloud storage exemplifies this, allowing multiple users to access and share resources seamlessly.

Higher Rate-Performance Ratio

Due to advancements in technology and the integration of faster communication networks, distributed computing offers a higher rate-performance ratio. This is especially true when it comes to resource sharing, making it cost-effective and efficient.

Shorter Response Time and Better Throughput

The use of multiple processors in distributed computing structures enhances performance. Key performance metrics include response time and throughput, both of which are significantly improved in systems that allow for concurrent processing of multiple tasks. An example is the workstation framework, where users can run multiple processes simultaneously and communicate effectively with each other.

Better Reliability

Reliability in a distributed computing system refers to the ability of the system to maintain data integrity and prevent data loss in the event of component failure. The redundancy provided by multiple storage devices and processors ensures that data can be accessed even if one component fails.

Extensible and Incremental Expansion

Distributed systems can be easily enhanced by adding new resources without disrupting the normal functioning of the system. This extensibility allows for gradual improvements in both performance and functionality.

Flexibility in Meeting User Needs

A distributed computing system can leverage a pool of different types of computing resources to match the specific needs of individual tasks. This flexibility is exemplified in hybrid models where diverse computing resources are utilized to optimize performance and efficiency.

Conclusion

While resource sharing, computational speed, and communication reliability are important, distributed systems offer much more than these traditional attributes. Whether it is through redundancy, parallel processing, or the ability to scale and adapt, distributed systems are becoming increasingly popular in modern computing. The benefits of such systems have made them indispensable in addressing complex challenges and driving innovation in various industries.