SUMMARY
The discussion clarifies that clustered systems are a specialized form of distributed systems characterized by tightly coupled computers, typically located in close proximity and connected via high-speed networks. An example of a clustered system is the Cray-built supercomputer at Oak Ridge National Labs, which utilizes multiple CPUs for large-scale computations in fields such as physics and finance. In contrast, distributed systems can operate across various locations and do not necessarily require high computational power, exemplified by point of sale systems that upload data to a central database simultaneously from multiple locations.
PREREQUISITES
- Understanding of clustered systems and their architecture
- Familiarity with distributed computing concepts
- Knowledge of high-speed networking technologies
- Basic principles of supercomputing and its applications
NEXT STEPS
- Research the architecture of clustered systems and their applications in supercomputing
- Explore distributed computing frameworks such as Apache Hadoop or Apache Spark
- Learn about high-speed networking technologies used in clustered environments
- Investigate real-world applications of distributed systems in retail and finance
USEFUL FOR
Software architects, systems engineers, and IT professionals interested in understanding the distinctions between clustered and distributed systems, as well as their respective applications in various industries.