Discover how parallel sysplex technology enables multiple mainframes to function as a single system, enhancing scalability, availability, and performance.
Table of Contents
Question
Which technology allows multiple mainframes to act as one
A. Parallel sysplex
B. Virtual coupling
C. both a & b
D. none of the above
Answer
A. Parallel sysplex
Explanation
A parallel sysplex is a technology that allows multiple mainframes to act as a single system, providing increased scalability, availability, and performance. It is the correct answer to the question “Which technology allows multiple mainframes to act as one?”
In a parallel sysplex environment, multiple mainframes, also known as systems or nodes, are connected through a high-speed coupling facility (CF). The coupling facility is a specialized hardware component that enables fast communication and data sharing among the connected systems.
Key features of a parallel sysplex:
- Shared data: All systems in the sysplex have access to the same shared data, which is stored in the coupling facility. This allows for efficient data sharing and ensures data consistency across the sysplex.
- Workload balancing: The workload can be dynamically distributed across the systems in the sysplex, ensuring optimal resource utilization and performance.
- Failure isolation: If one system in the sysplex fails, the workload is automatically redistributed among the remaining systems, minimizing the impact on overall system availability.
- Scalability: As the workload grows, additional systems can be added to the sysplex to handle the increased demand, providing a high degree of scalability.
While virtual coupling is a technology that allows logical partitions (LPARs) within a single mainframe to communicate with each other, it does not enable multiple mainframes to act as a single system. Therefore, option B and C are incorrect.
In summary, parallel sysplex is the technology that allows multiple mainframes to function as a single system, providing enhanced scalability, availability, and performance through shared data, workload balancing, failure isolation, and scalability features.
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