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Questions and Answers
What is the main difference between Clustered Systems and Multiprocessor Systems?
What is the main difference between Clustered Systems and Multiprocessor Systems?
What is a key requirement for two machines in a cluster to cooperate effectively?
What is a key requirement for two machines in a cluster to cooperate effectively?
In a Shared Disk Architecture, what is a major disadvantage of allowing all nodes access to the same disk storage?
In a Shared Disk Architecture, what is a major disadvantage of allowing all nodes access to the same disk storage?
What is the purpose of interrupts in a CPU?
What is the purpose of interrupts in a CPU?
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Why does a Shared Nothing Architecture require more complex data distribution and querying logic?
Why does a Shared Nothing Architecture require more complex data distribution and querying logic?
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In Linux, what is the function of the 'jiffies' variable?
In Linux, what is the function of the 'jiffies' variable?
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What is a critical aspect of Cluster Software in Clustered Systems?
What is a critical aspect of Cluster Software in Clustered Systems?
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What happens when a CPU sets up a DMA transfer?
What happens when a CPU sets up a DMA transfer?
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How do traps differ from interrupts?
How do traps differ from interrupts?
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Why is constructing a secure operating system on hardware without privileged mode challenging?
Why is constructing a secure operating system on hardware without privileged mode challenging?
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What is the main difference between interrupts and traps?
What is the main difference between interrupts and traps?
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What is the role of jiffies in the Linux kernel?
What is the role of jiffies in the Linux kernel?
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How does Direct Memory Access (DMA) affect CPU performance?
How does Direct Memory Access (DMA) affect CPU performance?
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Why is constructing a secure operating system on hardware without privileged mode challenging?
Why is constructing a secure operating system on hardware without privileged mode challenging?
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What is a critical disadvantage of shared disk architecture in clustered systems?
What is a critical disadvantage of shared disk architecture in clustered systems?
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What distinguishes Clustered Systems from Multiprocessor Systems in terms of data architecture?
What distinguishes Clustered Systems from Multiprocessor Systems in terms of data architecture?
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Which type of architecture is more suitable for quick failover but with increased complexity for managing access and data integrity?
Which type of architecture is more suitable for quick failover but with increased complexity for managing access and data integrity?
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What is a key challenge associated with Shared Nothing Architecture in database clusters?
What is a key challenge associated with Shared Nothing Architecture in database clusters?
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Which mechanism is essential for state management and decision-making among nodes in a clustered system?
Which mechanism is essential for state management and decision-making among nodes in a clustered system?
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How do Clustered Systems differ from Multiprocessor Systems in terms of scalability?
How do Clustered Systems differ from Multiprocessor Systems in terms of scalability?
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Study Notes
Clustered Systems vs Multiprocessor Systems
- Clustered Systems: multiple machines work together to achieve a common goal, each machine has its own memory and processing power.
- Multiprocessor Systems: multiple processors share a common memory and processing power.
Cluster Cooperation
- Key requirement for two machines in a cluster to cooperate effectively: they must be able to communicate with each other.
Shared Disk Architecture
- Major disadvantage of allowing all nodes access to the same disk storage: it can lead to data inconsistencies and conflicts.
CPU Interrupts
- Purpose of interrupts in a CPU: to temporarily pause the execution of the current task to handle a higher-priority task or event.
Shared Nothing Architecture
- Requires more complex data distribution and querying logic: because each node has its own memory and processing power, data distribution and querying logic must be more complex to ensure data consistency.
Linux Kernel
- Function of the 'jiffies' variable: a measure of time, used to track the time elapsed since the system was booted.
Cluster Software
- Critical aspect of Cluster Software in Clustered Systems: managing the communication and cooperation between nodes.
CPU DMA
- When a CPU sets up a DMA transfer: the CPU transfers control of the system bus to the DMA controller, allowing it to transfer data directly to or from memory.
Interrupts vs Traps
- Difference between interrupts and traps: interrupts are external events, such as I/O completions, while traps are internal events, such as divide by zero errors.
Secure Operating System
- Challenge of constructing a secure operating system on hardware without privileged mode: it is difficult to ensure the operating system has sufficient control over the system to enforce security policies.
Clustered Systems vs Multiprocessor Systems
- Main difference in terms of data architecture: Clustered Systems have multiple machines with their own memory, while Multiprocessor Systems have multiple processors sharing a common memory.
Shared Disk Architecture
- Critical disadvantage: it can lead to data inconsistencies and conflicts, and can be a single point of failure.
Clustered Systems
- Suitable for quick failover but with increased complexity for managing access and data integrity: Shared Disk Architecture.
- Key challenge associated with Shared Nothing Architecture: managing data distribution and querying logic.
State Management
- Essential mechanism for state management and decision-making among nodes in a clustered system: communication and coordination mechanisms.
Scalability
- Difference between Clustered Systems and Multiprocessor Systems: Clustered Systems are more scalable, as they can add more machines to the cluster as needed.
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Description
Explore the differences between Clustered Systems and Multiprocessor Systems, including their architectures, functionalities, and advantages. Learn about their roles in high availability, scalability, and reliability in computing environments.