All Flashcards
How is fault tolerance applied in real-world scenarios?
Ensuring continuous operation of critical systems like servers, networks, and databases.
How is parallel computing applied in real-world scenarios?
Weather forecasting, scientific simulations, and video editing.
How is distributed computing applied in real-world scenarios?
Large-scale data processing, cloud computing, and online gaming.
What is Routing?
The process of finding the best path for data to travel across a network.
How does the Internet work?
Devices connect using protocols; data is sent in packets; scalability is crucial.
What are Data Streams and Packets?
Data is broken into packets for transmission, each with metadata for routing.
What is Fault-Tolerance?
A system's ability to continue operating even if some of its components fail.
Why is the Internet Fault-Tolerant?
It is designed to route around failures, ensuring data can still be delivered.
What are the benefits of Fault-Tolerance?
Increased reliability, availability, and resilience.
What is Sequential Computing?
Tasks are performed one after the other.
What is Parallel Computing?
Tasks are divided and performed simultaneously on multiple processors.
What is Distributed Computing?
Tasks are divided and performed across multiple computers connected by a network.
What is Speedup?
The ratio of the time it takes for a sequential solution to the time it takes for a parallel or distributed solution.
What are the benefits of Parallel Computing?
Faster processing for complex tasks.
What are the benefits of Distributed Computing?
Ability to handle large datasets and tasks that require more resources than a single computer can provide.
What are the challenges of Parallel and Distributed Computing?
Coordination, synchronization, and communication overhead.
What are the differences between the Internet and the World Wide Web?
Internet: The infrastructure | World Wide Web: A service that runs on it.
What are the differences between Sequential, Parallel, and Distributed Computing?
Sequential: One task at a time | Parallel: Multiple tasks on one machine | Distributed: Multiple tasks across multiple machines.