Parallel and Distributed Computing

What is the main difference between sequential, parallel, and distributed computing?

• Parallel computing aims to reduce overall computation time by exploiting concurrency.

• Distributed computing requires coordination and synchronization mechanisms to manage data dependencies and ensure correct execution.

• Sequential computing involves communication overhead due to network communication, while parallel computing typically has lower communication overhead since it operates on shared memory or within a single system.

• Sequential computing has no concurrency, while parallel and distributed computing exploits concurrency to execute tasks simultaneously.

Which computing approach better utilizes available hardware resources compared to sequential computing?

• Parallel computing

• Distributed computing

• Sequential computing

• Both parallel and distributed computing

What is an example of sequential computing in real-life?

• Baking a Cake

• Content Delivery Network (CDN)

• Internet Search Engine

• Manufacturing Assembly Line

What is an example of parallel computing in computer networking?

• Content Delivery Network (CDN)

• Baking a Cake

• Peer-to-Peer (P2P) File Sharing

• DNS Resolution

Which computing paradigm allows for applications' scalability and fault tolerance by distributing workload and resources across multiple nodes?

• Distributed computing

• Parallel computing

• Sequential computing

• Both parallel and distributed computing

What is the main advantage of distributed computing systems over parallel computing systems?

• They can dynamically add or remove nodes to handle varying workloads.

• They better use available hardware resources compared to parallel computing.

• They involve lower communication overhead due to network communication.

• They exploit concurrency to execute tasks simultaneously.

Which computing approach involves communication overhead due to network communication?

• Sequential computing

• Parallel computing

• Distributed computing

• Both parallel and distributed computing

What is an example of parallel computing in real-life?

• DNS Resolution

• Baking a Cake

• Manufacturing Assembly Line

• Internet Search Engine

Which computing paradigm has no concurrency?

• Parallel computing

• Distributed computing

• Sequential computing

• Both parallel and distributed computing

What is an example of distributed computing in computer networking?

• DNS Resolution

• Manufacturing Assembly Line

• Peer-to-Peer (P2P) File Sharing

• Content Delivery Network (CDN)