COMPUTER SCIENCE AND ENGINEERING
ALGORITHMS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Distributed computing typically requires fewer computers
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Distributed computing can be used when parallel solutions are not possible
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Parallel computing scales more effectively than sequential computing
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Distributed computing improves the speed at which an individual computer executes a programAnswer
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Detailed explanation-1: -Statement that express benefit of parallel and distributed computing is C:Parallel computing scales more effectively than sequential computing.
Detailed explanation-2: -Parallel computing is used to increase computer performance and for scientific computing, while distributed computing is used to share resources and improve scalability.
Detailed explanation-3: -Parallel computing solutions are also able to scale more effectively than sequential solutions. This means if there’s a change in scale (ex: more instructions to process than before), these solutions will handle the change better than sequential computing models would.
Detailed explanation-4: -The advantages of parallel computing are that computers can execute code more efficiently, which can save time and money by sorting through “big data” faster than ever. Parallel programming can also solve more complex problems, bringing more resources to the table.
Detailed explanation-5: -Such a cluster is referred to as a “distributed system.” Distributed computing offers advantages in scalability (through a “scale-out architecture”), performance (via parallelism), resilience (via redundancy), and cost-effectiveness (through the use of low-cost, commodity hardware).