Distributed Processing in a sentence
Synonym: parallel processing.
Meaning: A method of processing data across multiple computers or systems.
(1) Distributed processing allows for faster data analysis.
(2) Distributed processing minimizes network congestion and latency.
(3) The distributed processing system optimizes resource utilization.
(4) With distributed processing, tasks can be completed simultaneously.
(5) The company implemented distributed processing to improve efficiency.
(6) Distributed processing ensures high availability and fault tolerance.
(7) The distributed processing model reduces the risk of system failures.
(8) Distributed processing enables efficient data transfer between nodes.
(9) Distributed processing enables real-time data processing and analysis.
(10) Distributed processing enables load balancing across multiple servers.
Distributed Processing sentence
(11) The distributed processing approach is essential for handling big data.
(12) The distributed processing approach enhances data security and privacy.
(13) The distributed processing algorithm ensures efficient task allocation.
(14) The distributed processing framework supports distributed file systems.
(15) The distributed processing model allows for parallel execution of tasks.
(16) The software uses distributed processing to distribute workloads evenly.
(17) Distributed processing improves response time for critical applications.
(18) Distributed processing enables seamless collaboration among team members.
(19) Distributed processing enhances scalability and flexibility in computing.
(20) Distributed processing allows for real-time data processing and analysis.
Distributed Processing make sentence
(21) The distributed processing framework enables parallel execution of tasks.
(22) The distributed processing approach enhances data analytics capabilities.
(23) Distributed processing allows for faster and more efficient data analysis.
(24) The distributed processing architecture supports fault-tolerant computing.
(25) The distributed processing model reduces the need for centralized servers.
(26) The system utilizes distributed processing to handle large volumes of data.
(27) Distributed processing improves overall system performance and reliability.
(28) Distributed processing is a key component of cloud computing infrastructure.
(29) Distributed processing enables efficient utilization of computing resources.
(30) Distributed processing enables efficient utilization of distributed storage.
Sentence of distributed processing
(31) Many companies rely on distributed processing to handle large amounts of data.
(32) The concept of distributed processing is widely used in modern computer systems.
(33) The distributed processing model is highly adaptable to changing business needs.
(34) Distributed processing is a core concept in the design of distributed databases.
(35) Distributed processing can be achieved through the use of distributed algorithms.
(36) Distributed processing can be used to optimize resource utilization in a network.
(37) Distributed processing is essential for handling big data analytics in real-time.
(38) Distributed processing facilitates seamless integration of multiple data sources.
(39) The distributed processing system offers high scalability for growing businesses.
(40) Distributed processing can be used to improve the performance of web applications.
Distributed Processing meaningful sentence
(41) The network architecture supports distributed processing for improved performance.
(42) Distributed computing can be used for distributed processing of multimedia content.
(43) Distributed processing is a key enabler for real-time video streaming applications.
(44) The use of distributed processing can help reduce processing time for complex tasks.
(45) Distributed processing is a fundamental concept in the field of computer networking.
(46) Distributed processing is a critical component of high-performance computing systems.
(47) Distributed processing can be implemented using a network of interconnected computers.
(48) Distributed processing can help organizations make faster and more informed decisions.
(49) The distributed processing model enables efficient utilization of computing resources.
(50) The distributed processing paradigm is essential for handling large-scale simulations.
Distributed Processing sentence examples
(51) The cloud platform offers distributed processing capabilities for faster computations.
(52) With distributed processing, the workload is distributed across a network of computers.
(53) Distributed processing is a key component of modern artificial intelligence algorithms.
(54) Distributed processing is a key technology behind the success of modern search engines.
(55) The benefits of distributed processing include improved scalability and fault tolerance.
(56) The connectionist approach emphasizes the importance of parallel distributed processing.
(57) The distributed processing approach enables real-time data analysis in IoT applications.
(58) The distributed processing paradigm is widely used in scientific research and simulations.
(59) The distributed processing approach is crucial for handling geographically dispersed data.
(60) The distributed processing model allows for seamless integration of multiple data sources.
Sentence with distributed processing
(61) The distributed processing model enables efficient load balancing across multiple servers.
(62) The scalability of distributed processing makes it suitable for handling varying workloads.
(63) The distributed processing approach is essential for real-time data streaming applications.
(64) Distributed processing allows for efficient utilization of distributed computing resources.
(65) The distributed processing architecture allows for seamless integration of multiple systems.
(66) The distributed processing system ensures that no single computer is overwhelmed with tasks.
(67) By using distributed processing, organizations can achieve higher levels of fault tolerance.
(68) Distributed processing can be used to improve the performance of machine learning algorithms.
(69) Distributed processing can be used to improve the performance of data-intensive applications.
(70) Distributed processing enables parallel computing, resulting in faster data processing times.
Use distributed processing in a sentence
(71) The company implemented distributed processing to improve the efficiency of their data center.
(72) Distributed processing allows for efficient data sharing and collaboration among multiple users.
(73) The distributed processing model enhances the reliability and availability of computing systems.
(74) The distributed processing architecture enables efficient data transfer between different nodes.
(75) Distributed processing is essential for handling large-scale simulations in the gaming industry.
(76) Distributed processing can enhance the security of data by distributing it across multiple nodes.
(77) Distributed processing can help organizations achieve better business agility and responsiveness.
(78) Distributed processing is crucial for handling large-scale data sets in data mining applications.
(79) The distributed processing system automatically redistributes tasks in case of hardware failures.
(80) Distributed processing is a cost-effective solution for handling computationally intensive tasks.
Sentence using distributed processing
(81) Distributed processing can improve system reliability by distributing tasks across multiple nodes.
(82) The scalability of distributed processing makes it suitable for handling high-volume transactions.
(83) The distributed processing architecture allows for seamless scalability as the workload increases.
(84) The cloud computing platform utilizes distributed processing to handle large-scale data processing.
(85) The distributed processing approach enables efficient resource utilization across multiple machines.
(86) The company's decision to implement distributed processing increased its overall processing capacity.
(87) The distributed processing framework allows for efficient data sharing and collaboration among users.
(88) Distributed processing is widely used in scientific research for complex simulations and calculations.
(89) The distributed processing framework ensures efficient utilization of computing resources in a cluster.
(90) The distributed processing system ensures high availability and fault tolerance in critical applications.
(91) The distributed processing model enables organizations to achieve higher levels of computational efficiency.
(92) The distributed processing approach enables efficient utilization of computing resources in cloud environments.
(93) It is efficient to split the undefined array into parts to enable distributed processing across multiple servers.
(94) The company's decision to implement a distributed processing architecture improved its overall processing capacity.
Distributed Processing meaning
Distributed processing is a term commonly used in the field of computer science and refers to the method of dividing a complex task or workload into smaller, more manageable parts that are processed simultaneously across multiple computers or nodes. This approach allows for efficient utilization of resources and can significantly enhance the overall performance and scalability of a system. To effectively incorporate the term "distributed processing" into your sentences, consider the following tips:
1. Define the term: When introducing the concept of distributed processing, it is essential to provide a clear definition to ensure your readers understand its meaning.
For example, "Distributed processing, also known as parallel processing, is a technique that involves breaking down a complex task into smaller subtasks and executing them simultaneously across multiple computers or nodes."
2. Highlight benefits: Emphasize the advantages of distributed processing to showcase its significance. For instance, "By employing distributed processing, organizations can achieve faster and more efficient data analysis, as the workload is distributed across multiple machines, enabling parallel execution and reducing processing time."
3. Provide examples: Illustrate the application of distributed processing in various domains to enhance comprehension. For instance, "In the field of scientific research, distributed processing is widely used to analyze massive datasets, such as climate models or genetic sequencing, by dividing the computations across a network of interconnected computers."
4. Discuss scalability: Explain how distributed processing enables systems to scale effectively.
For example, "Distributed processing allows systems to handle increasing workloads by adding more nodes to the network, ensuring that the processing power grows in tandem with the demands placed on the system."
5. Address challenges: Acknowledge potential challenges or limitations associated with distributed processing. For instance, "While distributed processing offers numerous benefits, it requires careful coordination and synchronization of tasks to ensure data consistency and avoid conflicts."
6. Highlight real-world applications: Discuss specific use cases where distributed processing has been successfully implemented.
For example, "In the realm of e-commerce, distributed processing enables online retailers to handle high volumes of transactions simultaneously, ensuring a seamless shopping experience for customers."
7. Compare with alternative approaches: Contrast distributed processing with other methods to highlight its advantages. For instance, "Unlike traditional sequential processing, where tasks are executed one after another, distributed processing allows for parallel execution, significantly reducing processing time and improving overall system performance."
8. Address emerging trends: Discuss recent advancements or trends related to distributed processing, such as the integration of machine learning algorithms or the utilization of cloud computing resources.
For example, "With the advent of cloud computing, distributed processing has become more accessible and cost-effective, as organizations can leverage the computing power of remote servers to execute their tasks."
9. Provide practical advice: Offer tips or recommendations for effectively implementing distributed processing in practical scenarios. For instance, "When designing a distributed processing system, it is crucial to carefully partition the workload, ensuring that each task is independent and can be executed in parallel without dependencies on other tasks."
10. Conclude with a summary: Summarize the key points discussed in your article to reinforce the understanding of distributed processing and its significance.
For example, "
In conclusion, distributed processing is a powerful technique that enables efficient utilization of resources, enhances system performance, and facilitates scalability. By breaking down complex tasks into smaller subtasks and executing them simultaneously across multiple computers or nodes, organizations can achieve faster processing times and handle larger workloads effectively." By following these tips, you can effectively incorporate the term "distributed processing" into your sentences and provide a comprehensive understanding of its meaning, benefits, and applications.
The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Distributed Processing. They do not represent the opinions of TranslateEN.com.