batch processing

简明释义

程序组处理

英英释义

例句

1.Using batch processing, the system can automate repetitive tasks without user intervention.

使用批处理，系统可以在没有用户干预的情况下自动化重复任务。

2.The company uses batch processing to handle large volumes of transactions at once.

公司使用批处理来一次性处理大量交易。

3.The software supports batch processing for importing multiple files simultaneously.

该软件支持批处理以同时导入多个文件。

4.In manufacturing, batch processing allows for the efficient production of goods in groups.

在制造业中，批处理允许以小组的方式高效生产商品。

5.By implementing batch processing, we can significantly reduce the time required for data analysis.

通过实施批处理，我们可以显著减少数据分析所需的时间。

作文

In the world of computing, the term batch processing refers to a method of executing a series of jobs or tasks on a computer without manual intervention. This technique is particularly useful in environments where large volumes of data need to be processed efficiently and quickly. The concept of batch processing can be traced back to the early days of computing when mainframe computers were the primary machines used for data processing. At that time, users would submit their jobs in batches, and the computer would process them sequentially, allowing for optimal use of resources.One of the key advantages of batch processing is its efficiency. By grouping similar tasks together, computers can minimize the time spent on context switching, which occurs when the CPU switches from one task to another. This means that instead of handling each job individually, the system can dedicate its resources to processing a larger batch at once. For example, consider a bank that needs to process thousands of transactions at the end of the day. Using batch processing, the bank can compile all the transactions and process them in one go, rather than dealing with each transaction separately throughout the day.Another benefit of batch processing is its ability to handle large datasets. In industries such as finance, healthcare, and telecommunications, organizations often deal with vast amounts of data that require thorough analysis. By utilizing batch processing, these organizations can run complex algorithms on their data without impacting the performance of their systems. This is especially important during peak hours when real-time processing might lead to slowdowns or crashes.However, batch processing is not without its drawbacks. One significant limitation is the latency involved in processing the data. Since jobs are collected and executed in batches, there may be delays in obtaining results. This can be problematic in scenarios where immediate feedback is required, such as in real-time monitoring systems. In such cases, organizations may need to strike a balance between batch processing and real-time processing to ensure they meet their operational needs.Moreover, the implementation of batch processing requires careful planning and resource allocation. Organizations must ensure that their infrastructure can handle the volume of data being processed in batches. This includes having sufficient storage, memory, and processing power to accommodate the demands of batch jobs. Failure to properly manage these resources can lead to bottlenecks and inefficiencies.In conclusion, batch processing is a powerful tool in the realm of computing, offering numerous benefits for organizations that need to process large volumes of data efficiently. While it does come with certain challenges, the advantages often outweigh the drawbacks, making it an essential technique in various industries. As technology continues to evolve, the methods and tools used for batch processing will likely advance as well, paving the way for even greater efficiencies in data management and processing.

在计算机领域，术语批处理指的是一种在计算机上执行一系列作业或任务的方法，而无需人工干预。这种技术在需要高效快速处理大量数据的环境中尤其有用。批处理的概念可以追溯到计算机的早期，当时主机是用于数据处理的主要机器。在那时，用户会将他们的作业以批次提交，计算机会顺序处理这些作业，从而实现资源的最佳利用。批处理的一个主要优点是其效率。通过将类似的任务分组，计算机可以最小化上下文切换所花费的时间，上下文切换发生在CPU从一个任务切换到另一个任务时。这意味着，系统可以专注于一次处理更大的批量，而不是单独处理每个作业。例如，考虑一家银行需要在一天结束时处理成千上万的交易。通过使用批处理，银行可以将所有交易汇总并一次性处理，而不是在一天中分别处理每笔交易。批处理的另一个好处是其处理大数据集的能力。在金融、医疗保健和电信等行业，组织通常需要处理大量数据，这些数据需要进行深入分析。通过利用批处理，这些组织可以在不影响系统性能的情况下对其数据运行复杂的算法。这在高峰时段尤为重要，因为实时处理可能导致系统减速或崩溃。然而，批处理并非没有缺点。一个显著的限制是处理数据所涉及的延迟。由于作业是收集并以批次执行的，因此获取结果可能会有延迟。这在需要立即反馈的场景中可能会造成问题，例如在实时监控系统中。在这种情况下，组织可能需要在批处理和实时处理之间找到平衡，以确保满足其运营需求。此外，实施批处理需要仔细的规划和资源分配。组织必须确保其基础设施能够处理以批次方式处理的数据量。这包括拥有足够的存储、内存和处理能力，以满足批处理作业的需求。如果未能妥善管理这些资源，可能会导致瓶颈和低效。总之，批处理是计算领域中的一项强大工具，为需要高效处理大量数据的组织提供了众多好处。尽管它确实存在某些挑战，但优势往往超过缺点，使其成为各行业的重要技术。随着技术的不断发展，用于批处理的方法和工具也可能会不断进步，为数据管理和处理带来更大的效率。