system load vector

简明释义

系统载荷矢量

英英释义

例句

1.A high system load vector may suggest that additional resources are needed to handle user requests.

高系统负载向量可能表明需要额外的资源来处理用户请求。

2.The system load vector is crucial for understanding how different components of the system interact under stress.

了解系统在压力下如何相互作用，系统负载向量至关重要。

3.The server's performance can be analyzed using the system load vector, which indicates the current resource utilization.

服务器的性能可以通过使用系统负载向量来分析，该向量表示当前的资源利用率。

4.By analyzing the system load vector, we can make informed decisions about scaling our infrastructure.

通过分析系统负载向量，我们可以对扩展基础设施做出明智的决策。

5.Monitoring the system load vector helps in identifying potential bottlenecks in the application.

监控系统负载向量有助于识别应用程序中的潜在瓶颈。

作文

In the realm of computer science and engineering, understanding system performance is crucial for optimizing resources and ensuring efficient operation. One key concept that arises in this context is the system load vector, which serves as a vital tool for assessing the state of a system under various conditions. The system load vector can be defined as a multidimensional representation of the workload and resource utilization of a computing system at any given time. It encapsulates various metrics, including CPU usage, memory consumption, disk I/O, and network bandwidth, providing a holistic view of how well the system is performing.The importance of the system load vector cannot be overstated. For system administrators and engineers, it acts as a diagnostic tool that helps identify bottlenecks and inefficiencies within the system. By analyzing the system load vector, they can determine whether the system is overloaded or if specific components are underutilized. This insight allows for better decision-making when it comes to resource allocation, scaling, and overall system optimization.Moreover, the system load vector plays a significant role in capacity planning. Organizations must anticipate future growth and ensure that their systems can handle increased workloads. By monitoring the system load vector over time, teams can predict when upgrades or additional resources will be necessary. This proactive approach not only saves costs but also enhances system reliability and user satisfaction.In addition to its practical applications, the system load vector is also a critical component in the development of algorithms for load balancing. Load balancing is the process of distributing workloads across multiple computing resources to optimize performance and prevent any single resource from becoming a bottleneck. The system load vector provides the necessary data for these algorithms to make informed decisions about where to route incoming requests, ensuring that all resources are utilized effectively.Furthermore, the system load vector can aid in troubleshooting when issues arise. When users report slow performance or outages, the first step is often to analyze the system load vector to identify any anomalies. For instance, if the CPU usage is consistently at 100%, it could indicate a runaway process that needs to be addressed. Conversely, if certain resources are consistently underutilized, it may suggest that the system is over-provisioned, leading to unnecessary costs.In conclusion, the system load vector is an essential concept in the field of computer science, providing valuable insights into system performance and resource utilization. By leveraging this multidimensional representation, organizations can optimize their systems, plan for future growth, and troubleshoot issues effectively. As technology continues to evolve, the significance of the system load vector will only increase, making it a fundamental aspect of modern computing practices.

在计算机科学和工程领域，理解系统性能对于优化资源和确保高效运行至关重要。在这种背景下，一个关键概念是系统负载向量，它作为评估系统在各种条件下状态的重要工具。系统负载向量可以定义为在任何给定时间内计算系统的工作负载和资源利用率的多维表示。它封装了各种指标，包括CPU使用率、内存消耗、磁盘I/O和网络带宽，提供了系统性能整体视图。系统负载向量的重要性不可低估。对于系统管理员和工程师而言，它充当了一种诊断工具，帮助识别系统中的瓶颈和低效之处。通过分析系统负载向量，他们可以确定系统是否超载，或者特定组件是否未得到充分利用。这一见解使得在资源分配、扩展和整体系统优化方面能够做出更好的决策。此外，系统负载向量在容量规划中也扮演着重要角色。组织必须预测未来的增长，并确保他们的系统能够处理增加的工作负载。通过监测系统负载向量的变化，团队可以预测何时需要升级或添加资源。这种主动的方法不仅节省成本，还提高了系统的可靠性和用户满意度。除了其实际应用外，系统负载向量还是负载均衡算法开发中的关键组成部分。负载均衡是将工作负载分配到多个计算资源上，以优化性能并防止任何单一资源成为瓶颈的过程。系统负载向量提供了必要的数据，使这些算法能够做出关于如何路由传入请求的明智决策，从而确保所有资源都得到有效利用。此外，系统负载向量还可以在出现问题时帮助故障排除。当用户报告性能缓慢或停机时，第一步通常是分析系统负载向量以识别任何异常。例如，如果CPU使用率持续达到100%，这可能表明有一个失控的进程需要处理。相反，如果某些资源持续未得到充分利用，这可能表明系统过度配置，导致不必要的成本。总之，系统负载向量是计算机科学领域中的一个基本概念，提供了有关系统性能和资源利用的宝贵见解。通过利用这一多维表示，组织可以优化其系统，为未来增长做好规划，并有效地排除故障。随着技术的不断发展，系统负载向量的重要性只会增加，使其成为现代计算实践的基本方面。