本文主要研究用于不平衡负载的SVC无功补偿控制器。
The control method of SVC for unbalanced load is mainly researched in this paper.
平衡负载的需要取决于许多因素，这些因素由环境和部署的需要决定。
The need to balance loads depends on many factors, most of which will be dictated by the environment and needs of the deployment. These are factors to consider.
本文研究了四桥臂逆变器的工作原理，分析了它能抑制不平衡负载的机理。
The principles of four legs inverter about how to work and how to restrain the unbalanced load are studied in this dissertation.
本文将三相四桥臂逆变器与重复控制技术、PI双闭环控制相结合，满足了非线性不平衡负载的要求。
In order to solve the problem mentioned above, a novel design which combines three phase fourlegs inverter, repetitive controller and PI double loop control.
加速：理解不同的负载平衡算法选项和内容缓存。
Acceleration: Understand the different load balancing algorithm options and content caching.
它提供一个灵活的基础结构，支持容错、负载平衡和真正的并行执行，能够满足高可用性需求。
It provides a resilient infrastructure that supports fault tolerance, load balancing and true parallel execution satisfying the most demanding high availability requirements.
这是AIX管理员管理计划内停机或服务器之间的工作负载平衡的关键工具。
This is a key tool for AIX adminisrators for managing planned outages or workload balance between servers.
平衡系统负载——在不同的期间运行进程，从而更有效地利用每天的24小时。
Balancing system workload — Running processes at different intervals to more efficiently utilize the 24-hour day.
各种负载平衡算法的优缺点。
这里有可用于处理身份验证、负载平衡等的处理器。
There are handlers for handling authentication, load balancing, etc.
用群集和负载平衡管理大的消息吞吐量。
Managing high message throughput with clustering and load balancing.
合理选择的负载平衡算法。
因此，在计划在云系统上处理大量数据时，考虑MapReduce样式并行处理和负载平衡的组合。
Therefore, consider a combination of MapReduce-style parallel processing and load balancing when planning to process a large amount of data on your cloud system.
关于JPPF负载平衡的实施细节，他解释说。
Regarding the implementation details of load balancing in JPPF, he explained that.
解决这些问题能使您更容易地创建负载平衡的Web服务应用程序。
You will find that resolving the issues makes your job of creating load balancing Web services applications much easier.
我们在CloudCat自身中不提供负载平衡的能力，但是可以与基础架构提供的能力协同工作。
We do not provide load balancing capabilities in Cloudcat itself, but work with the infrastructure provided capabilities.
我们的HadoopMapReduce和负载平衡的实验可以得到两个必然结论。
Our experiment with Hadoop MapReduce and load balancing lead to two inescapable conclusions.
这就带来了另一个问题，即什么是进行面向分段的负载平衡的最有效的方案？
That brings another question, "What is the most cost-effective scheme for segment-oriented load balancing?"
在关闭负载平衡的情况下，有几点需要注意。
A few points to be noted in this context, where load balancing is turned off.
因为在有未使用资源的网格中可以平衡资源负载，所以网格计算好像是负载平衡的一种极端形式。
Because the load of resources can be balanced in the grid with unused resources, grid computing is like an extreme form of load balancing.
处理这种负载问题的方法之一是平衡服务器间的负载，这样访问者就不会为得到答复而等待太久。
One way of handling this load problem is to balance the load between servers, so the visitors will not wait too long for their answers.
系统测试团队使用这种环境来观察应用程序如何运行在负载平衡的环境中。
The system test team USES this environment to observe how the application works in a load-balanced environment.
因为在有未使用资源的网格中可以平衡资源负载，所以网格计算好像是SOA应用程序之间负载平衡的一种终极形式。
Because the load of resources can be balanced in the grid with unused resources, grid computing is like an extreme form of load balancing between SOA applications.
将数据库分布到各个集群成员是实现集群工作负载平衡的最好方法之一。然而，要恰当地分布数据库可能需要大量时间。
Distributing databases among cluster members can be one of the best ways to balance the cluster workload, however, it can be very time consuming to properly distribute the databases.
而且尽管存在通用的TCP负载平衡器，您可能不会喜欢它们使用的负载平衡算法。
And while there are generic TCP load balancers, you may not like the load balancing algorithm they use.
默认情况下，消息是基于队列管理器可用性实现负载平衡的，而不是基于消息使用方应用程序的可用性。
By default, messages are load balanced based on queue manager availability, but they are not load balanced based on the availability of message consumer applications.
如果并发用户的数量超过100，性能有所下降，这可以是负载平衡的一种候选方案。
If the number of concurrent users exceeds 100 and there is performance degradation, this would be a candidate for load-balancing.
智能负载分发集成了负载平衡功能和新的会话亲和性支持，从而可以根据需要提供智能的负载平衡和会话亲和性混合。
Intelligent load distribution integrates the load balancing function with the new session affinity support to provide an intelligent mix of load balancing and session affinity, as required.
在工作负载平衡的端点引用(epr)情况下，请求在集群中的服务器之间进行负载平衡。
In the case of workload balanced end point references (EPR), the request is load balanced across servers in the cluster.
这是一个独特的特性，因为云提供商可能不支持用于负载平衡的专门硬件。
This is a unique feature because cloud providers may not support specialized hardware for load balancing.
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