• Concurrent application development is a complicated task.

    并发应用的开发是一个复杂的课题。

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  • When a table holds a Z lock, no concurrent application can read or update data in that table.

    当表持有z锁时,任何并发应用程序都不能读取和更新该表中的数据。

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  • This controls the resources, such as the total application heap, consumed by the concurrent applications on the DB2 server.

    它控制DB 2服务器上并发应用程序消耗的资源,比如总应用程序堆。

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  • In most cases, set MAXAGENTS and NUM_POOLAGENTS to a value that slightly exceeds the maximum expected number of concurrent application connections.

    在大多数情况下,将MAXAGENTS和NUM _ POOLAGENTS的值设置成略微大于并发应用程序连接的最大预计数目。

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  • The reason they wanted to separate the instances and have both servers running was to decrease the possibility of multiple concurrent application failures.

    他们需要分隔实例以及同时运行两台服务器的理由就是为了降低多个并发应用程序发生故障的可能性。

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  • Because each application that attaches to a database requires some private memory to be allocated, allowing a larger number of concurrent applications will use more memory.

    由于需要给连接到数据库的每个应用程序分配一些私有内存,因此允许有更多并发应用程序将意味着用去更多内存。

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  • Designing a concurrent application involves determining the necessary number of processes or threads, their particular responsibilities, and the methods by which they interact.

    设计并发应用,需要考虑进程和线程的所需数量、它们各自的任务以及它们实现交互的方法。

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  • An obvious practical application of this approach is the prevention of flooding endpoint systems that cannot process high volumes of concurrent requests.

    此方法的一个明显的实际应用就是防止端点系统因为无法处理过量的并发请求而崩溃。

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  • To tune performance when using concurrent message delivery, we must turn our attention to a number of object pools managed by the application server.

    为了在使用并发消息传递时优化性能,我们必须将注意力转向应用程序服务器托管的许多对象池。

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  • As a result, most typical concurrent or parallel application deployment scenarios can be safely executed without any additional effort on the part of the system administrator.

    结果,大多数典型的并发或并行应用程序部署场景都可安全执行,无需系统管理员方面的任何额外努力。

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  • With regard to application deployment, a special provision is made for supporting the concurrent deployment of applications.

    对于应用程序部署,为了支持应用程序的并发部署,对其进行了一个特殊配置。

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  • Concurrent deployment of different applications to the same application server or to the same application server cluster.

    向相同的应用程序服务器或相同的应用程序服务器群集并发部署不同的应用程序。

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  • Additionally, application servers can maintain multiple instances of an MDB to handle concurrent service requests.

    此外,应用服务器可以维护一个MDB的多个实例,来处理并发的服务请求。

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  • These allocations take the form of how many concurrent requests of each service policy are allowed through to the application servers at a time.

    这些分配采用的形式是,对于每个服务策略,每次可以同时发送给应用服务器的请求数量。

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  • With midrange and high end POWER7 systems, concurrent maintenance support enables continuous application availability.

    在中高端POWER 7系统中,并发维护支持使持续应用程序可用性成为可能。

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  • To support concurrent requests, you will need to extend the JMS client to spawn multiple threads, or launch multiple JVM instances, each running the application.

    为了支持并发请求,您需要扩展JMS客户机,使其产生多个线程,或者启动多个JVM实例,让这些线程或实例各自运行应用。

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  • Because multiple concurrent XML HTTP requests can be scheduled in parallel, our application essentially becomes a concurrent program — and concurrency is hard.

    由于可能同时调度多个并发的XMLHTTP请求,应用程序本质上变成了一个并发程序,而并发很难实现。

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  • The classic discussion application database scaled up to 200 concurrent users.

    这个经典的讨论应用程序数据库可扩展至 200个并发用户。

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  • In a very simplistic situation where a user-base application is CPU bound, it would be ideal to create a matrix that compares processor allocation to a reasonable number of concurrent users.

    在用户应用程序受限于CPU的情况下,建立一个基准比较处理器的分配和合理的并发用户数非常理想。

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  • That means application 1 may use INDEX 1, while application 2 uses INDEX 2, but concurrent use of INDEX 1 in both applications is not allowed.

    这意味着,应用程序1可能使用索引 1,同时应用程序2使用索引 2,但是不允许两个应用程序中同时使用索引 1 。

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  • Concurrent deployment of different applications to different application servers or to different application server clusters.

    向不同的应用程序服务器或不同的应用程序服务器群集并发部署不同的应用程序。

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  • The application can continue processing and handle more concurrent traffic because resources are not tied up waiting for responses.

    应用程序能继续处理更多并发流量,因为资源没有被绑定为等待响应。

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  • Once all the concurrent work is done, or if free memory is exhausted ahead of schedule, the application is halted and the collection is completed.

    如果已经完成所有并发工作,或者闲置内存提前耗尽,则将中止应用程序并完成收集工作。

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  • There can be no concurrent users (the application has exclusive access to the database files), but there are no additional threads nor TCP connection overhead.

    不能存在并发用户(应用程序独占地访问数据库文件),但因此也没有额外的线程和TCP连接开销。

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  • Supporting the same number of Concurrent users in these types of application will require larger system capacity.

    在这些类型的应用程序中支持相同数量的Concurrent用户将需要更大的系统容量。

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  • In addition to considering the requirements of the average number of Concurrent users, the complexity of your application also influences the resources required.

    除了考虑Concurrent用户平均数的需求外,您的应用程序的复杂性也会影响资源需求。

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  • Enterprise beans in WebSphere Application Server 3.0 now support multiple concurrent transactions with full two-phase commit and rollback capabilities across multiple DB2 data sources.

    WebSphereApplicationServer 3.0中的企业bean现在支持具有跨多个DB2数据源完全两阶段提交和回滚能力的多个并发事务。

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  • Report and query processing will be influenced by both the number of Concurrent users as well as by the complexity of your application.

    报告和查询处理将受Concurrent用户数量和您应用程序复杂性的影响。

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  • Prior to WebSphere Application Server V6.x, a one-to-one mapping existed between the number of concurrent client connections and the threads in the Web container thread pool.

    在WebSphereApplicationServerV6.x 之前,在并发客户端连接数和Web容器线程池中的线程数之间存在一对一的映射。

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  • However, the flaw in this simple example is the probability that the Internet-facing portal application is extremely popular and may have tens of thousands of concurrent users online at any time.

    不过,这个简单示例的一个缺陷是,如果该面向Internet的门户应用程序极为受欢迎,则可能在任何时候都有数万在线并发用户。

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