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    • 3. 发明申请
    • Tracking resource usage by applications
    • 跟踪应用程序的资源使用情况
    • US20070016893A1
    • 2007-01-18
    • US11181716
    • 2005-07-14
    • Steven BrandaBhushan LokhandeJohn Stecher
    • Steven BrandaBhushan LokhandeJohn Stecher
    • G06F9/44
    • G06F11/3476G06F2201/88
    • A method, apparatus, system, and signal-bearing medium that, in an embodiment, create a tag that identifies an application, store the tag in a class of the application, and count a number of times the tag appears in an entry nearest a top of a runtime stack. Counting the number of times the tag appears may include finding an entry nearest a top of a runtime stack that includes the tag and incrementing a count associated with the tag in response to the finding. The creating is performed in response to submission of the application to an application server. In an embodiment, the tag is created based on a cryptographic hash of an archive file that contains the application. In response to a method associated with the class requesting a remote service, the tag is embedded in a remote service request message, which is sent to a remote application server, where the tag is stored in a service class.
    • 一种方法,装置,系统和信号承载介质,其在一个实施例中创建识别应用的标签,将标签存储在应用程序的类中,并且计数标签在最接近的条目中出现的次数 运行时堆栈的顶部。 对代码出现的次数进行计数可能包括查找最近距离运行时堆栈顶部的条目,其中包含标签,并增加与标签相关联的计数以响应发现。 响应于向应用服务器提交应用而执行创建。 在一个实施例中,基于包含应用的归档文件的加密散列来创建标签。 响应于与请求远程服务的类相关联的方法,标签被嵌入到远程服务请求消息中,该消息被发送到远程应用服务器,其中标签被存储在服务类中。
    • 4. 发明申请
    • Selecting grid executors via a neural network
    • 通过神经网络选择网格执行器
    • US20070005530A1
    • 2007-01-04
    • US11138938
    • 2005-05-26
    • Randall BaartmanSteven BrandaSurya DuggiralaJohn StecherRobert Wisniewski
    • Randall BaartmanSteven BrandaSurya DuggiralaJohn StecherRobert Wisniewski
    • G06F15/18
    • G06F9/5066
    • A method, apparatus, system, and signal-bearing medium that, in an embodiment, send units of work to grid executors, create training data based on the performance of the grid executors, and train a neural network via the training data. The training data includes pairs of input and output data, where the input data is the types of the units of work and the output data is the service strengths of the grid executors. Once the neural network has been trained, subsequent units of work have their grid executors selected by inputting the types of the units of work to the neural network and receiving a service strength from the neural network as output. The grid executors are then selected based on the output service strength from the neural network. In this way, in an embodiment, the grid performance may be increased.
    • 一种在一个实施例中,向网格执行器发送工作单元的方法,装置,系统和信号承载介质,基于网格执行器的性能创建训练数据,并且经由训练数据训练神经网络。 培训数据包括输入和输出数据对,其中输入数据是工作单元的类型,输出数据是网格执行器的服务强度。 一旦神经网络被训练,随后的工作单元通过将神经网络的工作单元的类型输入并从神经网络接收服务强度作为输出来选择其网格执行器。 然后基于来自神经网络的输出服务强度来选择网格执行器。 以这种方式,在一个实施例中,可以增加电网性能。
    • 5. 发明申请
    • Apparatus and method for high-availability identification and application installation
    • 高可用性识别和应用安装的装置和方法
    • US20070226324A1
    • 2007-09-27
    • US11388010
    • 2006-03-23
    • Steven BrandaJohn Stecher
    • Steven BrandaJohn Stecher
    • G06F15/173
    • G06F8/61G06F11/1482
    • An apparatus and method is described for identification of applications that benefit from HA features and assisting a system administrator in the installation of the applications in an application server with HA features configured properly for run-time operation. In preferred embodiments, an HA policy engine allows a system administrator to set up one or more general HA policies in a policy table. In a preferred embodiment, an HA run-time engine uses the policies in the policy table to configure new applications being installed in the application server. Other embodiments include an application inspection unit that introspects the byte code of the application as well as deployment descriptors to determine which features and APIs are being used that can take advantage of HA functions.
    • 描述了一种用于识别从HA特征中获益的应用的装置和方法,并且帮助系统管理员在具有为运行时操作正确配置的HA特征的应用服务器中安装应用。 在优选实施例中,HA策略引擎允许系统管理员在策略表中设置一个或多个通用HA策略。 在优选实施例中,HA运行时引擎使用策略表中的策略来配置正在安装在应用服务器中的新应用。 其他实施例包括内省应用程序的字节代码以及部署描述符的应用检查单元,以确定正在使用哪些特征和API,其可以利用HA功能。
    • 6. 发明申请
    • Apparatus and method for creating a real-time class package to class archive file mapping index
    • 用于创建一个实时类包的装置和方法,用于归档文件映射索引
    • US20070198974A1
    • 2007-08-23
    • US11351240
    • 2006-02-09
    • Steven BrandaJohn Stecher
    • Steven BrandaJohn Stecher
    • G06F9/44
    • G06F9/445Y10S707/99943
    • According to the preferred embodiments, an apparatus and method is described for creating a real-time class package to class archive file mapping index that improves the performance of a class loader to load needed classes in an object oriented programming environment. In preferred embodiments, the class loader includes a mapping mechanism that creates and maintains a real-time class package to file archive mapping index. In preferred embodiments, the mapping mechanism optimizes access to the file archive mapping index. In a preferred embodiment, when the mapping mechanism finds a entry in the file archive mapping index for the package, but the class is not found, the class is searched in the class path beginning from the last file archive listed in the index to optimize the search. In other embodiments, the class loader includes a large package list that is used to further optimize access to the archive index.
    • 根据优选实施例,描述了一种用于创建类归档文件映射索引的实时类包的装置和方法,其提高了类加载器在面向对象编程环境中加载所需类的性能。 在优选实施例中,类加载器包括映射机制,其创建并维护实时类包至文件归档映射索引。 在优选实施例中,映射机制优化对文件归档映射索引的访问。 在优选实施例中,当映射机制在包的文件归档映射索引中找到条目,但是找不到该类时,在类路径中搜索该类,从索引中列出的最后一个文件归档开始,以优化 搜索。 在其他实施例中,类加载器包括用于进一步优化对归档索引的访问的大的包列表。
    • 8. 发明申请
    • Maintaining the integrity of a copy list
    • 维护复制列表的完整性
    • US20070005706A1
    • 2007-01-04
    • US11154875
    • 2005-06-16
    • Steven BrandaJohn StecherRobert Wisniewski
    • Steven BrandaJohn StecherRobert Wisniewski
    • G06F15/16
    • G06Q10/107
    • A method, apparatus, system, and signal-bearing medium that, in an embodiment, determine that a second e-mail is associated with a first e-mail and that one of the recipients of the first e-mail was a blind-copy recipient, and, in response, send the second e-mail to the blind-copy recipient of the first e-mail. In various embodiments, the second e-mail may be a reply to or a forward of the first e-mail. In an embodiment, the second e-mail has an encrypted portion, which includes an identifications of the blind-copy recipient, the sender of the first e-mail, and the other recipients of the first e-mail. The blind-copy recipient of the first e-mail is not identified in the first e-mail to the other recipients of the first e-mail. In this way, blind-copy recipients of e-mails may be notified of further associated e-mails.
    • 一种方法,装置,系统和信号承载介质,其在一个实施例中确定第二电子邮件与第一电子邮件相关联,并且第一电子邮件的接收者之一是盲复制 收件人,并且作为回应,将第二封电子邮件发送到第一封电子邮件的复制收件人。 在各种实施例中,第二电子邮件可以是对第一电子邮件的回复或转发。 在一个实施例中,第二电子邮件具有加密部分,其包括盲复制接收者的标识,第一电子邮件的发送者以及第一电子邮件的其他接收者。 第一封电子邮件的复制收件人在第一封电子邮件中没有识别到​​第一封电子邮件的其他收件人。 以这种方式,电子邮件的盲复制收件人可能会被通知进一步的相关电子邮件。
    • 10. 发明申请
    • Logging lock data
    • 记录锁定数据
    • US20070067777A1
    • 2007-03-22
    • US11232750
    • 2005-09-22
    • Steven BrandaJohn Stecher
    • Steven BrandaJohn Stecher
    • G06F9/46
    • G06F9/52G06F11/3476
    • A method, apparatus, system, and signal-bearing medium that, in an embodiment, wait for expiration of a poll interval and in response to expiration of the poll interval, retrieve data regarding locks on objects and store the data in a log. In an embodiment, the stored data may include an identifier of the lock, a name of a class from which the threads were instantiated, a number of the threads, and a thread stack. The threads are waiting on the locks, and the lock wait times for the threads are calculated and stored in the log. The lock wait time is the time that the respective thread has waited on the lock. If any of the lock wait times exceeds a threshold, an identifier of the thread associated with the lock wait time that exceeds the threshold is stored in the log.
    • 一种方法,装置,系统和信号承载介质,在一个实施例中,等待轮询间隔的期满并且响应于轮询间隔的期满,检索关于对象上的锁定的数据并将数据存储在日志中。 在一个实施例中,存储的数据可以包括锁的标识符,被实例化线程的类的名称,线程的数量和线程栈。 线程正在等待锁定,并且线程的锁等待时间被计算并存储在日志中。 锁等待时间是各个线程在锁上等待的时间。 如果任何锁定等待时间超过阈值,则与锁定等待时间超过阈值的线程的标识符存储在日志中。