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    • 5. 发明授权
    • System and method for read-ahead enhancements
    • 用于预读增强的系统和方法
    • US08296678B2
    • 2012-10-23
    • US11029756
    • 2005-01-04
    • Gregory J. BossRick A. Hamilton, IIKevin C. McConnellJames W. Seaman
    • Gregory J. BossRick A. Hamilton, IIKevin C. McConnellJames W. Seaman
    • G06F3/048
    • G06F17/276G06F17/243G06F17/30616G06F17/30631G06F17/30702H04L51/00
    • A method and system is provided for analyzing potential repeatable values for placement into a data field based on user-defined criteria and includes analyzing relationships between documents for the purpose of correlating sender and receiver information into a context to more accurately populate type-ahead functions in repeatable data fields. Threaded messages are typically limited to those messages that are responses to responses or responses to an original message and are usually denoted by terms such as, for example, “forwarded” or “reply to” and where the history of the previous related message is included in the most recent message. However, the invention now expands correlation into non-thread related documents to achieve a higher correlation rate. The expanded documents may be any previous email or associated documents of a sender or receiver, including any documents defined by user criteria. In the case of stand-alone applications such as word processors, any user associated document, as defined by user criteria may be included in a contextual association for purposes of type-ahead analysis.
    • 提供了一种方法和系统,用于基于用户定义的标准分析用于放置到数据字段中的潜在可重复值,并且包括分析文档之间的关系,以将发送者和接收者信息相关联到上下文中,以更准确地填充前面提到的类型的功能 可重复的数据字段。 线程消息通常限于作为对原始消息的响应或响应的响应的那些消息,并且通常由诸如例如转发或回复之类的术语表示,并且其中先前相关消息的历史被包括在最新的消息中 信息。 然而,本发明现在将相关性扩展到非线程相关文档以实现更高的相关性。 扩展文档可以是发送者或接收者的任何先前的电子邮件或相关联的文档,包括由用户标准定义的任何文档。 在诸如文字处理器的独立应用的情况下,由用户标准定义的任何用户相关联的文档可以被包括在上下文关联中,用于提前分析。
    • 8. 发明授权
    • System, method, and service for efficient allocation of computing resources among users
    • 系统,方法和服务,用于在用户之间有效分配计算资源
    • US07681195B2
    • 2010-03-16
    • US10816619
    • 2004-04-02
    • Gregory J. BossRick A. Hamilton, IIKevin C. McConnellJames W. Seaman
    • Gregory J. BossRick A. Hamilton, IIKevin C. McConnellJames W. Seaman
    • G06F9/46
    • G06Q10/06
    • A computing resource allocation system allocates hardware and software resources among employees, based upon a combination of the employee level, job function, and demonstrated workstation performance within the context of the job requirements of the employee and usage patterns of the computing resource. The system collects various performance data for computing resources. A set of policy rules is applied to the collected performance data and processed by the present system. Consequently, the present system automatically identifies and prioritizes employees in need of technology upgrades and replacements based on business needs and available resources. Performance data of a computing resource is captured and transmitted to a central collection agency. From the performance data, the present system determines when partial upgrades, such as memory additions or faster adapters are appropriate based on system performance or errors. In addition, the present system determines when a computing resource experiences continuous performance problems.
    • 计算资源分配系统根据员工的工作需求和计算资源的使用模式的上下文中的员工级别,工作职能和演示的工作站性能的组合,在员工之间分配硬件和软件资源。 系统收集用于计算资源的各种性能数据。 一组策略规则被应用于收集的性能数据并由本系统处理。 因此,本系统根据业务需求和可用资源自动识别和优先考虑需要技术升级和更换的员工。 捕获计算资源的性能数据并将其传输到中央收集代理。 根据性能数据,本系统基于系统性能或错误确定部分升级的时间,如内存添加或更快的适配器是否合适。 此外,本系统确定计算资源何时经历持续的性能问题。