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    • 94. 发明授权
    • Dynamically translating resource identifiers for request routing using popularity information
    • 使用受欢迎度信息动态地翻译用于请求路由的资源标识符
    • US08521885B1
    • 2013-08-27
    • US13621066
    • 2012-09-15
    • David R. RichardsonBradley E. MarshallSwaminathan Sivasubramanian
    • David R. RichardsonBradley E. MarshallSwaminathan Sivasubramanian
    • G06F13/00
    • H04L67/327G06F13/00H04L61/1511H04L67/02H04L67/42
    • A system, method and computer-readable medium for request routing based on content popularity information are provided. A client computer transmits a request for content from a content provider. The content provider utilizes executable code, such as translation request code, for facilitating request routing utilizing popularity information. The translation request code, may direct a client computing device to request further translation request code and/or translation information. Thereafter, the client issues a DNS query with the translated information including popularity information. The content delivery network service provider can then either resolve the DNS query with an IP address of a cache component or transmit another alternative resource identifier that will resolve to the content delivery network service provider. The process can repeat until a DNS nameserver resolves a DNS query from the client computing device.
    • 提供了一种基于内容流行度信息的用于请求路由的系统,方法和计算机可读介质。 客户端计算机从内容提供商发送对内容的请求。 内容提供者利​​用诸如翻译请求代码的可执行代码来促进利用流行度信息的请求路由。 翻译请求代码可指示客户端计算设备请求进一步的翻译请求代码和/或翻译信息。 此后,客户端发布包含受欢迎程度信息的翻译信息的DNS查询。 然后,内容递送网络服务提供商可以用缓存组件的IP地址来解析DNS查询,或者传送将解析到内容递送网络服务提供商的另一替代资源标识符。 该过程可以重复,直到DNS名称服务器从客户端计算设备解析DNS查询。
    • 98. 发明授权
    • Resource isolation through reinforcement learning
    • 资源隔离通过强化学习
    • US08429096B1
    • 2013-04-23
    • US12059702
    • 2008-03-31
    • Gokul SoundararajanSwaminathan SivasubramanianGrant A. M. McAlisterRajesh S. Sheth
    • Gokul SoundararajanSwaminathan SivasubramanianGrant A. M. McAlisterRajesh S. Sheth
    • G06F15/18
    • G06F17/30306G06F9/5005G06F2209/5013
    • Systems and methods for providing resource isolation in a shared computing environment using reinforcement learning (RL) techniques are disclosed. A resource isolation mechanism may be applied in a shared storage system, or database service, that limits the resource utilization of each namespace to its specified allocation. For example, the resource isolation mechanism may be used to limit the I/O utilization of database applications in a shared computing system (e.g., a system supporting a database service) to a specified limit. In such embodiments, RL techniques may be applied to the system to automatically control the rate of queries made by an application. RL techniques, such as those based on the State-Action-Reward-State-Action (SARSA) method may be effective in controlling the I/O utilization of database applications for different workloads. RL techniques may be applied globally by the service, or may be applied to particular subscribers, applications, shared resources, namespaces, or query types.
    • 公开了使用强化学习(RL)技术在共享计算环境中提供资源隔离的系统和方法。 资源隔离机制可以应用在共享存储系统或数据库服务中,将每个命名空间的资源利用率限制到其指定的分配。 例如,资源隔离机制可以用于将共享计算系统(例如,支持数据库服务的系统)中的数据库应用的I / O利用率限制到指定的限制。 在这样的实施例中,可以将RL技术应用于系统以自动控制由应用进行的查询的速率。 RL技术,例如基于状态 - 行动 - 奖励 - 国家行动(SARSA)方法的技术可能有效地控制数据库应用程序对不同工作负载的I / O利用率。 RL技术可以由服务全局应用,或者可以应用于特定订户,应用,共享资源,命名空间或查询类型。