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    • 3. 发明申请
    • Decentralized Relaying Algorithm for Mobile Devices
    • 移动设备的分散式中继算法
    • US20120309358A1
    • 2012-12-06
    • US13150535
    • 2011-06-01
    • Dinan GunawardenaThomas KaragiannisAlexandre ProutiereMilan Vojnovic
    • Dinan GunawardenaThomas KaragiannisAlexandre ProutiereMilan Vojnovic
    • H04W4/12
    • H04W88/04
    • A decentralized relaying algorithm for mobile devices is described. In an embodiment, a mobile device acts as a relay within a network of mobile devices and on contact with a source device downloads messages from the source according to a locally stored relaying probability for each channel of information within the network. These messages are subsequently downloaded to another device which is the end user of the message. Where the relay does not download the message from the source as a result of the decision made based on the relaying probability, a virtual message is downloaded which comprises metadata only and not the payload of the message. The relay updates the stored relaying probabilities for each channel based on locally observable information which includes feedback received from mobile devices to which the relay has downloaded messages. The feedback identifies unique paths for the payload of messages through the network.
    • 描述了用于移动设备的分散中继算法。 在一个实施例中,移动设备充当移动设备的网络内的中继器,并且在与源设备接触的情况下,根据网络内的每个信道信道的本地存储的中继概率来从源下载消息。 这些消息随后被下载到消息的最终用户的另一设备。 由于作为基于中继概率的决定的结果,中继器不从源地下载消息,所以下载虚拟消息,其仅包含元数据而不是消息的有效载荷。 继电器基于本地可观察到的信息更新每个信道的存储的中继概率,该信息包括从中继已下载消息的移动设备接收到的反馈。 反馈通过网络识别消息有效载荷的唯一路径。
    • 4. 发明授权
    • Decentralized relaying algorithm for mobile devices
    • 移动设备的分散中继算法
    • US08886731B2
    • 2014-11-11
    • US13150535
    • 2011-06-01
    • Dinan GunawardenaThomas KaragiannisAlexandre ProutiereMilan Vojnovic
    • Dinan GunawardenaThomas KaragiannisAlexandre ProutiereMilan Vojnovic
    • G06F15/16H04W88/04
    • H04W88/04
    • A decentralized relaying algorithm for mobile devices is described. In an embodiment, a mobile device acts as a relay within a network of mobile devices and on contact with a source device downloads messages from the source according to a locally stored relaying probability for each channel of information within the network. These messages are subsequently downloaded to another device which is the end user of the message. Where the relay does not download the message from the source as a result of the decision made based on the relaying probability, a virtual message is downloaded which comprises metadata only and not the payload of the message. The relay updates the stored relaying probabilities for each channel based on locally observable information which includes feedback received from mobile devices to which the relay has downloaded messages. The feedback identifies unique paths for the payload of messages through the network.
    • 描述了用于移动设备的分散中继算法。 在一个实施例中,移动设备充当移动设备的网络内的中继器,并且在与源设备接触的情况下,根据网络内的每个信道信道的本地存储的中继概率来从源下载消息。 这些消息随后被下载到消息的最终用户的另一设备。 由于作为基于中继概率的决定的结果,中继器不从源地下载消息,所以下载虚拟消息,其仅包含元数据而不是消息的有效载荷。 继电器基于本地可观察到的信息更新每个信道的存储的中继概率,该信息包括从中继已下载消息的移动设备接收到的反馈。 反馈通过网络识别消息有效载荷的唯一路径。
    • 6. 发明授权
    • Allocating tasks to machines in computing clusters
    • 将任务分配给计算集群中的计算机
    • US08695009B2
    • 2014-04-08
    • US13089081
    • 2011-04-18
    • Milan VojnovicAmin Karbasi
    • Milan VojnovicAmin Karbasi
    • G06F9/46
    • G06F9/5033G06F9/5038
    • Allocating tasks to machines in computing clusters is described. In an embodiment a set of tasks associated with a job are received at a scheduler. In an embodiment an index can be computed for each combination of tasks and processors and stored in a lookup table. In an example the index may be include an indication of the preference for the task to be processed on a particular processor, an indication of a waiting time for the task to be processed and an indication of how other tasks being processed in the computing cluster may be penalized by assigning a task to a particular processor. In an embodiment tasks are assigned to a processor by accessing the lookup table, selecting a task for processing using the index and scheduling the selected task for allocation to a processor.
    • 描述了将任务分配到计算群集中的计算机。 在一个实施例中,在调度器处接收与作业相关联的一组任务。 在一个实施例中,可以为任务和处理器的每个组合计算索引并存储在查找表中。 在一个示例中,索引可以包括对要在特定处理器上处理的任务的偏好的指示,要处理的任务的等待时间的指示以及在计算集群中如何处理其他任务的指示 通过将任务分配给特定处理器来处罚。 在一个实施例中,通过访问查找表将任务分配给处理器,选择使用索引进行处理的任务并调度所选择的任务以分配给处理器。
    • 8. 发明申请
    • COUNT TRACKING IN DISTRIBUTED ENVIRONMENTS
    • 在分布式环境中进行追踪
    • US20130246608A1
    • 2013-09-19
    • US13420612
    • 2012-03-15
    • Zhenming LiuBozidar RadunovicMilan Vojnovic
    • Zhenming LiuBozidar RadunovicMilan Vojnovic
    • G06F15/173
    • H04L43/024H04L41/069H04L43/026H04L43/028
    • Count tracking in distributed environments is described, for example, as in data centers where many sites receive data and a coordinator node estimates a sum of the data received across the sites. Count tracking may be used in database applications, search engines, social networking applications and others. In various embodiments sites and a coordinator node work together to implement a process for summing data received at sites, where the sum takes into account both increments and decrements. In examples, a site decides whether to notify the coordinator node of a new data item according to a sampling probability that is related to an estimate of the current global sum of the data input across sites. In some examples a multi-mode algorithm is implemented which increases or decreases communication between the sites and the coordinator node according to behavior of the estimated global sum such that communications costs are optimized.
    • 在分布式环境中的计数跟踪被描述为例如在许多站点接收数据的数据中心,并且协调器节点估计跨站点接收的数据的总和。 计数跟踪可用于数据库应用程序,搜索引擎,社交网络应用程序等。 在各种实施例中,站点和协调器节点一起工作以实现用于对在站点处接收的数据进行求和的过程,其中所述总和考虑了增量和减量。 在示例中,站点根据与跨站点的数据输入的当前全局和的估计相关联的抽样概率来决定是否向协调器节点通知新数据项。 在一些示例中,实现了多模式算法,其根据估计的全局和的行为增加或减少站点和协调器节点之间的通信,使得优化通信成本。
    • 10. 发明申请
    • Allocation of Resources
    • 资源分配
    • US20110213669A1
    • 2011-09-01
    • US12714238
    • 2010-02-26
    • Milan VojnovicThanh Tien Nguyen
    • Milan VojnovicThanh Tien Nguyen
    • G06Q30/00G06F15/16
    • G06Q30/02G06Q10/06G06Q30/0275G06Q30/08
    • Allocation of resources is described for example, where the resources are computers, communications network resources or advertisement slots. In an example a weighted proportional resource allocation mechanism is described in which a resource provider seeks to maximize revenue whilst users seek to maximize their satisfaction in terms of the utility of any resource allocation they receive minus any payment they make for the resource allocation. In an example, the provider determines discrimination weights (using information about resource constraints and other factors). For example, the discrimination weights are published to the users; the users submit bids for the resources in the knowledge of the discrimination weights and the provider allocates the resources according to the bids and the discrimination weights. In an example keyword auctions for sponsored search are considered where the resources are advertisement slots and where the constraints include the relative positions of the advertisements.
    • 描述资源的分配,例如,其中资源是计算机,通信网络资源或广告时隙。 在一个示例中,描述了一种加权比例资源分配机制,其中资源提供者寻求最大化收入,而用户寻求使其满足的任何资源分配的效用最大化,减去他们为资源分配所做的任何支付。 在一个示例中,提供商确定歧视权重(使用关于资源约束和其他因素的信息)。 例如,将歧视权重发布给用户; 用户在辨认权重的知识中提交资源投标,提供者根据投标和歧视权重分配资源。 在示例中,关注赞助搜索的关键字拍卖被认为是资源是广告时隙的位置,并且约束包括广告的相对位置。