专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2018013278A1 METHODS AND SYSTEMS FOR USING SELF-LEARNING TECHNIQUES TO PROTECT A WEB APPLICATION 审中-公开
标题翻译：用于使用自学习技术来保护WEB应用的方法和系统
公开(公告)号：WO2018013278A1
公开(公告)日：2018-01-18
申请号：PCT/US2017/037279
申请日：2017-06-13
申请人： QUALCOMM INCORPORATED
发明人： CHAO, Hui , ISLAM, Nayeem , CASCAVAL, Gheorghe Calin
IPC分类号： G06F21/55 , G06F21/53 , H04L29/06
CPC分类号： H04L63/1491 , G06F17/18 , G06F21/53 , G06F21/554 , H04L43/0876 , H04L63/02 , H04L63/1425 , H04L67/42
摘要： Various embodiments include methods for protecting a web application server from non-benign web application usage. Embodiment methods may include receiving from a client device a service request message that includes information suitable for causing a web application operating on the web application server to perform one or more operations. In response, a processor, such as within the web application server or another network device, may analyze usage of the web application by the client device via a combination of a honeypot component, a sandboxed detonator component, and a Web Application Firewall (WAF) component. Analysis results may be generated by analyzing the received service request message or a server response message sent by the web application server. The analysis results may be used to identify non-benign web application usage. Actions may be taken to protect the web application server and/or the client device from the identified non-benign web application usage.
摘要翻译：各种实施例包括用于保护web应用服务器免受非良性web应用使用的方法。实施例方法可以包括从客户端设备接收服务请求消息，该服务请求消息包括适合于使在web应用服务器上操作的web应用执行一个或多个操作的信息。作为响应，处理器，诸如Web应用程序服务器或其他网络设备中，可以经由一个蜜罐组件，沙盒雷管组件，和一个Web应用防火墙的组合分析由客户机设备的网络应用的使用情况（WAF）零件。分析结果可以通过分析接收到的服务请求消息或由Web应用服务器发送的服务器响应消息来生成。分析结果可用于识别非良性网络应用程序的使用情况。可采取措施保护Web应用程序服务器和/或客户端设备免遭识别的非良性Web应用程序使用。

2. 发明申请

WO2017172164A1 TIME VARYING ADDRESS SPACE LAYOUT RANDOMIZATION 审中-公开
标题翻译：时变地址空间布局随机化
公开(公告)号：WO2017172164A1
公开(公告)日：2017-10-05
申请号：PCT/US2017/019716
申请日：2017-02-27
申请人： QUALCOMM INCORPORATED
发明人： GATHALA, Sudha Anil Kumar , CASCAVAL, Gheorghe Calin , GUPTA, Rajarshi
IPC分类号： G06F21/52
摘要： Embodiments include computing devices, apparatus, and methods implemented by the apparatus for time varying address space layout randomization. The apparatus may launch first plurality of versions of a system service and assign a random virtual address space layout to each of the first plurality of versions of the system service. The apparatus may receive a first request to execute the system service from a first application. The apparatus may randomly select a first version of the system service from the first plurality of versions of the system service, and execute the system service using data of the first version of the system service.
摘要翻译：实施例包括由用于时变地址空间布局随机化的装置实现的计算设备，装置和方法。该设备可以启动系统服务的第一多个版本并且将随机虚拟地址空间布局分配给系统服务的第一多个版本中的每个版本。该装置可以从第一应用接收执行系统服务的第一请求。该装置可以从系统服务的第一多个版本中随机选择系统服务的第一版本，并且使用系统服务的第一版本的数据来执行系统服务。

3. 发明申请

WO2016022308A2 DIRECTED EVENT SIGNALING FOR MULTIPROCESSOR SYSTEMS 审中-公开
标题翻译：针对多处理器系统的指示事件信号
公开(公告)号：WO2016022308A2
公开(公告)日：2016-02-11
申请号：PCT/US2015/042026
申请日：2015-07-24
申请人： QUALCOMM INCORPORATED
发明人： SUAREZ GRACIA, Dario , ZHAO, Han , MONTESINOS ORTEGO, Pablo , CASCAVAL, Gheorghe Calin , XENIDIS, James
IPC分类号： G06F9/52
CPC分类号： G06F1/3296 , G06F9/4856 , G06F9/4893 , G06F9/526 , Y02D10/24
摘要： Multi-processor computing device methods manage resource accesses by a signaling event manager signaling processor elements requesting access to a resource to wake up to access the resource when the resource is available or wait for an event when the resource is busy. Processor elements may enter a sleep state while awaiting access to the requested resource. When multiple elements are waiting for the resource, the processor element with a highest assigned priority is signaled to wake up when the resource is available without waking other elements. Priorities may be assigned to processor elements waiting for the resource based on a heuristic or parameter that may depend on a state of the computing device or the processor elements. A sleep duration may be estimated for a processor element waiting for a resource and the processor element may be removed from a scheduling queue or assigned another thread during the sleep duration.
摘要翻译：多处理器计算设备方法通过信令事件管理器信令处理器元件管理资源访问，所述信令处理器元件在资源可用时请求访问资源以唤醒资源以访问资源，或在资源占用时等待事件。处理器元件可以在等待访问所请求的资源的同时进入休眠状态。当多个元素正在等待资源时，具有最高分配优先级的处理器元件发出信号，以在资源可用时唤醒，而不唤醒其他元素。可以基于可能依赖于计算设备或处理器元件的状态的启发式或参数将优先级分配给等待资源的处理器元件。可以为等待资源的处理器元件估计睡眠持续时间，并且可以在睡眠持续时间期间将处理器元件从调度队列中移除或分配另一个线程。

4. 发明申请

WO2017034738A1 DATA MANAGEMENT FOR MULTIPLE PROCESSING UNITS USING DATA TRANSFER COSTS 审中-公开
标题翻译：使用数据传输成本的多个处理单元的数据管理
公开(公告)号：WO2017034738A1
公开(公告)日：2017-03-02
申请号：PCT/US2016/044168
申请日：2016-07-27
申请人： QUALCOMM INCORPORATED
发明人： SUAREZ GRACIA, Dario , KUMAR, Tushar , NATARAJAN, Aravind , HASTANTRAM, Ravish , CASCAVAL, Gheorghe Calin , ZHAO, Han
IPC分类号： G06F9/50 , G06F9/48 , G06F11/34 , G06F12/0862 , G06F12/12 , G06F12/0806
CPC分类号： G06F9/48 , G06F9/4806 , G06F9/4831 , G06F9/4837 , G06F9/4843 , G06F9/4881 , G06F9/4893 , G06F9/50 , G06F9/5005 , G06F9/5011 , G06F9/5016 , G06F9/5022 , G06F9/5027 , G06F9/5033 , G06F9/5038 , G06F9/5044 , G06F9/505 , G06F9/5055 , G06F9/5083 , G06F9/5094 , G06F11/3419 , G06F11/3466 , G06F12/0806 , G06F12/0862 , G06F12/12 , G06F12/128 , G06F2212/1016 , G06F2212/62 , Y02D10/22 , Y02D10/24
摘要： Various embodiments include methods for data management in a computing device utilizing a plurality of processing units. Embodiment methods may include generating a data transfer heuristic model based on measurements from a plurality of sample data transfers between a plurality of data storage units. The generated data transfer heuristic model may be used to calculate data transfer costs for each of a plurality of tasks. The calculated data transfer costs may be used to schedule execution of the plurality of tasks in an execution order on selected ones of the plurality of processing units. The data transfer heuristic model may be updated based on measurements of data transfers occurring during the executions of the plurality of tasks (e.g., time, power consumption, etc.). Code executing on the processing units may indicate to a runtime when certain data blocks are no longer needed and thus may be evicted and/or pre-fetched for others.
摘要翻译：各种实施例包括利用多个处理单元的计算设备中的数据管理方法。实施方式可以包括基于来自多个数据存储单元之间的多个采样数据传输的测量来生成数据传输启发式模型。生成的数据传输启发式模型可用于计算多个任务中的每一个的数据传输成本。所计算的数据传输成本可以用于以多个处理单元中的选定的处理单元的执行顺序调度多个任务的执行。可以基于在执行多个任务期间发生的数据传输的测量（例如，时间，功耗等）来更新数据传输启发式模型。在处理单元上执行的代码可以在不再需要某些数据块的情况下向运行时指示，并且因此可以被驱逐和/或预取其他数据块。

5. 发明申请

WO2016144449A1 MEMORY RECLAMATION ON A COMPUTING DEVICE 审中-公开
标题翻译：计算机设备的记忆恢复
公开(公告)号：WO2016144449A1
公开(公告)日：2016-09-15
申请号：PCT/US2016/016515
申请日：2016-02-04
申请人： QUALCOMM INCORPORATED
发明人： NATARAJAN, Aravind , CASCAVAL, Gheorghe Calin
IPC分类号： G06F9/50 , G06F12/02
CPC分类号： G06F12/0253 , G06F3/0608 , G06F3/065 , G06F3/068 , G06F9/5016 , G06F9/5022 , G06F2212/702
摘要： Various embodiments include methods for reclaiming memory in a computing device that may include storing a first pointer pointing to a first memory location storing the beginning of a data structure in which a plurality of threads executing on the computing device may concurrently access the data structure and storing a second pointer pointing to the current beginning of the data structure. In response to performing an operation on the data structure that changes the location of the beginning of the data structure from the first memory location to a second memory location, the second pointer may be updated to point to the second memory location. In response to determining that memory allocated to the data structure may be reclaimed, memory allocated to the data structure, including memory located at the first memory location pointed to by the first pointer, may be reclaimed.
摘要翻译：各种实施例包括用于在计算设备中回收存储器的方法，其可以包括存储指向存储数据结构的开始的第一存储器位置的第一指针，其中在计算设备上执行的多个线程可以同时访问数据结构并存储指向数据结构的当前开始的第二个指针。响应于对将数据结构的开始位置从第一存储器位置改变到第二存储器位置的数据结构进行操作，可以更新第二指针以指向第二存储器位置。响应于确定分配给数据结构的存储器可以被回收，可以回收分配给数据结构的存储器，包括位于第一指针指向的第一存储器位置处的存储器。

6. 发明申请

WO2015191358A1 SYSTEMS AND METHODS OF MANAGING PROCESSOR DEVICE POWER CONSUMPTION 审中-公开
标题翻译：管理处理器设备功耗的系统和方法
公开(公告)号：WO2015191358A1
公开(公告)日：2015-12-17
申请号：PCT/US2015/034169
申请日：2015-06-04
申请人： QUALCOMM INCORPORATED
发明人： PUSUKURI, Kishore Kumar , CASCAVAL, Gheorghe Calin , WEBER, Michael
IPC分类号： G06F9/48 , G06F1/32
CPC分类号： G06F1/324 , G06F1/329 , G06F1/3296 , G06F9/4893 , G06F9/5011 , Y02D10/126 , Y02D10/172 , Y02D10/24
摘要： The aspects include systems and methods of managing processor device power consumption. A processor may determine a thread execution metric for each of a plurality of threads scheduled for execution in a processor comprising a plurality of processing cores. The processor may allocate to a selected processing core or cores those threads whose thread execution metric satisfies a threshold. The processor may reduce a frequency of the selected processing core or cores to reduce the power consumption.
摘要翻译：这些方面包括管理处理器设备功耗的系统和方法。处理器可以为被调度用于在包括多个处理核心的处理器中执行的多个线程中的每一个确定线程执行度量。处理器可以分配给所选择的处理核心或者核心其线程执行度量满足阈值的那些线程。处理器可以降低所选择的处理核心或核心的频率以降低功耗。

7. 发明申请

WO2017052919A1 DATA-DRIVEN ACCELERATOR FOR MACHINE LEARNING AND RAW DATA ANALYSIS 审中-公开
标题翻译：数据驱动加速器，用于机器学习和RAW数据分析
公开(公告)号：WO2017052919A1
公开(公告)日：2017-03-30
申请号：PCT/US2016/048385
申请日：2016-08-24
申请人： QUALCOMM INCORPORATED
发明人： ROBATMILI, Behnam , BADIN, Matthew Leslie , SUÁREZ GRACIA, Dario , CASCAVAL, Gheorghe Calin , ISLAM, Nayeem
IPC分类号： G06N7/06 , G06F15/80
CPC分类号： G06N99/005 , G06F15/8092
摘要： Embodiments include computing devices, apparatus, and methods implemented by the apparatus for accelerating machine learning on a computing device. Raw data may be received in the computing device from a raw data source device. The apparatus may identify key features as two dimensional matrices of the raw data such that the key features are mutually exclusive from each other. The key features may be translated into key feature vectors. The computing device may generate a feature vector from at least one of the key feature vectors. The computing device may receive a first partial output resulting from an execution of a basic linear algebra subprogram (BLAS) operation using the feature vector and a weight factor. The first partial output may be combined with a plurality of partial outputs to produce an output matrix. Receiving the raw data on the computing device may include receiving streaming raw data.
摘要翻译：实施例包括由用于加速计算设备上的机器学习的装置实现的计算设备，设备和方法。可以从原始数据源设备在计算设备中接收原始数据。该装置可以将关键特征识别为原始数据的二维矩阵，使得关键特征彼此相互排斥。关键特征可以转化为关键特征向量。计算设备可以从至少一个关键特征向量生成特征向量。计算设备可以使用特征向量和权重因子来接收由执行基本线性代数子程序（BLAS）操作产生的第一部分输出。第一部分输出可以与多个部分输出组合以产生输出矩阵。在计算设备上接收原始数据可以包括接收流原始数据。

8. 发明申请

WO2017019212A1 METHOD FOR SIMPLIFIED TASK-BASED RUNTIME FOR EFFICIENT PARALLEL COMPUTING 审中-公开
标题翻译：用于简化基于任务的运行时间进行有效并行计算的方法
公开(公告)号：WO2017019212A1
公开(公告)日：2017-02-02
申请号：PCT/US2016/038925
申请日：2016-06-23
申请人： QUALCOMM INCORPORATED
发明人： ZHAO, Han , MONTESINOS ORTEGO, Pablo , RAMAN, Arun , ROBATMILI, Behnam , CASCAVAL, Gheorghe Calin
IPC分类号： G06F9/48
CPC分类号： G06F9/52 , G06F9/4843
摘要： Aspects include computing devices, systems, and methods for implementing scheduling and execution of lightweight kernels as simple tasks directly by a thread without setting up a task structure. A computing device may determine whether a task pointer in a task queue is a simple task pointer for the lightweight kernel. The computing device may schedule a first simple task for the lightweight kernel for execution by the thread. The computing device may retrieve, from an entry of a simple task table, a kernel pointer for the lightweight kernel. The entry in the simple task table may be associated with the simple task pointer. The computing device may directly execute the lightweight kernel as the simple task.
摘要翻译：方面包括计算设备，系统和方法，用于直接通过线程实现轻量级内核的调度和执行，而无需设置任务结构。计算设备可以确定任务队列中的任务指针是否是轻量级内核的简单任务指针。计算设备可以安排轻量级内核的第一简单任务以供线程执行。计算设备可以从简单任务表的条目中检索轻量级内核的内核指针。简单任务表中的条目可能与简单任务指针相关联。计算设备可以直接执行轻量级内核作为简单任务。

9. 发明申请

WO2016148840A1 METHODS AND SYSTEMS FOR AUTOMATED ANONYMOUS CROWDSOURCING OF CHARACTERIZED DEVICE BEHAVIORS 审中-公开
标题翻译：用于自动化特征化设备行为的方法和系统
公开(公告)号：WO2016148840A1
公开(公告)日：2016-09-22
申请号：PCT/US2016/018669
申请日：2016-02-19
申请人： QUALCOMM INCORPORATED
发明人： SALAJEGHEH, Mastooreh , MAHMOUDI, Mona , SRIDHARA, Vinay , CHRISTODORESCU, Mihai , CASCAVAL, Gheorghe Calin
IPC分类号： G06F21/62 , G06F21/55 , G06F9/46 , G06F11/34 , H04W24/00 , H04W24/02 , H04L29/06 , G06F21/50
CPC分类号： H04L63/1441 , G06F9/46 , G06F11/3409 , G06F21/552 , G06F21/6254 , H04L63/0421 , H04L63/1416 , H04L63/1425 , H04W12/02 , H04W12/12 , H04W24/10
摘要： Methods, and devices implementing the methods, use device-specific classifiers in a privacy-preserving behavioral monitoring and analysis system for crowd-sourcing of device behaviors. Diverse devices having varying degrees of "smart" capabilities may monitor operational behaviors. Gathered operational behavior information may be transmitted to a nearby device having greater processing capabilities than a respective collecting device, or may be transmitted directly to an "always on" device. The behavior information may be used to generate behavior vectors, which may be analyzed for anomalies. Vectors containing anomaly flags may be anonymized to remove any user-identifying information and subsequently transmitted to a remote recipient such as a service provider or device manufacture. In this manner, operational behavior information may be gathered about different devices from a large number of users, to obtain statistical analysis of operational behavior for specific makes and models of devices, without divulging personal information about device users.
摘要翻译：方法和实现方法的设备在隐私保护行为监控和分析系统中使用设备特定的分类器，用于人群来源的设备行为。具有不同程度的“智能”能力的不同装置可以监视操作行为。聚集的操作行为信息可以被发送到具有比相应的收集装置更大的处理能力的附近设备，或者可以直接传送到“始终处于”设备。行为信息可以用于生成行为矢量，可以对异常进行分析。可以对包含异常标志的向量进行匿名处理，以消除任何用户识别信息，并随后发送到诸如服务提供商或设备制造的远程接收者。以这种方式，可以从大量用户收集关于不同设备的操作行为信息，以获得关于特定设备和型号的操作行为的统计分析，而不泄漏关于设备用户的个人信息。

10. 发明申请

WO2014092883A1 SYSTEM AND METHOD FOR ALLOCATING MEMORY TO DISSIMILAR MEMORY DEVICES USING QUALITY OF SERVICE 审中-公开
标题翻译：使用服务质量将存储器分配到DISSIMILAR存储器件的系统和方法
公开(公告)号：WO2014092883A1
公开(公告)日：2014-06-19
申请号：PCT/US2013/068217
申请日：2013-11-04
申请人： QUALCOMM INCORPORATED
发明人： DE, Subrato K. , STEWART, Richard A. , CASCAVAL, Gheorghe Calin , CHUN, Dexter T.
IPC分类号： G06F12/06 , G06F13/16
CPC分类号： G06F12/023 , G06F12/0607 , G06F12/0638 , G06F2212/1044 , G11C7/1072 , Y02D10/13
摘要： Systems and methods are provided for allocating memory to dissimilar memory devices. An exemplary embodiment includes a method for allocating memory to dissimilar memory devices. An interleave bandwidth ratio is determined, which comprises a ratio of bandwidths for two or more dissimilar memory devices. The dissimilar memory devices are interleaved according to the interleave bandwidth ratio to define two or more memory zones having different performance levels. Memory address requests are allocated to the memory zones based on a quality of service (QoS).
摘要翻译：提供了系统和方法，用于将存储器分配给不同的存储器件。示例性实施例包括用于将不同的存储器件分配存储器的方法。确定交织带宽比，其包括两个或多个不同存储器件的带宽比。不同的存储器件根据交织带宽比进行交织以定义具有不同性能级别的两个或多个存储器区域。基于服务质量（QoS）将内存地址请求分配给内存区域。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式