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公开(公告)号:WO2022241335A1
公开(公告)日:2022-11-17
申请号:PCT/US2022/070363
申请日:2022-01-26
Applicant: HEADSPIN, INC.
Inventor: LOMNITZ, Jason , SALENIKOVICH, Stepan , PEREA, Brian , COLWELL, Brien
IPC: G06F11/30 , G06F11/34 , G06F11/3006 , G06F11/3079 , G06F11/3096 , G06F11/3409 , G06F11/3476 , G06F2201/86 , G06F2201/865 , G06F2201/875 , H04W24/02 , H04W4/023 , H04W4/029 , H04W52/0225
Abstract: A first device executing an application determines data indicative of conditions associated with the first device during use of the application. Based on correspondence between this data and threshold data that indicates conditions in which frames representing a display output of the first device should be stored, the first device is caused to send data indicative of these frames to a second device. The second device generates user interface data based in part on the received frames and may send the user interface data to other devices. To reduce the amount of data sent and the computational resources used, the first device may store only changed frames of display output, and may send data to the second device at times when a communication interface of the first device is active for other purposes.
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公开(公告)号:WO2022003403A1
公开(公告)日:2022-01-06
申请号:PCT/IB2020/056271
申请日:2020-07-02
Applicant: CONTENT SQUARE SAS
Inventor: KILIC, Ali-Firat
IPC: G06F11/34 , G06F11/36 , G06Q30/06 , G06F11/07 , G06F11/0709 , G06F11/0775 , G06F11/3409 , G06F11/3438 , G06F11/3466 , G06F11/3636 , G06F2201/875 , G06Q10/0639
Abstract: A system and method for quantifying impact of script error exceptions on performance of an online retail platform. A method includes selecting at least one performance metric for a webpage, wherein the selected performance metric has an impact due to at least one script error exception encountered on the webpage visited by a first user device; retrieving a normal value for each of the at least one selected performance metric for the webpage visited by a second user device; retrieving an abnormal value for each of the at least one selected performance metric for the webpage visited by the second user device; comparing the abnormal value to the normal value of a respective selected performance metric; and determining a performance impact score based on the comparison, wherein the performance impact score is indicative of a reduction in a performance metric of each of the least one selected performance metric.
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公开(公告)号:WO2022271246A1
公开(公告)日:2022-12-29
申请号:PCT/US2022/022028
申请日:2022-03-25
Applicant: INTEL CORPORATION
Inventor: GUIM BERNAT, Francesc , KUMAR, Karthik , BACHMUTSKY, Alexander , KUTCH, Patrick G. , CARRANZA, Marcos E.
IPC: G06F11/20 , G06F9/48 , G06F11/0709 , G06F11/0757 , G06F11/2007 , G06F11/2028 , G06F11/2038 , G06F11/2048 , G06F11/3006 , G06F11/3058 , G06F11/3419 , G06F11/3447 , G06F11/3476 , G06F2201/85 , G06F2201/875 , G06F9/4856 , G06F9/5072
Abstract: Examples described herein relate to a network interface device that comprises circuitry, when operational, to select a platform to execute a function and based on load of the platform, selectively cause the function to execute on one or more other platforms to attempt to achieve or finish before the time-to-completion. In some examples, the circuitry is to detect progress of function execution to determine whether completion of execution of the function is predicted to not finish within the time-to-completion and cause the function to execute on one or more other platforms based on completion of execution of the function predicted to not finish within the time-to-completion.
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公开(公告)号:WO2022032021A1
公开(公告)日:2022-02-10
申请号:PCT/US2021/044833
申请日:2021-08-05
Applicant: NVIDIA CORPORATION
Inventor: LARSON, Alan Daniel , TODUR, Bipin Prabhakar , MILOVANOVIC, Marko , MCAULEY, Alexander Gordon , THAYER, Kevin Michael
IPC: G06F11/30 , G06F11/34 , H04L12/26 , G06F11/3006 , G06F11/3409 , G06F11/3452 , G06F11/3495 , G06F17/18 , G06F2201/865 , G06F2201/875 , H04L41/16 , H04L41/5009 , H04L43/0817 , H04L43/0894 , H04L67/02 , H04L67/22
Abstract: Apparatuses, systems, and techniques to identify a cause of a performance regression in a web-based service. In at least one embodiment, a cause of a performance regression is identified by comparing performance metrics associated with a first group of user interactions with a web-based service to performance metrics associated with a second group of user interactions with the web-based service.
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