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公开(公告)号：US20100158529A1
公开(公告)日：2010-06-24
申请号：US12344110
申请日：2008-12-24
申请人： Josue Kuri , Steven Joseph Hand , Raj Venkatesan , Jayaram Hanumanthappa , Maneesh Jain , Shyamtanu Majumder
发明人： Josue Kuri , Steven Joseph Hand , Raj Venkatesan , Jayaram Hanumanthappa , Maneesh Jain , Shyamtanu Majumder
IPC分类号： H04J14/02
CPC分类号： H04J14/0257 , H04J14/0267 , H04Q11/0062 , H04Q2011/0086
摘要： In accordance with the present disclosure, a method of configuring a wavelength division multiplexed (WDM) network is presented. The WDM network includes circuits that carry optical signals, with each signal corresponding to a wavelength. The WDM network includes nodes, with links connecting the nodes to one another. Each circuit includes at least one link and at least one node. The method comprises assigning each of the circuits to an optical signal, based on first and second criteria, and configuring the nodes based on the assignment.
摘要翻译： 根据本公开，提出了一种配置波分复用（WDM）网络的方法。 WDM网络包括携带光信号的电路，每个信号对应于一个波长。 WDM网络包括具有将节点彼此连接的链路的节点。 每个电路包括至少一个链路和至少一个节点。 该方法包括基于第一和第二标准将每个电路分配给光信号，并且基于分配来配置节点。
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公开(公告)号：US08238748B2
公开(公告)日：2012-08-07
申请号：US12344110
申请日：2008-12-24
申请人： Josué Kuri , Steven Joseph Hand , Rajasekar Venkatesan , Jayaram Hanumanthappa , Maneesh Jain , Shyamtanu Majumder
发明人： Josué Kuri , Steven Joseph Hand , Rajasekar Venkatesan , Jayaram Hanumanthappa , Maneesh Jain , Shyamtanu Majumder
IPC分类号： H04J14/00
CPC分类号： H04J14/0257 , H04J14/0267 , H04Q11/0062 , H04Q2011/0086
摘要： In accordance with the present disclosure, a method of configuring a wavelength division multiplexed (WDM) network is presented. The WDM network includes circuits that carry optical signals, with each signal corresponding to a wavelength. The WDM network includes nodes, with links connecting the nodes to one another. Each circuit includes at least one link and at least one node. The method comprises assigning each of the circuits to an optical signal, based on first and second criteria, and configuring the nodes based on the assignment.
摘要翻译： 根据本公开，提出了一种配置波分复用（WDM）网络的方法。 WDM网络包括携带光信号的电路，每个信号对应于一个波长。 WDM网络包括具有将节点彼此连接的链路的节点。 每个电路包括至少一个链路和至少一个节点。 该方法包括基于第一和第二标准将每个电路分配给光信号，并且基于分配来配置节点。
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公开(公告)号：US12095639B2
公开(公告)日：2024-09-17
申请号：US18088806
申请日：2022-12-27
IPC分类号： H04L43/0823 , H04L43/06
CPC分类号： H04L43/0823 , H04L43/06
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and determining at least a subset of the set of point anomalies as a sequential series of continuous anomalies based on a separation in time between immediately next point anomalies thereof. The method also determining a current longest occurring sequence of anomalies in the set of point anomalies, and, in light of new point anomalies of the set of point anomalies in the real-time data detected, improving performance of determination of a subsequent longest occurring sequence of anomalies in the set of point anomalies based on combining the determined current longest occurring sequence of anomalies incrementally with one or more new point anomalies.
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公开(公告)号：US20230179488A1
公开(公告)日：2023-06-08
申请号：US18104310
申请日：2023-02-01
IPC分类号： H04L41/147 , H04L41/06 , H04L43/08 , H04L41/14
CPC分类号： H04L41/147 , H04L41/06 , H04L41/145 , H04L43/08
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and, in accordance with reading anomaly scores associated with an event as an input feedback, the each feature of the each network entity as a dimension of the input feedback and a category of the event as a label thereof, predictively classifying a future event into a predicted category in accordance with subjecting the anomaly scores associated with the event to a binning process and interpreting a severity indicator of the event. The method also includes refining the predictive classification of the future event based on a subsequent input to the server from a client device modifying a classification model for predictively classifying the future event into the predicted category.
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公开(公告)号：US20230140793A1
公开(公告)日：2023-05-04
申请号：US18088806
申请日：2022-12-27
IPC分类号： H04L43/0823 , H04L43/06
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a set of point anomalies in real-time data associated with each network entity for each feature thereof, and determining at least a subset of the set of point anomalies as a sequential series of continuous anomalies based on a separation in time between immediately next point anomalies thereof. The method also determining a current longest occurring sequence of anomalies in the set of point anomalies, and, in light of new point anomalies of the set of point anomalies in the real-time data detected, improving performance of determination of a subsequent longest occurring sequence of anomalies in the set of point anomalies based on combining the determined current longest occurring sequence of anomalies incrementally with one or more new point anomalies.
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公开(公告)号：US20210314242A1
公开(公告)日：2021-10-07
申请号：US17348746
申请日：2021-06-15
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes detecting a point anomaly in real-time data associated with each network entity based on determining whether the real-time data falls outside a threshold expected value thereof, and representing the detected point anomaly in a full mesh Q node graph, with Q being a number of features applicable for the each network entity. The method also includes capturing a transition in the point anomaly associated with a newly detected anomaly or non-anomaly in the real-time data associated with one or more of the Q number of features via the representation of the full mesh Q node graph, and deriving a current data correlation score for the point anomaly across the captured transition via the representation of the full mesh Q node graph.
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公开(公告)号：US20210126836A1
公开(公告)日：2021-04-29
申请号：US16660813
申请日：2019-10-23
申请人： Parth Arvindbhai Patel , Vivek Padmanabhan , Johny Nainwani , Justin Joseph , Shyamtanu Majumder , Vikas Garg , Ashwath Nagaraj
发明人： Parth Arvindbhai Patel , Vivek Padmanabhan , Johny Nainwani , Justin Joseph , Shyamtanu Majumder , Vikas Garg , Ashwath Nagaraj
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes sampling time series data associated with each network entity for each feature thereof into a smaller time interval as a first data series and a second data series including a maximum value and a minimum value respectively of the sampled time series data for the each feature within the smaller time interval, and generating a reference data band from predicted future data sets. The method also includes detecting, based on the reference data band, an anomaly in real-time data associated with the each network entity for the each feature thereof and determining an event associated with a pattern of change of the real-time data associated with the each network entity based on executing an optimization algorithm to determine a series of anomalies including the detected anomaly.
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公开(公告)号：US20240154888A1
公开(公告)日：2024-05-09
申请号：US18414493
申请日：2024-01-17
摘要： A method implemented through a data processing device of a computing network including includes detecting a point anomaly in real-time data associated with each network entity based on determining whether the real-time data falls outside a threshold expected value thereof, and representing the detected point anomaly in a full mesh Q node graph, with Q being a number of features applicable for the each network entity. The method also includes capturing a transition in the point anomaly associated with a newly detected anomaly or non-anomaly in the real-time data associated with one or more of the Q number of features via the representation of the full mesh Q node graph, and deriving a current data correlation score for the point anomaly across the captured transition via the representation of the full mesh Q node graph.
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公开(公告)号：US11070440B2
公开(公告)日：2021-07-20
申请号：US16660813
申请日：2019-10-23
申请人： Parth Arvindbhai Patel , Vivek Padmanabhan , Johny Nainwani , Justin Joseph , Shyamtanu Majumder , Vikas Garg , Ashwath Nagaraj
发明人： Parth Arvindbhai Patel , Vivek Padmanabhan , Johny Nainwani , Justin Joseph , Shyamtanu Majumder , Vikas Garg , Ashwath Nagaraj
摘要： A method implemented through a server of a cloud computing network including subscribers of application acceleration as a service provided therethrough includes sampling time series data associated with each network entity for each feature thereof into a smaller time interval as a first data series and a second data series including a maximum value and a minimum value respectively of the sampled time series data for the each feature within the smaller time interval, and generating a reference data band from predicted future data sets. The method also includes detecting, based on the reference data band, an anomaly in real-time data associated with the each network entity for the each feature thereof and determining an event associated with a pattern of change of the real-time data associated with the each network entity based on executing an optimization algorithm to determine a series of anomalies including the detected anomaly.
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10.发明申请INCREMENTAL COMPUTATION OF BILLING PERCENTILE VALUES IN A CLOUD BASED APPLICATION ACCELERATION AS A SERVICE ENVIRONMENT 有权作为服务环境的基于云的应用程序加速的计费百分比值的增量计算公开(公告)号：US20150262268A1
公开(公告)日：2015-09-17
申请号：US14726651
申请日：2015-06-01
CPC分类号： G06Q30/04 , G06Q10/10 , H04L12/1428 , H04L12/1435 , H04L12/4633 , H04L12/4641 , H04L63/0272 , H04L63/0428 , H04L63/08 , H04L67/10 , H04M15/41 , H04M15/43 , H04M15/44 , H04M15/70 , H04M15/725 , H04M15/74
摘要： Disclosed is a method of incremental computation of billing percentile values in a cloud based application acceleration as a service environment. In one aspect, a method includes sampling a usage data of a network entity of an application acceleration as a service provider in intervals of five minutes using a processor and a memory. A 95th percentile value is automatically calculated based on a next value in the billing cycle after the top 5% of samples in the billing cycle. The 95th percentile value of each of a plurality of billable units for each of billing measurements for a large scale data associated with the network entity is incrementally computed by computing the 95th percentile value upon a newest set of data arrived to the network entity in each five minute interval. A billing amount is determined based on an incremental computation.
摘要翻译： 公开了一种在基于云的应用程序加速中作为服务环境的计费百分位数值的增量计算方法。 一方面，一种方法包括使用处理器和存储器以五分钟的间隔对作为服务提供商的应用加速的网络实体的使用数据进行采样。 根据结算周期中前5％的采样周期中的结算周期中的下一个值，自动计算第95个百分点值。 对于与网络实体相关联的大规模数据的计费测量中的每一个的多个可计费单元中的每一个的第95百分位数值通过在每五个到达网络实体的最新数据集上计算第95百分位数值来递增地计算 分钟间隔。 计费金额根据增量计算确定。
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