公开(公告)号：US11263566B2

公开(公告)日：2022-03-01

申请号：US15186938

申请日：2016-06-20

Applicant: Oracle International Corporation

Inventor： Arvind Kumar Maheshwari ,  Raghav Ravichandran ,  Vladimir Volchegursky ,  Tse-Han Huang

IPC: G06Q10/06 ,  G06F8/65 ,  G06F9/50

Abstract: Techniques are described herein for seasonal pattern determination and validation. In one or more embodiments, a set of time-series data is received to analyze for seasonal behavior. In response a plurality of patterns may be generated, including a first pattern and a second pattern, such that each of the first pattern and the second pattern approximate data points that represent a same sub-period of multiple instances of a season within the set of time-series data. One or more other instances of the season may then be analyzed to determine whether at least part of the first pattern or the second pattern is detected. Based at least in part on determining that the at least part of the first pattern is detected in the at least part of the same sub-period, a responsive action that is associated with the first pattern may be performed.

公开(公告)号：US20180082449A1

公开(公告)日：2018-03-22

申请号：US15379106

申请日：2016-12-14

Applicant: Oracle International Corporation

Inventor： Kusumaharanadh Poduri ,  Arvind Kumar Maheshwari ,  Raghav Ravichandran

IPC: G06T11/20 ,  H04L12/26 ,  G06F3/0484

CPC classification number: G06T11/206 ,  H04L43/045

Abstract: Techniques for selecting an anomaly based on a context are disclosed. A set of metrics corresponding to communications with nodes of a computer system are identified. A set of insights are generated based on the set of metrics. A context for determining a primary anomaly is determined. A subset of metrics associated with the context are identified. A subset of insights that are generated based on the subset of metrics are identified. An insight is selected from the subset of insights as the primary anomaly. A visualization associated with the primary anomaly is presented at a user interface. One or more secondary anomalies may be concurrently presented with the visualization. Additionally, the primary anomaly, the selected visualization, and/or the secondary anomaly is used to determine a new context for selecting another primary anomaly. Hence, a series of primary anomalies may be selected, each primary anomaly being related to each other.

公开(公告)号：US10997171B2

公开(公告)日：2021-05-04

申请号：US16024868

申请日：2018-07-01

Applicant: Oracle International Corporation

Inventor： Arvind Kumar Maheshwari ,  Uri Shaft ,  Karl Dias ,  Vishwanath Karra ,  Stephen Wexler ,  Anil Kumar Kothuri

IPC: G06F16/2453

Abstract: Techniques for analyzing an execution of a query statement based on a random archive are disclosed. A plurality of query statements that are executed during a particular time period are identified. A random sampling function is executed to randomly select a set of query statements from the plurality of query statements. Execution plans and/or performance metrics associated with each execution of the randomly-selected query statements are stored into a random archive. Responsive to determining that a performance metric for a current execution of a particular query statement does not satisfy a performance criteria, information associated with the particular query statement from the random archive is analyzed. A model plan characteristic associated with an execution of the particular query statement stored in the random archive is determined. An execution plan associated with the model plan characteristic is determined for another execution of the particular query statement.

公开(公告)号：US20210004998A1

公开(公告)日：2021-01-07

申请号：US17029743

申请日：2020-09-23

Applicant: Oracle International Corporation

Inventor： Kusumaharanadh Poduri ,  Arvind Kumar Maheshwari ,  Raghav Ravichandran

IPC: G06T11/20 ,  H04L12/26

Abstract: Techniques for selecting an anomaly based on a context are disclosed. A set of metrics corresponding to communications with nodes of a computer system are identified. A set of insights are generated based on the set of metrics. A context for determining a primary anomaly is determined. A subset of metrics associated with the context are identified. A subset of insights that are generated based on the subset of metrics are identified. An insight is selected from the subset of insights as the primary anomaly. A visualization associated with the primary anomaly is presented at a user interface. One or more secondary anomalies may be concurrently presented with the visualization. Additionally, the primary anomaly, the selected visualization, and/or the secondary anomaly is used to determine a new context for selecting another primary anomaly. Hence, a series of primary anomalies may be selected, each primary anomaly being related to each other.

公开(公告)号：US20190378313A1

公开(公告)日：2019-12-12

申请号：US16549390

申请日：2019-08-23

Applicant: Oracle International Corporation

Inventor： Kusumaharanadh Poduri ,  Arvind Kumar Maheshwari ,  Raghav Ravichandran

IPC: G06T11/20 ,  H04L12/26

Abstract: Techniques for selecting an anomaly based on a context are disclosed. A set of metrics corresponding to communications with nodes of a computer system are identified. A set of insights are generated based on the set of metrics. A context for determining a primary anomaly is determined. A subset of metrics associated with the context are identified. A subset of insights that are generated based on the subset of metrics are identified. An insight is selected from the subset of insights as the primary anomaly. A visualization associated with the primary anomaly is presented at a user interface. One or more secondary anomalies may be concurrently presented with the visualization. Additionally, the primary anomaly, the selected visualization, and/or the secondary anomaly is used to determine a new context for selecting another primary anomaly. Hence, a series of primary anomalies may be selected, each primary anomaly being related to each other.

公开(公告)号：US10970893B2

公开(公告)日：2021-04-06

申请号：US17029743

申请日：2020-09-23

Applicant: Oracle International Corporation

Inventor： Kusumaharanadh Poduri ,  Arvind Kumar Maheshwari ,  Raghav Ravichandran

IPC: G06T11/20 ,  H04L12/26

Abstract: Techniques for selecting an anomaly based on a context are disclosed. A set of metrics corresponding to communications with nodes of a computer system are identified. A set of insights are generated based on the set of metrics. A context for determining a primary anomaly is determined. A subset of metrics associated with the context are identified. A subset of insights that are generated based on the subset of metrics are identified. An insight is selected from the subset of insights as the primary anomaly. A visualization associated with the primary anomaly is presented at a user interface. One or more secondary anomalies may be concurrently presented with the visualization. Additionally, the primary anomaly, the selected visualization, and/or the secondary anomaly is used to determine a new context for selecting another primary anomaly. Hence, a series of primary anomalies may be selected, each primary anomaly being related to each other.

公开(公告)号：US10818052B2

公开(公告)日：2020-10-27

申请号：US16549390

申请日：2019-08-23

Applicant: Oracle International Corporation

Inventor： Kusumaharanadh Poduri ,  Arvind Kumar Maheshwari ,  Raghav Ravichandran

IPC: G06T11/20 ,  H04L12/26

Abstract: Techniques for selecting an anomaly based on a context are disclosed. A set of metrics corresponding to communications with nodes of a computer system are identified. A set of insights are generated based on the set of metrics. A context for determining a primary anomaly is determined. A subset of metrics associated with the context are identified. A subset of insights that are generated based on the subset of metrics are identified. An insight is selected from the subset of insights as the primary anomaly. A visualization associated with the primary anomaly is presented at a user interface. One or more secondary anomalies may be concurrently presented with the visualization. Additionally, the primary anomaly, the selected visualization, and/or the secondary anomaly is used to determine a new context for selecting another primary anomaly. Hence, a series of primary anomalies may be selected, each primary anomaly being related to each other.

公开(公告)号：US09430319B2

公开(公告)日：2016-08-30

申请号：US14531229

申请日：2014-11-03

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Rishi Saraswat ,  Ganesh Narayanamurthy ,  Arvind Kumar Maheshwari

IPC: G06F11/00 ,  G06F11/07

CPC classification number: G06F11/0793 ,  G06F11/0709 ,  G06F11/0715 ,  G06F11/0751 ,  G06F11/0781 ,  G06F11/0787 ,  G06F11/079 ,  G06F11/3442 ,  H04L41/0654 ,  H04L41/5012 ,  H04L41/5096

Abstract: Various embodiments are presented for bulk recovery or faults in a service oriented architecture system. The number of faults submitted for recovery is determined based on the capacity of the system. A linear programming model is used to determine the maximum recovery capacity of the system. The maximum recovery capacity is configured to be below the capacity of the system.

Abstract translation: 呈现了用于面向服务的架构系统中的批量恢复或故障的各种实施例。 提交恢复的故障数量是根据系统容量确定的。 线性规划模型用于确定系统的最大恢复能力。 最大恢复容量被配置为低于系统的容量。

公开(公告)号：US11455306B2

公开(公告)日：2022-09-27

申请号：US16747919

申请日：2020-01-21

Applicant: Oracle International Corporation

Inventor： Arvind Kumar Maheshwari ,  Vamshidhar Reddy Pasham ,  Shantanu Mahajan ,  Debottam Kundu

IPC: G06F16/2453 ,  G06N3/04 ,  G06F16/28 ,  G06N3/08

Abstract: Techniques are described herein for leveraging recurrent neural networks for query processing. In some embodiments, a query analytic system determines a sequence of tokens for at least a portion of a query and determines a vector representation for each token. The query analytic system further generates, using a neural network based on the sequence of tokens, a performance prediction associated with executing at least the portion of the query, wherein the neural network assigns at least a first weight for at least a first token in the sequence of tokens based at least in part on at least a second token that preceded the token in the sequence. The query analytic system further triggers a responsive action, such as triggering an alert and/or tuning the query, based at least in part on the performance prediction.

公开(公告)号：US20220197900A1

公开(公告)日：2022-06-23

申请号：US17133278

申请日：2020-12-23

Applicant: Oracle International Corporation

Inventor： Arvind Kumar Maheshwari ,  Vamshidhar Reddy Pasham ,  Ravi Kumar Agrawal

IPC: G06F16/242 ,  G06N3/08

Abstract: Techniques are described herein for generating, editing, and optimizing queries using neural networks. In some embodiments, the techniques include training a neural network using a set of performant database queries to automatically learn patterns between different sequences of tokens in performant queries. Once trained, the neural network may receive an incomplete query as input, where the incomplete query includes one or more query tokens. The trained neural network may then perform next token prediction to project a set of one or more additional query tokens that may follow the one or more query tokens in the incomplete query to form a completed, performant query.