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1. 发明申请

US20160034919A1 COLLECTION AND AGGREGATION OF LARGE VOLUME OF METRICS 审中-公开
标题翻译：大容量量度的收集与聚集
公开(公告)号：US20160034919A1
公开(公告)日：2016-02-04
申请号：US14448977
申请日：2014-07-31
申请人： AppDynamics, Inc.
发明人： Gautam Borah
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0201
摘要： A system processes a large volume of real time hierarchical system metrics using distributed computing by stateless processes. The metrics processing system receives different types of hierarchical metrics coming from different sources and then aggregates the metrics by their hierarchy. The system is on-demand, cloud based, multitenant and highly available. The system makes the aggregated metrics available for reporting and policy triggers in real time. The metrics aggregation and roll up method involves two different classes of stateless java programs that work in tandem to receive, aggregate and roll up the incoming metrics. The method also involves a persistence store to save incoming and aggregated metrics. The method uses a quorum to communicate between these processes.
摘要翻译：系统使用无状态进程的分布式计算来处理大量的实时分层系统度量。指标处理系统接收来自不同来源的不同类型的分级度量，然后按其层次结构聚合度量。该系统是按需，基于云，多租户和高可用性。该系统使得汇总指标可用于实时报告和策略触发器。度量聚合和汇总方法涉及两种不同类的无状态Java程序，可以一起接收，汇总和汇总传入的度量。该方法还涉及一个持久性存储来保存传入和聚合度量。该方法使用仲裁在这些进程之间进行通信。

2. 发明申请

US20160036665A1 DATA VERIFICATION BASED UPGRADES IN TIME SERIES SYSTEM 审中-公开
标题翻译：基于数据验证的时间序列升级系统
公开(公告)号：US20160036665A1
公开(公告)日：2016-02-04
申请号：US14611003
申请日：2015-01-30
申请人： AppDynamics Inc.
发明人： Gautam Borah , Pankaj Gupta
IPC分类号： H04L12/26 , H04L12/24 , H04L29/08
CPC分类号： H04L43/065 , G06F11/3006 , G06F11/302 , G06F11/3082 , G06F11/3409 , G06F11/3495 , G06F2201/875 , H04L41/046 , H04L43/04
摘要： A time series system is updated using a data-verification system. The aggregation system may include one or more aggregators. When an upgrade is appropriate, a shadow aggregator may be added to the set of active aggregators. Metrics are provided from one or more collectors to an active aggregator. The shadow aggregator may receive the metrics intended for a particular aggregator, process the metric, and then pass the metric to the intended aggregator for processing. After a period of time, the shadow aggregator data is verified against the intended aggregator data. If the shadow aggregator data is verified, the shadow aggregator becomes an active aggregator and processes data as normal.
摘要翻译：使用数据验证系统更新时间序列系统。聚合系统可以包括一个或多个聚合器。当升级适当时，可以将一个影子聚合器添加到一组活动聚合器中。指标从一个或多个收集器提供给活动聚合器。影子聚合器可以接收针对特定聚合器的度量，处理度量，然后将度量传递到预期的聚合器以进行处理。一段时间后，根据预期的聚合器数据验证影子聚合器数据。如果影子聚合器数据被验证，则阴影聚合器将变为活动聚合器并正常处理数据。

3. 发明申请

US20160034504A1 EFFICIENT AGGREGATION, STORAGE AND QUERYING OF LARGE VOLUME METRICS 审中-公开
标题翻译：大容量量度的有效聚集，存储和查询
公开(公告)号：US20160034504A1
公开(公告)日：2016-02-04
申请号：US14449065
申请日：2014-07-31
申请人： AppDynamics, Inc.
发明人： Gautam Borah
IPC分类号： G06F17/30
CPC分类号： G06F16/22
摘要： The present system provide for more efficient processing, storage and querying of metrics from a distributed system from which large volumes of metrics are collected. The present metrics processing system may store billions of performance metrics in a persistence storage system, such as an HBase storage system, for several days, with minimum space required and at the same time retaining a low level data granularity. The reporting queries may use a unique technique to find required metrics in the HBase persistence store using a portion of the key as a bit array. The present metrics processing system may user a very small number of keys to store minute level metrics data for a metric for several hours. The metric values may be pivoted to multiple time-bucketed keys at different times during their life time in the system.
摘要翻译：本系统提供从收集大量度量的分布式系统更有效的处理，存储和查询度量。本指标处理系统可以在诸如HBase存储系统的持久存储系统中存储数十亿个性能度量，持续数天，所需空间最小，同时保持低级别的数据粒度。报告查询可以使用唯一的技术来在HBase持久性存储中使用密钥的一部分作为位阵列来找到所需的度量。本指标处理系统可以使用非常少数量的密钥来存储数小时的度量的分级度量数据。度量值可以在系统的使用寿命期间的不同时间转到多个时间桶密钥。

4. 发明申请

US20170123942A1 QUORUM BASED AGGREGATOR DETECTION AND REPAIR 审中-公开
公开(公告)号：US20170123942A1
公开(公告)日：2017-05-04
申请号：US14929012
申请日：2015-10-30
申请人： AppDynamics, Inc.
发明人： Gautam Borah , Pankaj Gupta , Kiran Nagasubramanian
IPC分类号： G06F11/20 , G06F11/30 , G06F11/34
CPC分类号： G06F11/3006 , G06F11/0757 , G06F11/1658 , G06F11/2035 , G06F11/3082 , G06F11/3409 , G06F2201/85
摘要： The present system uses quorum based aggregator failure detection in which a failed aggregator is detected and configured. Rather than repair and roll-up of all metrics for a period of time associated with the failed aggregator, only the specific metrics that were to be processed by the failed aggregator are repaired. Once the failed aggregator is identified, the time range for the downed aggregator and keys processed by the aggregator are identified. Keys for replica aggregators associated with the identified time ranges and key values are then pulled, provided to a batch processor, and processed. At cluster roll-up task completion, a time rollup task for cluster rollup is then started.

5. 发明申请

US20170031743A1 QUORUM BASED DISTRIBUTED ANOMALY DETECTION AND REPAIR 有权
标题翻译：基于QUORUM的分布式异常检测和修复
公开(公告)号：US20170031743A1
公开(公告)日：2017-02-02
申请号：US14815216
申请日：2015-07-31
申请人： AppDynamics, Inc.
发明人： Gautam Borah , Pankaj Gupta
IPC分类号： G06F11/07 , G06F9/48
CPC分类号： G06F11/079 , G06F9/4881 , G06F9/5027 , G06F11/0721 , G06F2209/5013
摘要： Quorum based anomaly detection utilizes multiple entities to detect and attempt to configure a repair task for an anomaly. Once the repair task is generated, a system is used to assign the task to a worker entity while recording the responsibility of that task with the worker in a persistent storage. If the worker entity crashes, the degraded worker status will eventually be detected, and all tasks associated with that worker will be re-assigned. Once a worker finishes a task, the assignment information for the task is transitioned to a completed state.
摘要翻译：基于法定人数的异常检测利用多个实体检测并尝试为异常配置修复任务。一旦生成修复任务，系统就用于将任务分配给工作实体，同时将该任务的责任与持久存储器中的工作人员进行记录。如果工作实体崩溃，最终将检测到退化的工作状态，并且将重新分配与该工作相关联的所有任务。一旦工作人员完成任务，任务的分配信息就会转换到完成状态。

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