Abstract: An assessment environment is provided to generate real-time or nearly real-time events and/or alarms based at least on operational state of a host device. An agent module executing in the host device can monitor some or all of the performance metrics that are available in the host device and can analyze the monitored information in order to generate operational information and/or intelligence associated with an operational state of the host device and/or a computing component (e.g., an application, a virtual machine, or a container) associated therewith. The monitoring and analysis can be performed locally at the host device in real-time or nearly real-time. Analysis of the monitored information can be utilized to update first control information indicative of occurrence of an event and/or second control information indicative of presence or absence of an alarm condition. The control information can be sent to a remote device.

Abstract: The present invention addresses the need for improved virtualized cloud infrastructure policy implementation and management in order allow real-time monitoring and optimization of virtualized resources. It provides systems and methods for real-time cloud infrastructure policy implementation and management that include a plurality of host devices, a plurality of real-time probe agents associated with the plurality of host devices operating on each of the plurality of host devices, and a policy engine communicatively coupled to the plurality of host devices and containing a policy associated with an application program deployed in at least one of the plurality of host devices. The policy engine is programmed to monitor in real time changes in deployment of the application program across the plurality of host devices and to push the policy to the real-time probe agent operating on each host device on which the application program is deployed.

Abstract: In particular embodiments, a method includes, from an indexer in a sensor network, accessing a set of sensor data that includes sensor data aggregated together from sensors in the sensor network, one or more time stamps for the sensor data, and metadata for the sensor data identifying one or more pre-determined attributes of the sensor data. The method includes, at the indexer, generating an index of the set of sensor data according to a multi-dimensional array configured for querying of the set of sensor data along with a plurality of other sets of sensor data. One or more first ones of the dimensions of the multi-dimensional array include time, and one or more second ones of the dimensions of the multi-dimensional array include one or more of the pre-determined sensor-data attributes. The method includes, from the indexer, communicating the index of the set of sensor data for use in responding to one or more queries of the set of sensor data along with a plurality of other sets of sensor data.

Abstract: In particular embodiments, a method includes accessing sensor data from sensor nodes in a sensor network and aggregating the sensor data for communication to an indexer in the sensor network. The aggregation of the sensor data includes deduplicating the sensor data; validating the sensor data; formatting the sensor; generating metadata for the sensor data; and time-stamping the sensor data. The metadata identifies one or more pre-determined attributes of the sensor data. The method also includes communicating the aggregated sensor data to the indexer in the sensor network. The indexer is configured to index the aggregated sensor data according to a multi-dimensional array for querying of the aggregated sensor data along with other aggregated sensor data. One or more first ones of the dimensions of the multi-dimensional array include time and one or more second ones of the dimensions of the multi-dimensional include one or more of the pre-determined sensor-data attributes.

Abstract: In particular embodiments, a method includes receiving a query for particular sensor data among multiple sensor data from multiple sensors. The plurality of sensor data has been indexed according to a multi-dimensional array. One or more first ones of the dimensions include time, and one or more second ones of the dimensions include one or more pre-determined sensor-data attributes. The method includes translating the query to correspond to the indexing of the plurality of sensor data. The translated query includes one or more values for one or more of the dimensions of the multi-dimensional array. The method includes communicating the translated query to search among the plurality of sensor data according to its indexing to identify the particular sensor data.

Abstract: In one embodiment, a method includes receiving a summary of statistics concerning a sensor node in a sensor network that comprises a plurality of sensor nodes, the statistics having been generated based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; analyzing the summary; and applying based on the analysis one or more predetermined polices to one or more of the sensor nodes or the sensor network.

Abstract: In one embodiment, a method includes generating a set of statistics concerning a sensor node in a sensor network based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; determining based on a subset of the set of statistics whether a predetermined anomalous event correlated with the subset has occurred; and, if the predetermined anomalous event has occurred, generating a summary of the subset and communicating it to a police node in the sensor network.

Abstract: In particular embodiments, a system includes a sensor-data-collection network layer including multiple sensors. The sensor-data-collection network layer is a first logical layer of a sensor network. The system includes an aggregation network layer including one or more aggregators configured to access sensor data from the sensors and aggregate the sensor data. The aggregation network layer is a second logical layer residing logically above the first logical layer. The system includes an indexing network layer including one or more indexers that are configured to access the aggregated sensor data and generate an index of the aggregated sensor data according to a multi-dimensional array. The indexing network layer is a third logical layer residing logically above the second logical layer. The system includes a search network layer including one or more search engines. The search network layer is a fourth logical layer residing logically above the third logical layer.

Abstract: In particular embodiments, a method includes accessing sensor data from sensor nodes in a sensor network and aggregating the sensor data for communication to an indexer in the sensor network. The aggregation of the sensor data includes deduplicating the sensor data; validating the sensor data; formatting the sensor; generating metadata for the sensor data; and time-stamping the sensor data. The metadata identifies one or more pre-determined attributes of the sensor data. The method also includes communicating the aggregated sensor data to the indexer in the sensor network. The indexer is configured to index the aggregated sensor data according to a multi-dimensional array for querying of the aggregated sensor data along with other aggregated sensor data. One or more first ones of the dimensions of the multi-dimensional array include time and one or more second ones of the dimensions of the multi-dimensional include one or more of the pre-determined sensor-data attributes.

Abstract: In particular embodiments, a method includes, from an indexer in a sensor network, accessing a set of sensor data that includes sensor data aggregated together from sensors in the sensor network, one or more time stamps for the sensor data, and metadata for the sensor data identifying one or more pre-determined attributes of the sensor data. The method includes, at the indexer, generating an index of the set of sensor data according to a multi-dimensional array configured for querying of the set of sensor data along with a plurality of other sets of sensor data. One or more first ones of the dimensions of the multi-dimensional array include time, and one or more second ones of the dimensions of the multi-dimensional array include one or more of the pre-determined sensor-data attributes. The method includes, from the indexer, communicating the index of the set of sensor data for use in responding to one or more queries of the set of sensor data along with a plurality of other sets of sensor data.

Abstract: In particular embodiments, a method includes receiving a query for particular sensor data among multiple sensor data from multiple sensors. The plurality of sensor data has been indexed according to a multi-dimensional array. One or more first ones of the dimensions include time, and one or more second ones of the dimensions include one or more pre-determined sensor-data attributes. The method includes translating the query to correspond to the indexing of the plurality of sensor data. The translated query includes one or more values for one or more of the dimensions of the multi-dimensional array. The method includes communicating the translated query to search among the plurality of sensor data according to its indexing to identify the particular sensor data.

Abstract: In one embodiment, a method includes receiving a summary of statistics concerning a sensor node in a sensor network that comprises a plurality of sensor nodes, the statistics having been generated based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; analyzing the summary; and applying based on the analysis one or more predetermined polices to one or more of the sensor nodes or the sensor network.

Abstract: In one embodiment, a method includes generating a set of statistics concerning a sensor node in a sensor network based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; determining based on a subset of the set of statistics whether a predetermined anomalous event correlated with the subset has occurred; and, if the predetermined anomalous event has occurred, generating a summary of the subset and communicating it to a police node in the sensor network.

Abstract: In one embodiment, a method comprises accessing a statistic concerning a sensor node in a sensor network, the statistic being based on one or more of sensor data from a sensor at the sensor node, communication to the sensor node from one or more other sensor nodes in the sensor network, or communication from the sensor node; generating a message that includes a type-length-value (TLV) element based on the statistic, the TLV element including a first portion that indicates a class of the statistic, a second portion that indicates a numerical value for the statistic, and a third portion that indicates a length of the second portion; and communicating the message to a police node in the sensor network.