Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: Tracing of networking feature data may be provided for networking features running on network devices such as routers and switches. Examples of this feature tracing include “SGT tracing”, “Access Control Entry (‘ACE’) tracing”, and “Equal Cost Multipath (‘ECMP’) tracing.” In ACE tracing, a network administrator may desire to trace all the ACEs of Access Control Lists (“ACLs”) a particular packet is subject to. In ECMP, tracing information may be collected as to the ECMP links a particular packet is sent through at each of a plurality of network devices.

Abstract: A method includes a particular user application, without operating system kernel access, performing the operations of: identifying a set of applications that a user has permission to access, receiving a request to a access a particular application of the set of applications, and causing execution of the particular application.

Abstract: One embodiment is a method that builds a model of multi-dimensional sequence data in real-time with cuboids that aggregate the multi-dimensional sequence data over both patterns and dimensions. The model provides search results for a query.

Abstract: A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed.

Abstract: A method includes a particular user application, without operating system kernel access, performing the operations of: identifying a set of applications that a user has permission to access, receiving a request to a access a particular application of the set of applications, and causing execution of the particular application.

Abstract: A power pack system includes an energy storage system having a plurality of energy storage devices and a thermal management system. The thermal management system includes a battery ventilation system connected to energy storage system for achieving and maintaining a predetermined temperature within energy storage system by providing a two way circulation of a working fluid. Further, the system includes a housing having a top cover and a bottom cover to receive and secure the energy storage devices therein. The top cover and bottom cover configured to retain said energy storage devices in a sealable manner. Further, a method for achieving and maintaining a pre determined temperature within an energy storage system includes providing two way circulation of a working fluid and maintaining a uniform flow velocity of the fluid at least inside the energy storage system.

Abstract: A method for event correlation includes capturing events and arranging the events sequentially in at least one dimension. An event correlator implemented by a computational device convolves a kernel density function with each of the events to produce a convolved function for each event. Co-occurrences between events are found by calculating overlap between convolved functions.

Abstract: A method and system for identifying at a remote location provide at least one condition associated with an energy system (102) and control the energy system (102) The energy system (102) includes an energy storage system (ESS) (104) capable of storing electric energy, an energy consumption system (ECS) (106) capable of consuming electric energy from the ESS (104) and an energy management system (EMS) (108) capable of interacting with the ESS (104) and the ECS (106) A parameter associated with the ESS (104) is measured, and the measured parameter is compared with reference data to determine the deviation of the measured parameter from the reference data, and the deviation indicates the condition of the energy system (102) The deviation is determined by the EMS (108) or at the remote location, and the deviation is sent to the remote location while the deviation is determined by the EMS (108).

Abstract: A data processing system, implemented as programming on a suitably-programmed device includes a data input module that supplies a data input; and a wavelet transformation and compression module coupled to the data input module. The wavelet transformation and compression module receives a representation of the input data.

Abstract: Example embodiments relate to predicting execution times of concurrent queries. In example embodiments, historical data is iteratively generated for a machine learning model by varying a concurrency level of query executions in a database, determining a query execution plan for a pending concurrent query, extracting query features from the query execution plan, and executing the pending concurrent query to determine a query execution time. The machine learning model may then be created based on the query features, variation in the concurrency level, and the query execution time. The machine learning model is used to generate an execution schedule for production queries, where the execution schedule satisfies service level agreements of the production queries.

Abstract: There is provided a computer-implemented method of determining an execution ordering. An exemplary method comprises generating a directed graph based on a hierarchy. The hierarchy includes a plurality of pattern queries. The method also includes determining a minimum spanning tree of the directed graph. The method further includes determining an execution order of the pattern queries based on the minimum spanning tree.

Abstract: Disclosed herein are a system, non-transitory computer readable medium, and method to handle a routing problem. It is determined whether a fastest route can be resolved using static routing or time dependent routing.

Abstract: Techniques for generating a timeline of significant events associated with a user and of user behavior that is contextually relevant to the events are described herein. Also, the techniques include predicting user behavior that has a tendency to occur after an event and for providing item recommendations associated with the predictions. In some implementations, the event that is noted in predicting user behavior may be retrieved from the timeline.

Abstract: A query scheduler orders queries in a queue. Each query is executed based on its position in the queue. When a new query is received, the new query is inserted in the queue. A position in the queue for inserting the new query is determined based on a stretch metric for each query in the queue.

Abstract: A method includes a particular user application, without operating system kernel access, performing the operations of: identifying a set of applications that a user has permission to access, receiving a request to a access a particular application of the set of applications, and causing execution of the particular application.

Abstract: Tracing of networking feature data may be provided for networking features running on network devices such as routers and switches. Examples of this feature tracing include “SGT tracing”, “Access Control Entry (‘ACE’) tracing”, and “Equal Cost Multipath (‘ECMP’) tracing.” In ACE tracing, a network administrator may desire to trace all the ACEs of Access Control Lists (“ACLs”) a particular packet is subject to. In ECMP, tracing information may be collected as to the ECMP links a particular packet is sent through at each of a plurality of network devices.

Abstract: There is provided a computer-implemented method of determining an execution ordering. An exemplary method comprises generating a directed graph based on a hierarchy. The hierarchy includes a plurality of pattern queries. The method also includes determining a minimum spanning tree of the directed graph. The method further includes determining an execution order of the pattern queries based on the minimum spanning tree.

Abstract: A method of evaluating nested complex sequence pattern queries includes obtaining events from an event stream and evaluating the events within a first window using an outer query to produce outer partial results. The method also includes determining a more stringent window constraint, the more stringent window constraint comprising a subset of the window constraint corresponding to events that produces the outer partial results and passing the more stringent window constraint to an inner query nested within the outer query. A complex event processing system is also provided.

Abstract: Disclosed herein are a method and a system for automatic and intelligent determination and usage of internal reserve energy in an energy system associated with a vehicle. The system processes pre-configured inputs and inputs collected in real time, generates a distribution optimization profile which possesses information on values of different control parameters required to keep selected components operational, by considering energy availability in the energy storage system. Further, the system distributes energy to selected components, based on the distribution optimization profile. Further, the system verifies whether the selected distribution optimization profile matches a safe use profile and if not, automatically overrides settings associated with the distribution optimization profile to ensure safe driving of the vehicle, with at least a minimum comfort level.