In some implementations, events measured at various points in time may be organized in a data structure that defines an event represented by a document. In particular, events can be organized in columns of documents referred to as buckets. These buckets may be indexed using B-trees by addressing metadata values or value ranges. Buckets may be defined by periods of time. Documents may also be geoindexed and stored in one or more locations in a distributed computer network. One or more secondary indexes may be created based on time and/or metadata values within documents.

Embodiments as disclosed provide a distributed caching solution that improve the performance and functionality of a content management platform for sites that are physically or logically remote from the primary site of the content management platform. In particular, according to embodiments, a remote cache server may be associated with a remote site to store local copies of documents that are managed by the primary content management platform. Periodically, a portion of the remote site's cache may be synchronized with the content management platform's primary site using an extensible architecture to ensure that content at the remote cache server is current.

The disclosed embodiments relate to a system that automatically selects a prognostic-surveillance technique to analyze a set of time-series signals. During operation, the system receives the set of time-series signals obtained from sensors in a monitored system. Next, the system determines whether the set of time-series signals is univariate or multivariate. When the set of time-series signals is multivariate, the system determines if there exist cross-correlations among signals in the set of time-series signals. If so, the system performs subsequent prognostic-surveillance operations by analyzing the cross-correlations. Otherwise, if the set of time-series signals is univariate, the system performs subsequent prognostic-surveillance operations by analyzing serial correlations for the univariate time-series signal.

Systems and methods for retrieval of information from read-only databases that hold taxonomic-related and sequence-related data. A method may include receiving organism names from a taxonomy database and detecting new organism names. The method may also include retrieving hierarchical data and assigning the new organism names to buckets based on the hierarchical data. The method may further include receiving sequence data elements from a nucleotide database, identifying particular buckets to correspond to a screener data set, querying organism names assigned to the particular buckets with names of reference sequences of the sequence data elements, generating a mapping between the sequence data elements and organism names returned as a result of the queries, and storing the mapping.

In one aspect, there is provided a system configured to receive time series data collected by a first sensor. The time series data collected by the first sensor can be stored in a first data array associated with the first sensor. The first data array can stored proximate to a second data array that includes time series data collected by a second sensor. The first data array can be stored proximate to the second data array based on the first and second sensor being in a same sensor group. A query can be received to perform a processing algorithm on a subset of time series data. The subset can be generated by retrieving the first and second data array. The query can be executed by applying the processing algorithm to the subset of time series data. Related methods and articles of manufacture are also provided.

This disclosure relates to methods and systems for processing of sequencing data streams. The system receives sequences from a sequencer and stores them as data records on a database. The sequences are associated with a counter indicative of a number of times the associated sequence has been sequenced. The system progressively receives a further sequence as streaming data from the sequence. While receiving the further sequence, the system matches the streaming data against the stored sequences to determine a matching score. Upon the matching score exceeding a matching threshold for one of the multiple sequences in the database, the system selects the one of the sequences in the database based on the matching score and stores the further sequence on non-volatile memory where the counter value associated with the selected sequence is below a saturation threshold. The system also terminates the receiving where the counter value is above the saturation threshold.

Disclosed are a framework and method for selecting an anomaly detection method for each of a plurality of class of time series based on characteristics a time series example that represents an expected form of data. The method provides classification of a given time series into one of known classes based on expected properties of the time series, filtering the set of possible detection methods based on the time series class, evaluating the remaining detection methods on the given time series using the specific evaluation metric and selecting and returning a recommended anomaly detection method based on the specific evaluation metric.

Artifact life tracking storage techniques include performing an artifact request of an artifact at an artifact storage node. A current time to live (TTL) value is identified. A determination is made whether to increment a TTL flag of the artifact. Responsive to determining that the TTL tag should be incremented, the TTL flag is incremented to a subsequent value in a TTL extender list. Responsive to incrementing the TTL tag, the TTL modified tag value is set to the current time value.

A system and methods for mitigating golden ticket attacks within a domain is provided, comprising an authentication object inspector configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to retrieve the new authentication object from the authentication object inspector, calculate a cryptographic hash for the new authentication object, and store the cryptographic hash for the new authentication object in a data store; wherein subsequent access requests accompanied by authentication objects are validated by comparing hashes for each authentication object to previous generated hashes.

The invention describes a method for determining a storage location of a database object of a specific version, wherein indexes for each version of the database object are stored in a trie having a root node corresponding to the specific version, the method comprising: determining a trie corresponding to the specific version by accessing the root node of the trie corresponding to the specific version; determining an object identifier of the database object by traversing the trie corresponding to the specific version using a secondary key related to the database object as search key; determining the storage location of the database object by traversing the trie corresponding to the specific version using the determined object identifier as search key.