Abstract: Embodiments provide for a primary storage array having multiple storage tiers. The multiple storage tiers include one or more performance tiers and at least one deduplicated storage tier storing deduplicated data. One embodiment provides for a data storage system including management logic to manage the deduplicated storage tier. The management logic can receive a request to store deduplicated data and respond to the request to store the deduplicated data based on workload statistics associated with the data. In one embodiment the response to the request includes storing at least a portion of the deduplicated data to a first storage device in the second set of storage devices and the workload statistics include input/output (I/O) statistics associated with the unit of deduplicated data. In other embodiments the response includes reallocating drives between storage tiers and/or providing migration hints with respect to data on the deduplicated storage tier.

Abstract: A write request is transmitted from a client to a metadata server (“MDS”), wherein the write request comprises an object identifier associated with a data object. An object store location for an object store is received from the MDS. A conditional write request is transmitted to the object store using the object store location, wherein the conditional write request includes the object identifier and the data object. A metadata response is received from the object store. The metadata response is determined to contain an object designator. A commit request is transmitted to the MDS, wherein the commit response includes the object designator.

Abstract: An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a continuous data stream related to an application, identify an input geometry associated with the continuous data stream, generate a cluster of geometries based at least in part on the input geometry, generate an output geometry based at least in part on the cluster of geometries and a number of geometries in each cluster of the cluster of geometries, determining one or more partitions for the output geometry based on the cluster of geometries and the number of geometries in each cluster of the cluster of geometries, dynamically change a size of the one or more partitions for the output geometry, and transmitting the output geometry associated with the continuous data stream.

Abstract: Machine-generated data is divided into its metadata (or contextual data) that is indicative of a data container, and the data values themselves that are indicative of sensed variables. The metadata is checked to obtain a container integrity indicator of whether the data is accurate based on characteristics of the data container. The actual data values are subjected to quality checking to determine whether they have been corrupted by inaccuracies. Data corresponding to inaccurate metadata or inaccurate data values themselves is quarantined, and correction logic attempts to correct any inaccurate data. Corrected data is output with the verified data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.

Abstract: Briefly, embodiments disclosed herein relate generally to on-line content sampling, and more particularly to utilization of machine learning techniques to sample on-line content in a search engine environment, for example.

Abstract: In one embodiment, a method includes receiving a request from an application installed on a client system for one or more interactive elements associated with a respective platform for sharing content to a website associated with the platform, wherein the request includes a user identifier and a content identifier; calculating a ranking score for each of a plurality of interactive elements based on profile information associated with the user identifier; and sending to the application a personalized set of the interactive elements, each of the interactive elements in the personalized set having a ranking score above a threshold value.

Abstract: Embodiments provide for a primary storage array having multiple storage tiers. The multiple storage tiers include one or more performance tiers and at least one deduplicated storage tier storing deduplicated data. One embodiment provides for a data storage system including a first storage tier including a first set of storage devices; a second storage tier including a second set of storage devices, the second storage tier including deduplicated data; and a quality of service (QoS) manager to manage data migration between the first storage tier and the second storage tier, the QoS manager to maintain deduplication statistics for the deduplicated data, wherein the QoS manager, based on the deduplication statistics, is to partially migrate a data extent between the first storage tier and the second storage tier, the data extent including data stored at a range of storage addresses.

Abstract: There is provided a real-time experience analyzing method for enabling an experience analyzing server to analyze user's experience of an evaluation target service or an evaluation target product in real time. The method comprising transmitting query data including an experience evaluation indicator for the evaluation target service or the evaluation target product to a terminal of the user; receiving reply data input by the user through the terminal in response to the query data; and generating evaluation result data for the evaluation target service or the evaluation target product based on the reply data. The transmitting of the query data transmits the query data by a series of detailed behaviors consisting of the evaluation target service or the evaluation target product, and the generating of the evaluation result data generates evaluation result data based on the reply data received by the detailed behaviors or the detailed features.

Abstract: A method may include maintaining first data structure with records organized in a first hierarchy, and maintaining a second data structure with records organized in a second hierarchy. The method may also include receiving a first change request for a value stored in a first record. The first change request may be received from a parent in the first data structure of the first record. The method may additionally include changing the first value according to the first change request, and receiving a second change request for the value stored in the first record. The second change request may be received from a parent in the second data structure of the first record. The method may further include sending a notification to the parent in the first data structure that the parent in the second data structure is attempting to change the first record.

Abstract: Techniques for selecting a resource to be used in a data backup or restore operation are described in various implementations. An example method that implements the techniques may include determining, using a computing system, diagnostic information associated with a plurality of candidate resources that are available for use in a data backup or restore operation. The method may also include selecting, using the computing system, a recommended resource from among the plurality of candidate resources, the recommended resource being selected based at least in part on the diagnostic information. The method may also include causing the data backup or restore operation to be performed using the recommended resource.

Abstract: A precompiled form of information derived from CIL metadata is created in a compact type layout (CTL) format. Information in CTL format for each data type in a program can be represented as a contiguous byte stream. Information that is irrelevant to decisions concerning layout of a data type in memory can be suppressed. Information that is irrelevant to creation of virtual machine data structures can be suppressed. The information in CTL format may reference types, methods, and fields by CIL metadata token. Virtual override information such as, for example, a logical virtual table layout, can be pre-computed. Interface implementation information can be pre-computed. A decoder can generate data structures used in generation of an executable from the CTL formatted data.

Abstract: Embodiments perform distributed management of an inventory of a shared, distributed storage device. Host computing devices accessing the storage device maintain, on the storage device, journaling files of the storage events performed by each of the host computing devices. A tidy file is maintained, on the storage device, by all of the host computing devices, reflecting the storage events performed by each of the host computing devices.

Abstract: The present disclosure related to techniques for analyzing data from multiple different data sources to determine a relationship between the data (also referred to herein a “data relationship discovery”). The relationships between any two compared datasets may be used to determine one or more recommendations for merging (e.g., joining), or “blending,” the data sets together. Relationship discovery may include determining a relationship between a subset of data, such as a relationship between a pair of columns, or column pair, each column in a different dataset of the datasets that are compared. Given two datasets to process for relationship discovery, relationship discovery may identify and recommends a ranked subset of column pairs between two compared datasets. The ranked column pairs identified as a relationship may be useful for blending the datasets with respect to those column pairs.

Abstract: One or more embodiments of the present invention include a memory and a processor. The memory includes a plurality of files, a master cluster record, and an operating system. The processor is configured to execute the operating system in order to locate and load each cluster of a file. Each file includes a plurality of clusters and each cluster includes a first pointer and a second pointer. The first pointer is linked to a previous cluster of a file and second pointer is linked to a subsequent cluster of the file using a double linked list data structure.

Abstract: Methods and apparatus to modify a binary file for scalable loading on distributed computing systems are disclosed. An example method to modify a binary file for scalable loading on a distributed computing system includes identifying, by executing an instruction with a processor, in the binary file a file name for a shared file, determining, by executing an instruction with the processor, whether the shared file can be loaded based on a path name specified in the binary file, and, responsive to a determination that the shared file can be loaded, generating, by executing an instruction with the processor, an identifier that can be used to access a local file scalably copied from a global file system, and modifying, by executing an instruction with the processor, the binary file by replacing, in the binary file, the file name with the generated identifier.

Abstract: In one embodiment, a method includes receiving, from a client system associated with a first user, a request to access a user-card interface. The method includes generating, in response to the request, multiple user-cards, each user-card being associated with a pre-selected query. Each user-card includes references to second users matching the pre-selected query associated with the user-card. The method includes calculating a user-card score for each user-card. The user-card score represents a relevance of the pre-selected query to the first user and a relevance of the second users referenced in the user-card to the first user. The relevance of each second user referenced in the user-card is based on an affinity coefficient of the first user with respect to the second user. The method includes sending, to the client system, instructions for presenting the user-card interface with user-cards in ranked order based on the user-card score associated with each user-card.

Abstract: A method and an apparatus for constructing a spatial tree data structure corresponding to a region. According to the present principles, a cell may include therein a point or a set of points that are determined to be duplicate points. In an embodiment the duplicate points are determined based on the size of the points included within the cell. The inclusion of duplicate points within a particular cell, rather than further subdividing the cell, provides coding efficiency. The present principles are particularly advantageous in the context of quadtree or octree type partitioning, and may be used in 3D mesh coding.

Abstract: Software for an online content service obtains a plurality of events chronologically generated by a plurality of users of an online content service during a specified period of time. The software identifies any content items associated with each event and annotates each of the content items with (a) a plurality of metadata attributes associated with the content item and (b) a plurality of metadata attributes associated with the online content service. The software sorts the events based on user and based on content identifier and orders the sorted events based on timestamp. The software determines the events that make up a content session for the specific content item and the specific user, using the ordered events for the specific content item and a look-back time period and a look-ahead time period. Then the software generates an analytic based at least in part on the content session.

Abstract: A system for executing a streaming query includes an interface and a processor. The interface is configured to receive a logical query plan. The processor is configured to determine a physical query plan based at least in part on the logical query plan. The physical query plan comprises an ordered set of operators. Each operator of the ordered set of operators comprises an operator input mode and an operator output mode. The processor is further configured to execute the physical query plan using the operator input mode and the operator output mode for each operator of the query.