Abstract: A system, a method, and a computer program for generating a dynamically configurable resolution route for transmitting a request object to one or more nodes in a network, comprising receiving a trigger signal from a first node, determining one or more destination nodes based on a resolution process, schema or scenario, determining a pathway to the one or more destination nodes, generating a resolution route for transmitting the request object in the network, iteratively transmitting the request object to the one or more destination nodes based on the resolution route, receiving a request object resolution signal from a final destination node, and transmitting the request object resolution signal to the first node based on the request object resolution signal.

Abstract: One aspect of the instant application facilitates detection of configuration anomaly. During operation, a system can convert a set of rules associated with configuration syntax information for a feature in a respective feature document to at least a structured regular expression. Then the system generates a set of configuration templates with a respective configuration template including the structured regular expression corresponding to the feature document. The system can select, based on a target configuration associated with the network device, a subset of the configuration templates and can extract, based on a match between the selected configuration templates and the target configuration, a set of features. The system can determine one or more rules associated with the extracted features. Based on the one or more rules the system can determine an anomaly in the target configuration and generate at least one recommended configuration to alleviate the anomaly.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular in-put/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: Embodiments relate to providing a multi-cloud, multi-region, parallel file system cluster service with caching between file system storage nodes. In some embodiments, a first file system storage node of a file system storage cluster receives a request from a client device to access data of a first file system. In response to the request to access the data, a plurality of servers of the first file system storage node pulls, in parallel, the data and nearby data of the data from a second file system storage node of the file system storage cluster. The plurality of servers stores the data and nearby data in the first file system, and provide the data and nearby data to the client device.

Abstract: Techniques are disclosed relating to automated operations management. In various embodiments, a computer system accesses operational information that defines commands for an operational scenario and accesses blueprints that describe operational entities in a target computer environment related to the operational scenario. The computer system implements the operational scenario for the target computer environment. The implementing may include executing a hierarchy of controller modules that include an orchestrator controller module at a top level of the hierarchy that is executable to carry out the commands by issuing instructions to controller modules at a next level. The controller modules may be executable to manage the operational entities according to the blueprints to complete the operational scenario.

Abstract: An on-line job application process that encourages participants to provide as much information as possible before drop-offs occur, by requesting access to authentication information such as social network identity, and moving an Applicant Tracking System login step to near the end. If a drop off does occur, a dummy email address can then be associated with the user to enable subsequent follow up.

Abstract: A system and method for automated distribution of content to a designated publisher webpage on a third party publisher server that requires multiple direct manual human interactions for form completion and file upload. In one embodiment, the method is autonomously and directly executed on a local user computing device having a local browser executable thereon to access a distribution origin webpage, and to perform human-like activities in lieu of the required multiple direct manual human interactions so to input locally manipulated distribution content into form fields and file upload and thereby permit submission of a completed form and uploaded file.

Abstract: A data processing method, apparatus, and device is provided. The method includes receiving, by a blockchain node, a data processing request sent by a first device associated with a first user, invoking a first smart contract deployed in a blockchain network, and extracting a feature value of first original data to be processed included in the data processing request based on the first smart contract; matching historical data saved in the blockchain network based on the extracted feature value so as to determine whether there is target historical data whose similarity with the first original data satisfies a predetermined condition in the historical data; and performing corresponding processing based on matching result information of the matching processing.

Abstract: Embodiments described herein provide a system for facilitating efficient indexing in a database. The system can maintain a data table in the database. The data table includes a first column for structured data and a second column for unstructured text. A row of the data table can include a first piece of data in the first column and a second piece of data in the second column. During operation, the system performs word segmentation on the second piece of data to generate a first set of semantically meaningful word segments. The system then generates a set of index entries that corresponds to the row. A respective index entry includes an index generated from the first piece of data and a corresponding word segment of the first set of semantically meaningful word segments.

Abstract: A method of searching tree-structured data can be provided by identifying all labels associated with nodes in a plurality of trees including the tree-structured data, determining which of the labels is included in a percentage of the plurality of trees that exceeds a frequent threshold value to provide frequent labels, defining frequent candidate sub-trees for searching within the plurality of trees using combinations of only the frequent labels, and then searching for the frequent candidate sub-trees in the plurality of trees including the tree-structured data using a plurality of pruning kernels instantiated on a non-deterministic finite state machine to provide a less than exact count of the frequent candidate sub-trees in the plurality of trees.

Abstract: A device configured to receive requirements that identifies hardware operating characteristics and to determine a performance metric based on the requirements. The device is further configured to generate a set of resource cluster configurations that each identify a set of hardware resources and a set of algorithms. The device is further configured to identify a first resource cluster configuration having a first performance value with the highest performance value from among the set of resource cluster configurations. The device is further configured to modify the first resource cluster configuration and to determine a second performance value for the modified resource cluster configuration. The device is further configured to modify the modified resource cluster configuration when the second performance value is less than the first performance value and to output the modified resource cluster configuration when the second performance value is greater than the first performance value.

Abstract: The present disclosure relates to systems and methods for determining an engagement profile of a participant by associating electronic activities to a profile. It may generate the engagement profile based on analysis of the electronic activity level. An example implementation may contain the following steps. The system may access for a first record object a plurality of electronic activities linked with the first record object. The system may identify for a participant from the plurality of electronic activities a set of electronic activities including the participant. The system may determine an engagement profile of the participant based on a first number of electronic activities of the set of electronic activities sent by the participant, a second number of the set of electronic activities received by the participant and a temporal distribution of the set of electronic activities. The system may store the engagement profile in one or more data structures.

Abstract: Various embodiments are described for searching and retrieving documents based on a natural language input. A computer-implemented natural language processor electronically receives a natural language input phrase from an interface device. The natural language processor attributes a concept to the phrase with the natural language processor. The natural language processor searches a database for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase. The natural language processor maintains the concepts during an interactive session with the natural language processor. The natural language processor resolves ambiguous input patterns in the natural language input phrase with the natural language processor. The natural language processor includes a processor, a memory and/or storage component, and an input/output device.

Abstract: The disclosure provides for a system that includes a network controller. The network controller is configured to receive information from nodes of a network, where nodes include one node that is in motion relative to another node. The network controller is also configured to generate a table representing available nodes and possible links in the network based on the information, and determine a topology of the network based on the table. Additionally, the network controller is configured to receive client data information from a client device, and determine flows for the topology based on the client data information. Each flow includes one or more requirements for a routing path through the network. The network controller is configured to generate a network configuration for the topology based on the flows, and send instructions to the nodes of the network for implementing the network configuration and transmitting client data.

Abstract: A system, method, and machine-readable storage medium for determining an amount of unique data in a distributed storage system are provided. In some embodiments, a combined efficiency set for a first data set stored in the distributed storage system, such as at a volume, may be generated. The first data set may include a first subset of data and a second subset of data in the distributed storage system. Additionally, a set of efficiency sets for the first subset of data may be generated. A set difference based on the combined efficiency set and the set of efficiency sets may be computed. An amount of memory used for storing unique data of the second subset of data may be estimated based on the set difference. The unique data may be present in the second subset of data but absent from the first subset of data.

Abstract: A computer implemented device is described that is adapted for improving memory efficiency for conducting machine learning on multi-dimensional vectors stored as specially configured data structures. The device includes network interfaces adapted for receiving data sets and communicating with data harvesting applications, as well as data storage and memory for storing the configured data structures. The multi-dimensional vectors and the system provide a data architecture that processes disparate data sets to programmatically extract features transformed from raw information, the extracted features stored in the form of data values suitable for conducting data approximations and neural network processing.

Abstract: Systems and methods for data management using tagging rules and/or policies. The systems and methods described herein may allow users or administrators to easily label data, so as to organize the data in using any suitable terminology or parameters. Tagging rules (or tag rules) may apply or assign one or more tags to a data file or object. A tag may relate to various components of the data file or object. For example, a tag may relate to a creation date, author, size, or information within the data, such as whether the file or object includes a picture. Once the data is associated with one or more tags, policies may determine how the data is manipulated, stored, accessed, or otherwise used. Policies may relate to actions or operations to be performed with respect to data having one or more particular tags.

Abstract: Techniques for improving database searches are described herein. In an embodiment, a server computer system stores one or more first datasets in a first data repository and one or more second datasets in a second data repository. The server computer receives a request to perform an analysis on a particular dataset. The server computer determines that the particular dataset is stored in the first data repository and the second data repository. Based, at least in part, on an attribute of the request, the server computer selects the second data repository and responds to the request with data from the particular dataset stored in the second data repository.

Abstract: In an example, a method comprises determining, based on a set of metadata items to be stored, a first sequence and a second sequence, wherein the first sequence and the second sequence each include a plurality of key-value pairs, each key-value pair including a metadata item from the set of metadata items and a keyword corresponding to the metadata item in the set. The method also comprises causing a first co-routine to utilize available computing resources to process the first sequence. The method further comprises in response to an amount of computing resources available for the first co-routine to process the first sequence being below a first threshold, causing a second co-routine to process the second sequence, wherein the second co-routine is different from the first co-routine. This method can increase the utilization rate of the processor and more rapidly stores the metadata into the external storage device.

Abstract: A selection of a dimension tree from multiple dimension trees may be received. In response to the selection of the selected dimension tree, additional dimension trees associated with the selected dimension tree may be provided. Components of a report may be allowed to be individually chosen from an additional dimension tree of the additional dimension trees by a placement of dimensions of the additional dimension tree on areas of the report.

Abstract: Examples of techniques for service level management of a workload defined environment are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include: collecting runtime workload data for a workload executing on a processing system; collecting performance data for the workload within a container; performing, by a processing device, a determination of whether the runtime workload data satisfies the goal set forth in the service level agreement; providing data from within the container in a format utilized by an application program interface; and accessing the data from within the container through the application program interface from outside of the container.

Abstract: One or more techniques and/or systems are provided for detecting stale data and/or changed data. For example, a bitmap file may be maintained and mapped to an inofile describing various states of files of a file system. The bitmap file may be populated with bitmap records indicating whether files were accessed, modified, or have other states. The bitmap file may efficiently convey information used to determine whether files have not been accessed recently (e.g., stale data) or were recently modified (e.g., changed data) compared to the inofile because the bitmap file may comprise a fraction of the size of the inofile (e.g., a byte of information may be used to represent various states of one or more files). In this way, instead of evaluating a relatively larger inofile, the bitmap file may be evaluated to efficiently identify stale data for deletion or destaging and/or changed data for backup.

Abstract: Systems and methods for managing a highly available distributed hybrid database comprising: a memory storing instructions; and one or more processors configured to execute the instructions to: receive a query from a user device to retrieve data from a distributed database comprising a source node, a first plurality of replica nodes, and a second plurality of replica nodes, wherein the source node and the first plurality of replica nodes form a transactional cluster, and wherein the second plurality of replica nodes forms an analytical cluster; determine whether to process the query using the transactional cluster or the analytical cluster based on one or more rules; translate the query into a first protocol that the determined cluster comprehends; select a replica node corresponding to the determined cluster; process the query using the selected replica node; and send data associated with results from processing the query to the user device.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular in-put/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: A biological information storage system and an in-vehicle biological information storage device include a biological information detection unit configured to detect biological information of an occupant of a vehicle, an in-vehicle storage unit placed in the vehicle to store information, a portable storage unit provided in a mobile terminal that can be carried to the inside of the vehicle to store information, and an in-vehicle information processing unit capable of executing a processing of distributingly storing the biological information detected by the biological information detection unit in the in-vehicle storage unit and the portable storage unit. In this configuration, the biological information storage system and the in-vehicle biological information storage device can use the biological information inside and outside the vehicle.

Abstract: Disclosed herein are embodiments of a cloud data synchronization system enabling an user operating a mobile client device to download mission-specific data sets from a fixed cloud-based server system to a database of the mobile client device, and then use the downloaded data sets independently on the mobile client device when the mobile client device is disconnected from a network connecting to the fixed cloud-based server system. When connectivity to the fixed cloud-based server system is re-established by the mobile client device in an intermittent and bandwidth-limited communication network environment, the fixed cloud-based server system may provide bi-directional data synchronization between records of the fixed cloud-based server system and the mobile client device to update the data sets on the fixed cloud-based server system and the mobile client device while operating in the intermittent and bandwidth-limited communication network environment.

Abstract: A computer-implemented method for processing an update event for a target graph may be provided. The method comprises upon an event broker receiving a vertex update event, assigning the vertex update event to a compute node which processes update events for the vertex. Upon the event broker receiving an update event targeting a linking edge in the target graph, performing by the event broker: dividing the update event into a pair of create-if-not-exist sub-events, and an edge update sub-event, assigning the first create-if-not-exist sub-event to a first compute node, and integrating the first create-if-not-exist sub-event into a stream of update events for the first vertex. The same happens for the second vertex. The edge update sub-event is assigned to a third compute node, and integrates into the edge update sub-event stream.

Abstract: Presenting workload performance in a storage system, including: receiving, via a user interface, information describing a potential change to an execution environment of the storage system; and displaying, via the user interface and in dependence upon a load model and predicted characteristics of one or more workloads executing on the storage system, predicted performance load on the storage system that would result from implementing the potential change.

Abstract: A lock-free data structure may be used to provide concurrent access to a data retention index for a data store. Different processes may obtain keys to the data retention index from the lock-free data structure. The different processes may update entries in the data retention index corresponding to the keys to identify data objects to retain in the data store. The data retention index may be evaluated to determine data objects not identified in the data retention index and reclaim portions of the data store that store the determined data objects for storing other data.

Abstract: A system with feed-back communication in real-time in a telecommunication network includes a server holding a communication service and client devices connected to the server. The communication service keeps track of continuously received client device information. The communication service holds an algorithm, which continuously creates unique status and comparison information associated with each client device in real-time. Furthermore, the communication service sends information created by the algorithm in the form of a unique client-wise feed-back report showing the situation based on the information for a given point of time. The invention is also concerned with a method for feed-back communication used in the system, and a communication service program product in a server in a telecommunication network and connected to client devices, which communication service program product performs the steps of the method of the invention when run in a computer readable media.

Abstract: Technologies are described herein for identification and presentation of changelogs relevant to a tenant of a multi-tenant cloud service. Change feature extraction is performed on changelogs associated with a tenant of the multi-tenant cloud service to identify features associated with the changelogs. Machine learning based classification can then be performed on the changelogs to classify the changelogs. Misclassification correction might also be performed on the classified changelogs. Machine learning can also be utilized to identify a subset of the changelogs as being relevant to the tenant. A user interface (UI) can then be generated and provided to the tenant that includes the subset of the changelogs. The tenant's interaction with the changelogs presented in the UI can be monitored and data describing the interaction can be used to modify machine learning models utilized for machine learning change classification and for determining the relevance of a changelog to the tenant.

Abstract: An on-line job application process that encourages participants to provide as much information as possible before drop-offs occur, by requesting access to authentication information such as social network identity, and moving an Applicant Tracking System login step to near the end. If a drop off does occur, a dummy email address can then be associated with the user to enable subsequent follow up.

Abstract: In one embodiment, a method includes receiving a plurality of candidate offers that are likely associated with a product being offered for sale. Each candidate offer is associated with a common set of attributes, wherein at least one of the attributes in the common set uniquely identifies the product being offered for sale. The method further includes, for each attribute value of each candidate offer, scoring the attribute value based on an aggregate number of times that the attribute value is found across corresponding attributes of other candidate offers in the plurality, and adding the scores for a first pair of attributes to determine a cumulative score for the candidate offer. One of the attributes in the first pair is the at least one attribute that uniquely identifies the product. The method still further includes updating a set of normalized attribute values for the product to include the attribute values for the first pair of attributes from a highest scoring candidate offer.

Abstract: A method according to one embodiment includes monitoring, by an access control device, for changes to a first access control database stored on the access control device, wherein the first access control database is associated with a first security ecosystem having a first set of security protocols; automatically updating a mediation database stored on the access control device to identify a change to the first access control database in response to a determination that the change occurred; and automatically updating a second access control database stored on the access control device based on the change identified in the mediation database and in response to the automatic update of the mediation database, wherein the second access control database is associated with a second security ecosystem different from the first security ecosystem and having a second set of security protocols different from the first set.

Abstract: Systems and methods for a history walker interface to a time-based data structure are disclosed. A time-based data structure may contain information about updates to a set of records that change periodically over time. For example, a set of records that record state transitions of a task item as the task item progresses through its life cycle. An example task item may be represented by a change request or incident report in a help desk software application. The task item begins with an “open” state and may transition through any number of states (e.g., assigned, on-hold, test, customer response requested, etc.) on its way to ultimately being “closed” as completed. A history walker interface may assist application developers when creating applications to indicate how the task item transitioned through its different states throughout its lifecycle.

Abstract: A method for performing in-memory hash join processing. This method utilizes bulk processing within the hash join steps, such as performing bulk reads of hash values from tables to be joined, and performing bulk probes of hash values in tables to be joined, thereby providing more efficient utilization of memory bandwidth and CPU throughput, reducing memory accesses in the execution path, and reducing CPU cycles per instruction. Data movement is reduced by reducing load-stores to memory and by performing more operations in CPU cache.

Abstract: A method, operable by a service registry in a service orientated architecture system, for providing a service within the system. A service request is received from a service requester in the system. The status of the service is checked as registered in the service registry. In response to the service not having a registered service endpoint or a property of the service falling below a defined threshold, a request is sent to service providers or subsequent service registries to provide a new service and according to the defined threshold. In response to a service provider providing the new service according to the defined standard, the service registry is updated with the new service and responding to the service requester that the service is available. The embodiments allow both direct interaction between the requester and provider or indirect interaction via a service management layer.

Abstract: A user state tracking and anomaly detector for multi-tenant SaaS applications operates in association with a log management solution, such as a SIEM. A given SaaS application has many user STATES, and the applications often have dependencies on one another that arise, for example, when a particular application makes a request (typically on behalf of a user) to take some action with respect to another application. The detector includes a mapper that maps the large number of user STATES to a reduced number of mapped states (e.g., “red” and “green”), and a dependency module that generates user-resource dependency graphs. Using a dependency graph, a SaaS modeler in the detector checks whether a particular dependency-based request associated with a SaaS application is valid. State and dependency information generated by the mapper and dependency module are reported back to the log management solution to facilitate improved logging and anomaly detection.

Abstract: Techniques to dynamically discover and manage page fragments, e.g., to provide a dynamic application user interface, are disclosed. In various embodiments, an indication to add a fragment dynamically to a current application page is received. The fragment to be added is determined, in response to the indication, and added dynamically to the current application page.

Abstract: Method and systems for data retrieval is provided. A query is received to search for metric data corresponding to a component of a datacenter, the component of the datacenter identified by a metric instance. An index is searched for the metric instance, the index comprising the metric instance synchronously stored in a flattened format. Further, a slot identification corresponding to the metric instance is determined, the slot identification identifying a location of the metric data in an inventory. Based on the determined slot identification, metric data is retrieved from the inventory, the inventory comprising the metric data asynchronously stored in an unflattened format. Additionally, a query result comprising the metric data corresponding to the search is communicated.

Abstract: Method, apparatus and product for data cloning in a memory-based file systems. A content of each object of the file system is retained in data units and represented using a tree of the nodes comprising tree nodes and leaf nodes. The file system utilizes a volatile resource usage collection and volatile reference counters for each node of the nodes. In response to mounting the file system, a storage retaining a file system metadata is scanned to compile the volatile resource usage collection and the volatile reference counters. In response to a determination to reuse a pointed node of a tree of an object by a pointing node, a volatile reference counter of the pointed node is updated and the pointing node is atomically set, using a single instruction, to point to the pointed node.

Abstract: A display control apparatus includes a recognizing unit configured to recognize a position of an operator and a position of a hand or the like of the operator, a calculating unit configured to regard a position of the operator in a screen coordinate system set on a screen as an origin of an operator coordinate system and multiply a position of the hand or the like with respect to the origin of the operator coordinate system by a predetermined function, thereby calculating a position of display information corresponding to the hand or the like in the screen coordinate system, and a control unit configured to cause the display information to be displayed at the position in the screen coordinate system calculated by the calculating unit.

Abstract: Disclosed herein are embodiments of a cloud data synchronization system enabling an user operating a mobile client device to download mission-specific data sets from a fixed cloud-based server system to a database of the mobile client device, and then use the downloaded data sets independently on the mobile client device when the mobile client device is disconnected from a network connecting to the fixed cloud-based server system. When connectivity to the fixed cloud-based server system is re-established by the mobile client device in an intermittent and bandwidth-limited communication network environment, the fixed cloud-based server system may provide bi-directional data synchronization between records of the fixed cloud-based server system and the mobile client device to update the data sets on the fixed cloud-based server system and the mobile client device while operating in the intermittent and bandwidth-limited communication network environment.

Abstract: A method and technique for allocation and balancing of storage resources includes monitoring, for each of a plurality of storage controllers, an input/output (I/O) latency value based on an I/O latency associated with each storage volume controlled by a respective storage controller. A network bandwidth utilization value and a network latency value corresponding to each storage controller is also monitored. An I/O latency value threshold, a network bandwidth utilization threshold, and a network latency value threshold is determined. Responsive to at least one of the I/O latency value, the network bandwidth utilization value and the network latency value for at least one storage controller exceeding a respective threshold, storage volume distribution among the storage controllers is rebalanced.

Abstract: Systems and methods for integrating the lifecycle of nonvolatile memory blocks with the transactional guarantees of a database are disclosed. One method includes creating a first fragment of a first database column in a volatile memory system, receiving a first pointer to a first block of a second non-volatile memory (NVM) system, the first block associated with the first fragment of the first database column, and populating the first block of the second non-volatile memory system using the first pointer. The method further includes committing the first block of the second non-volatile memory system and associating a first block identifier of the first block of the second non-volatile memory system with the first fragment of the first database column, while blocking creation of a database savepoint, and then unblocking creation of the database savepoint. A block key associated with a first fragment may comprise various identifiers such as block, column, table and partition identifiers.

Abstract: Systems and methods for providing more efficient handling of I/O requests for clustered file system data subject to data migration or the like. For instance, exemplary systems can more quickly determine if certain files on primary storage represent actual file data or stub data for recalling file data from secondary storage. Certain embodiments utilize a driver cache on each cluster node to maintain a record of recently accessed files that represent regular files (as opposed to stubs). A dual-locking process, using both strict locking and relaxed locking, maintains consistency between driver caches on different nodes and the data of the underlying clustered file system, while providing improved access to the data by the different nodes. Moreover, a signaling process can be used, such as with zero-length files, for alerting drivers on different nodes that data migration is to be performed and/or that the driver caches should be flushed.

Abstract: An embodiment of the invention may include a method, computer program product and system for processing a transaction. The embodiment may include receiving a transaction request by a first transaction processing monitor from a plurality of transaction processing monitors. The transaction request contains details for updating a global database. The embodiment may include determining whether the global database has begun updating based on the transaction request. Determining whether the global database has begun updating includes checking a transaction state database. The embodiment may include determining that the global database has not begun updating, and updating an entry in the global database based on the details contained in the transaction request.

Abstract: An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The processing device is configured to initiate distributed computations across a plurality of data processing clusters associated with respective data zones, and to combine local processing results of the distributed computations from respective ones of the data processing clusters. Each of the data processing clusters is configured to process data from a data source of the corresponding data zone using a local data structure and an associated computational framework of that data processing cluster. A first one of data processing clusters utilizes a first local data structure configured to support a first computational framework, and at least a second one of the data processing clusters utilizes a second local data structure different than the first local data structure and configured to support a second computational framework different than the first computational framework.

Abstract: An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The processing device is configured to initiate distributed computations across a plurality of data processing clusters associated with respective data zones, and to combine local processing results of the distributed computations from respective ones of the data processing clusters. The data processing clusters are configured to perform respective portions of the distributed computations by processing data local to their respective data zones utilizing at least one local data structure configured to support at least one computational framework. A first one of data processing clusters is implemented in a first cloud of a first type provided by a first cloud service provider. At least a second one of the data processing clusters is implemented in a second cloud of a second type different than the first type, provided by a second cloud service provider.

Abstract: A method for optimizing data access in a data warehouse having a model driven architecture is provided. A data model for storing time series measurement data representing a plurality of dimensions and measurements is received. The data model includes one or more aggregation tables. A query having one or more predicates is received from a user. The one or more predicates are analyzed to determine whether the received query can be optimized using the existing aggregation tables. The received query is optimized using the aggregation tables, in response to determining that such query optimization is possible.