Abstract: In one exemplary aspect, a method includes building a data index from a set of data from a client application in a distributed database system. The data index is optimized for operation in a DRAM data-storage device, and wherein the data index is built to use a set of fix-sized blocks that fit a DRAM device block size. The data index is maintained in the DRAM data-storage device. An SSD data-storage device is used to persistently store the data referenced by the data index in the DRAM data-storage device, and wherein the data and the metadata are stored in the SSD data-storage device in a log-based format.

Abstract: In one exemplary aspect, a method of a cluster-node load balancing system of a distributed database system includes receiving a request from a cluster with at least one node of a cluster of the distributed database system. The request includes a query for an identity of all other nodes known by the node as well as a metadata of all data maintained by the node. The identity of all other nodes known by the node as well as the metadata of all data maintained by the node is provided to the cluster.

Abstract: In one exemplary aspect, a method includes building a data index from a set of data from a client application in a distributed database system. The data index is optimized for operation in a DRAM data-storage device, and wherein the data index is built to use a set of fix-sized blocks that fit a DRAM device block size. The data index is maintained in the DRAM data-storage device. An SSD data-storage device is used to persistently store the data referenced by the data index in the DRAM data-storage device, and wherein the data and the metadata ate stored in the SSD data-storage device in a log-based format.

Abstract: The present subject matter discloses a system and a method for allocating task on crowdsourcing platform. A task may be received from a first user on the platform. Further, a protocol may be configured by the first user indicating one or more task actions to be performed for completing the task. Further, a hierarchy comprising a plurality of micro-tasks associated with the task may be created. Based on the protocol configured, the system may assign a task action to each of the plurality of micro-tasks. Further, the system may allocate each of the plurality of micro-tasks to a second user based on the task action assigned and a set of parameters. The set of parameters may comprise second user's metadata, completion time associated with each micro-task, size of each micro-task, and form factor of an interface accessed by the second user.

Abstract: In one exemplary aspect, a method of a distributed database system includes the step of detecting that a database node departed from a database cluster. A consensus-based voting process is implemented utilizing all of a set of other database nodes remaining in the database cluster. A cluster configuration is determined with the consensus-based voting process. The cluster configuration includes a new list of the set of other database nodes remaining, in the database cluster. The data is automatically rebalanced among the set of other database nodes remaining in the database cluster according to the cluster configuration. Optionally, the consensus-based voting process can include a Paxos algorithm. The database cluster can be a Not-Only SQL (NOSQL) distributed database cluster.

Abstract: In one exemplary aspect, a method of a cluster-node load balancing system of a distributed database system includes receiving a request from a cluster with at least one node of a cluster of the distributed database system. The request includes a query for an identity of all other nodes known by the node as well as a metadata of all data maintained by the node. The identity of all other nodes known by the node as well as the metadata of all data maintained by the node is provided to the cluster.

Abstract: In one exemplary embodiment, a method of a distributed database system includes the step receiving a query in a query language from a client with a distributed database system. An index that matches the query is located. The index is pre-generated from a database table in the distributed database system. A map function of a MapReduce programming model is implemented using the index. A reduce function of the MapReduce programming model is implemented using the output of the map function. Optionally, a finalize function can be implemented using the output of the reduce function. The distributed database system can be a scalable NoSQL database. The reduce function can be optional when the value of the output of the map function is guaranteed to be unique.

Abstract: In one exemplary embodiment, a method of a distributed database system includes the step receiving a query in a query language from a client with a distributed database system. An index that matches the query is located. The index is pre-generated from a database table in the distributed database system. A map function of a MapReduce programming model is implemented using the index. A reduce function of the MapReduce programming model is implemented using the output of the map function. Optionally, a finalize function can be implemented using the output of the reduce function. The distributed database system can be a scalable NoSQL database. The reduce function can be optional when the value of the output of the map function is guaranteed to be unique.

Abstract: In one exemplary embodiment, a method includes allocating an arena block of a shared memory of a database node server. The arena block is divided into one or more slots. The one or more slots include a discreet and constant area of memory within the arena block. Each slot is assigned a constant-memory address relative to an arena-block's shared memory address. The index is implemented as a red-black tree data structure. Each red-black tree node is mapped to a slot. Each red-black-tree node is provided a pointer to one or more neighbor nodes. The index stored in shared memory can be used during a ‘warm’ rebooting process.

Abstract: Disclosed is a method and system to provide management of test data, the management performed during at least one stage associated with lifecycle of the test data. The system comprises a processing engine, a categorization module, a privacy regulation module, a meta-data analyzer, and an output generation module. The processing engine configured to generate the test data in response to a test data request. The processing engine further comprises of the categorization module configured to categorize the test data request. The processing engine further comprises of the privacy regulation module configured to model at least one privacy regulation in accordance with a geographical location and an enterprise domain. The processing engine further comprises the meta-data analyzer configured to analyze an imported meta-data. The system further comprises of the output generation module configured to provide the test data so requested.

Abstract: In one exemplary embodiment, a method of a distributed database system includes the step of receiving a database transaction with a node of the distributed database system. A priority of the database transaction is determined. A load of a transaction queue of the node is determined. The execution of a database transaction is delayed if the load of the transaction queue is greater than a first-water mark. The database transaction is delayed for a specified period. A portion of the database transaction is execution after the specified period. It is determined if the load of the queue is below a second-water mark after the specified period. A remaining portion of the database transaction can be processed if the load of the queue is below the second-water mark.

Abstract: Embodiments of the invention are directed to determining a universal device identifier (UDID) for a client device, based on multiple service-dependent identifiers (SDIDs) used by client applications, websites, or other services to identify the client device. SDID types are prioritized with pre-assigned weights. A received SDID causes a single database read to access all other SDIDs, and any existing UDID(s) associated with the client device. A final UDID is created or selected based on the SDID weights. The database is updated in a sequence that enables self recovery of a prior UDID in case of database error during update. First, any non-selected UDID records are updated with the final UDID. Next, lower weighted SDID records are updated. The final UDID record is updated. The highest weighted SDID record is updated last, to preserve the prior UDID as long as possible in case of update error, which aborts the remaining update.

Abstract: System and method for handling calendar events among a plurality of user devices in a communication network are disclosed. The system includes a device manager for interfacing with the plurality of user devices, where the plurality of user devices use different calendar applications and have calendar events in different data formats, and the plurality of user devices include at least a meeting organizer device and one or more attendee devices. The system further includes a calendar gateway for processing the calendar events to form a corresponding connected calendar-data-set for each connected user, where the connected calendar-data-set is stored in a calendar backend server and is shared among one or more devices of each connected user, and an email gateway for communicating the calendar events between the calendar gateway and the plurality of user devices.

Abstract: In one exemplary embodiment, a method of a distributed database system includes the step of receiving a database transaction with a node of the distributed database system. A priority of the database transaction is determined. A load of a transaction queue of the node is determined. The execution of a database transaction is delayed if the load of the transaction queue is greater than a first-water mark. The database transaction is delayed for a specified period. A portion of the database transaction is execution after the specified period. It is determined if the load of the queue is below a second-water mark after the specified period. A remaining portion of the database transaction can be processed if the load of the queue is below the second-water mark.

Abstract: System and method for notifying a user status of communications between a server and the user having one or more user devices in a communication network are disclosed. The system includes a server for communicating with the user, where the server includes a connected-data-set and the one or more user devices share portions of the connected-data-set, logic for monitoring communications between the server and the one or more user devices for a predetermined set of notification conditions, and logic for sending a notification message to the one or more user devices when a notification condition is detected.

Abstract: Embodiments of the invention are directed to determining a universal device identifier (UDID) for a client device, based on multiple service-dependent identifiers (SDIDs) used by client applications, websites, or other services to identify the client device. SDID types are prioritized with pre-assigned weights. A received SDID causes a single database read to access all other SDIDs, and any existing UDID(s) associated with the client device. A final UDID is created or selected based on the SDID weights. The database is updated in a sequence that enables self recovery of a prior UDID in case of database error during update. First, any non-selected UDID records are updated with the final UDID. Next, lower weighted SDID records are updated. The final UDID record is updated. The highest weighted SDID record is updated last, to preserve the prior UDID as long as possible in case of update error, which aborts the remaining update.

Abstract: Method and apparatus for updating user data from multiple data sources in a data gateway are disclosed. The data gateway includes a persistent job table for centrally storing jobs to be processed by the plurality of servers, a server table for centrally storing statuses of activities of the plurality of servers, and a job engine for processing job requests from the multiple data sources using the persistent job table and the server table. The data gateway includes a server farm having a plurality of servers, and where both the persistent job table and the server table reside outside the plurality of servers. The data gateway further includes a virtual Internet Protocol load balancer for dynamically mapping of jobs to be processed to particular servers according to user identifiers.

Abstract: Embodiments of the invention are directed to determining a universal device identifier (UDID) for a client device, based on multiple service-dependent identifiers (SDIDs) used by client applications, websites, or other services to identify the client device, SDID types are prioritized with pre-assigned weights. A received SDID causes a single database read to access all other SDIDs, and any existing UDID(s) associated with the client device. A final UDID is created or selected based on the SDID weights. The database is updated in a sequence that enables self recovery of a prior UDID in case of database error during update. First, any non-selected UDID records are updated with the final UDID. Next, lower weighted SDID records are updated. The final UDID record is updated. The highest weighted SDID record is updated last, to preserve the prior UDID as long as possible in case of update error, which aborts the remaining update.

Abstract: In one example, a synchronization server includes logic operable to engage in a first synchronization session with a client device, wherein client modifications and server modifications may be exchanged based, at least in part, on synchronization data stored locally. The synchronization server further includes logic operable to initiate a query of a remote database (e.g., having data associated with the synchronization data) to determine differences between the synchronization data stored locally and associated data stored remotely. The synchronization server is further operable to initiate an exchange of further server modifications based on the differences between the synchronization data stored locally and the associated data stored remotely. In one example, the server may engage in a second synchronization session with the client device to update the client device with differences to the synchronization data stored locally and the remote database.

Abstract: Two-way digital media devices typically store digital identifying data that identify the user to providers of content and interactive data. In the case of a Web browser of a personal computer, the digital identity is stored in the form of a plurality of cookies that are used by respective web sites to personalize the web site experience for each particular user. When a user is at a different computer, the digital identifying data is not available. In addition, other types of interactive devices, such as CATV settop boxes, cell phones, PDAs and the like, may not have enough non-volatile memory (persistent storage) to store the digital identifying data. In order to provide users with a portable digital identity, a digital identity server is provided as a server node on the Internet, which retrieves digital identifying data and downloads such digital identifying data to any device upon request.