Abstract: A system and method are provided. The method includes receiving, by a server, characteristics of a work product produced by using at least one application in a device. The method further includes computing, by the server, measures of at least one of a complexity, a quality, and an expertise level for the work product responsive to the characteristics. The method also includes determining, by the server, whether to cause at least one hardware device to selectively perform an action relating to using the application, responsive to the measures.

Abstract: Methods, systems, and articles of manufacture for selected VM replication and VM restart techniques are provided herein. A method includes selecting a sub-set of one or more VMs from a set of multiple VMs in a system to be replicated before an identification of one or more failed VMs in the set of multiple VMs; replicating the sub-set of one or more VMs before the identification of one or more failed VMs in the set of multiple VMs; selecting a sub-set of the identified one or more failed VMs to be restarted upon an identification of the one or more failed VMs in the set of multiple VMs in the system; and restarting the sub-set of the identified one or more failed VMs upon the identification of the one or more failed virtual machines in the set of multiple VMs.

Abstract: A computer implemented method creates a snapshot of a logical volume of a computer. The computer stores a system state of the computer in persistent memory. The computer flushes a cache of the computer. The computer identifies a preceding snapshot. In response to identifying the preceding snapshot, the computer hardens changes occurring after the preceding snapshot. The computer then switches from a first indirection table to a second indirection table.

Abstract: User trustworthiness may be introduced in implicit feedback based supervised machine learning systems. A set of training data examples may be scored based on the trustworthiness of users associated respectively with the training data examples. The training data examples may be sampled into a plurality of training data sets based on a weighted bootstrap sampling technique, where each weight is a probability proportional to trustworthiness score associated with an example. A machine learning algorithm takes the plurality of the training data sets as input and generates a plurality of trained models. Outputs from the plurality of trained models may be ensembled by computing a weighted average of the outputs of the plurality of trained models.

Abstract: In one embodiment, a computer-implemented method includes receiving a query. A target confidence level is established for the query, the target confidence level representing a requested level of accuracy for a result of the query. At least one individual confidence level is assigned to each of a plurality of analytics engines. One or more analytics engines are queried based on the query. A group of the analytics engines are selected, by a computer processor, where the analytics engines in the selected group have query responses to the query that are deemed to be similar to one another, and where the selection of the selected group is at least partially based on the target confidence level. The query responses from the selected group of analytics engines are summarized into a final result, where the final result is an answer to the query.

Abstract: In one embodiment, a computer-implemented method includes receiving a query. A target confidence level is established for the query, the target confidence level representing a requested level of accuracy for a result of the query. At least one individual confidence level is assigned to each of a plurality of analytics engines. One or more analytics engines are queried based on the query. A group of the analytics engines are selected, by a computer processor, where the analytics engines in the selected group have query responses to the query that are deemed to be similar to one another, and where the selection of the selected group is at least partially based on the target confidence level. The query responses from the selected group of analytics engines are summarized into a final result, where the final result is an answer to the query.

Abstract: A computer implemented method creates a snapshot of a logical volume of a computer. The computer stores a system state of the computer in persistent memory. The computer flushes a cache of the computer. The computer identifies a preceding snapshot. In response to identifying the preceding snapshot, the computer hardens changes occurring after the preceding snapshot. The computer then switches from a first indirection table to a second indirection table.

Abstract: Methods, systems, and articles of manufacture for selected VM replication and VM restart techniques are provided herein. A method includes selecting a sub-set of one or more VMs from a set of multiple VMs in a system to be replicated before an identification of one or more failed VMs in the set of multiple VMs; replicating the sub-set of one or more VMs before the identification of one or more failed VMs in the set of multiple VMs; selecting a sub-set of the identified one or more failed VMs to be restarted upon an identification of the one or more failed VMs in the set of multiple VMs in the system; and restarting the sub-set of the identified one or more failed VMs upon the identification of the one or more failed virtual machines in the set of multiple VMs.

Abstract: Handling problem tickets in a computing environment, in one aspect, may comprise identifying a plurality of tickets generated in the computing environment that are candidates for consolidation. The identifying may be done based on whether the tickets have the same or similar root cause, whether they are generated from virtual machines having same configuration, and/or one or more other criteria. The tickets which are candidates for consolidation may be grouped into a bundled group, and marked as bundled. Resolving a ticket from the bundled group may potentially resolves all tickets from the bundled group.

Abstract: A computer implemented method creates a snapshot of a logical volume of a computer. The computer stores a system state of the computer in persistent memory. The computer flushes a cash of the computer. The computer identifies a preceding snapshot. Responsive to identifying the preceding snapshot, the computer hardens changes occurring after the preceding snapshot. The computer then switches from a first indirection table to a second indirection table.

Abstract: A computer implemented method creates a snapshot of a logical volume of a computer. The computer stores a system state of the computer in persistent memory. The computer flushes a cash of the computer. The computer identifies a preceding snapshot. Responsive to identifying the preceding snapshot, the computer hardens changes occurring after the preceding snapshot. The computer then switches from a first indirection table to a second indirection table.

Abstract: Handling problem tickets in a computing environment, in one aspect, may comprise identifying a plurality of tickets generated in the computing environment that are candidates for consolidation. The identifying may be done based on whether the tickets have the same or similar root cause, whether they are generated from virtual machines having same configuration, and/or one or more other criteria. The tickets which are candidates for consolidation may be grouped into a bundled group, and marked as bundled. Resolving a ticket from the bundled group may potentially resolves all tickets from the bundled group.

Abstract: Handling problem tickets in a computing environment, in one aspect, may comprise identifying a plurality of tickets generated in the computing environment that are candidates for consolidation. The identifying may be done based on whether the tickets have the same or similar root cause, whether they are generated from virtual machines having same configuration, and/or one or more other criteria. The tickets which are candidates for consolidation may be grouped into a bundled group, and marked as bundled. Resolving a ticket from the bundled group may potentially resolves all tickets from the bundled group.

Abstract: Bad block management for flash memory including a method for storing data. The method includes receiving a write request that includes write data. A block of memory is identified for storing the write data. The block of memory includes a plurality of pages. A bit error rate (BER) of the block of memory is determined and expanded write data is created from the write data in response to the BER exceeding a BER threshold. The expanded write data is characterized by an expected BER that is lower than the BER threshold. The expanded write data is encoded using an error correction code (ECC). The encoded expanded write data is written to the block of memory.

Abstract: An embodiment of the invention, directed to assessing quality of recorded service data, comprises the step of receiving a record containing service data at a service record evaluator. The method further comprises selecting at least one information field of a plurality of information fields contained in the received record, and determining a numerical quality score for each selected information field. Each of the quality scores is used to compute a cumulative quality score for the record, and it is determined whether the cumulative quality score is no less than a minimum quality threshold.

Abstract: An embodiment of the invention, directed to assessing quality of recorded service data, comprises the step of receiving a record containing service data at a service record evaluator. The method further comprises selecting at least one information field of a plurality of information fields contained in the received record, and determining a numerical quality score for each selected information field. Each of the quality scores is used to compute a cumulative quality score for the record, and it is determined whether the cumulative quality score is no less than a minimum quality threshold.

Abstract: A memory system that includes a plurality of memory arrays having memory cells characterized by a variable write time. The memory system also includes a memory bus configured to receive write commands, and a plurality of data buffers configured to communicate with the memory arrays. The memory system further includes an address buffer configured to communicate with the memory arrays to store the write addresses. A mechanism configured to receive a write command and to split a data line received with the write command into a number of parts is also included in the memory system. The parts of the data line are stored in different data buffers and the writing of the parts of the data line to memory arrays at the write address is initiated. The write command is completed when write completion signals specifying the write address have been received from all of the memory arrays.

Abstract: Bad block management for flash memory including a method for storing data. The method includes receiving a write request that includes write data. A block of memory is identified for storing the write data. The block of memory includes a plurality of pages. A bit error rate (BER) of the block of memory is determined and expanded write data is created from the write data in response to the BER exceeding a BER threshold. The expanded write data is characterized by an expected BER that is lower than the BER threshold. The expanded write data is encoded using an error correction code (ECC). The encoded expanded write data is written to the block of memory.

Abstract: A memory system that includes a plurality of memory arrays having memory cells characterized by a variable write time. The memory system also includes a memory bus configured to receive write commands, and a plurality of data buffers configured to communicate with the memory arrays. The memory system further includes an address buffer configured to communicate with the memory arrays to store the write addresses. A mechanism configured to receive a write command and to split a data line received with the write command into a number of parts is also included in the memory system. The parts of the data line are stored in different data buffers and the writing of the parts of the data line to memory arrays at the write address is initiated. The write command is completed when write completion signals specifying the write address have been received from all of the memory arrays.

Abstract: The present invention provides a system for determining a metric of capacity in computing systems and computer applications. Capacity in this sense refers to the ability of computer systems and computer applications to perform work. Many applications and multi-hop system strategies could benefit from understanding the amount of work a particular system or application is capable of performing. A metric such as this can be very difficult to calculate due to widely varying system hardware, operating system architectures, and application behavior/performance.