Abstract: A computer system including a memory, a network interface, and a processor is provided. The processor is configured to receive, via the network interface, one or more design attributes of a microapp from a microapp development tool hosted by an endpoint device, the one or more design attributes comprising an identifier of a system of record configured to supply data to the microapp; execute a machine learning process trained, using data regarding microapp usage within an organization, to predict at least one user engagement metric for the microapp based on the one or more design attributes; and transmit, via the network interface, the at least one user engagement metric to the microapp development tool hosted by the endpoint device.

Abstract: A system and method for identifying vulnerabilities in a security information and event management (SIEM) system. A method includes: initializing a security testing agent with a goal and a reinforcement learning model, wherein the model defines states indicative of progress towards the goal, a set of actions that can be taken by a legitimate user within a target environment, and reward values associated with taking a specified action in a specified state; and learning a policy to achieve the goal within the target environment, wherein learning: selects and takes a target action from the set of actions for a current state; monitors for an alert triggered in response to the target action being taken; receives a reward value associated with the target action and current state; calculates updated reward value in the model; and in response to the process not being terminated, repeats the process for a next state.

Abstract: Various embodiments are provided for providing data security in a computing environment are provided. Data may be inspected during a write operation or a read operation and selected data from the data may be filtered according to one or more data security policies or rules prior to sending the plurality of data to or receiving the plurality of data from a shared computing file system.

Abstract: Embodiments for preventing data loss in a computing storage environment by a processor. One or more offline events in a locality failing to have continuous network connectivity may be detected. An ad-hoc distributed file system, having one or more edge devices associated with the locality, may be created for storing data produced during the one or more offline events.

Abstract: Embodiments for optimization of storage and network usage in an Internet of Things (IoT) environment by a processor. A data stream production rate for one or more applications may be dynamically adjusted based on current network conditions, a network status forecast, storage availability, network disruption patterns, quality of service (QoS) policies, application or network priorities, or a combination thereof to reduce data loss at a locality caused by network disruption in the IoT computing environment.

Abstract: Various embodiments are provided for providing data security in a computing environment are provided. Data may be inspected during a write operation or a read operation and selected data from the data may be filtered according to one or more data security policies or rules prior to sending the plurality of data to or receiving the plurality of data from a shared computing file system.

Abstract: Embodiments for space-efficient secondary indexing on distributed data stores in a networked computing environment by a processor. Replicas of corresponding master data at a file system level of a distributed file system (DFS) are sorted for creating secondary indexes of the replicas on different columns of a database table, wherein existing replication data is leveraged for the sorting.

Abstract: Dynamic graph adaptation for stream processing over hybrid, physically disparate analytics platforms, by means of a computer-implemented method that includes obtaining a streaming application graph, generating a partitioned graph by partitioning the streaming application graph in response to a topology descriptor and a partitioning algorithm, compiling the partitioned graph into a plurality of subgraphs for deployment to a plurality of respective runtimes that are described by the topology descriptor, and deploying the plurality of subgraphs to the plurality of respective runtimes.

Abstract: Dynamic graph adaptation for stream processing over hybrid, physically disparate analytics platforms, by means of a computer-implemented method that includes obtaining a streaming application graph, generating a partitioned graph by partitioning the streaming application graph in response to a topology descriptor and a partitioning algorithm, compiling the partitioned graph into a plurality of subgraphs for deployment to a plurality of respective runtimes that are described by the topology descriptor, and deploying the plurality of subgraphs to the plurality of respective runtimes.

Abstract: Embodiments for preventing data loss in a computing storage environment by a processor. One or more offline events in a locality failing to have continuous network connectivity may be detected. An ad-hoc distributed file system, having one or more edge devices associated with the locality, may be created for storing data produced during the one or more offline events.

Abstract: Embodiments for a memory access broker system with application-controlled early write acknowledgment support. A memory access broker may be selectively enabled to facilitate early write acknowledgement (EWACK) operations and notification of failed EWACK write requests to one or more issuing applications such that the failed EWACK write requests are logged by the memory access broker for inspection by the one or more issuing applications.

Abstract: Embodiments for optimization of storage and network usage in an Internet of Things (IoT) environment by a processor. A data stream production rate for one or more applications may be dynamically adjusted based on current network conditions, a network status forecast, storage availability, network disruption patterns, quality of service (QoS) policies, application or network priorities, or a combination thereof to reduce data loss at a locality caused by network disruption in the IoT computing environment.

Abstract: Embodiments for a memory access broker system with application-controlled early write acknowledgment support. A memory access broker may be selectively enabled to facilitate early write acknowledgement (EWACK) operations and notification of failed EWACK write requests to one or more issuing applications such that the failed EWACK write requests are logged by the memory access broker for inspection by the one or more issuing applications.

Abstract: Dynamic graph adaptation for stream processing over hybrid, physically disparate analytics platforms, by means of a computer-implemented method that includes obtaining a streaming application graph, generating a partitioned graph by partitioning the streaming application graph in response to a topology descriptor and a partitioning algorithm, compiling the partitioned graph into a plurality of subgraphs for deployment to a plurality of respective runtimes that are described by the topology descriptor, and deploying the plurality of subgraphs to the plurality of respective runtimes.

Abstract: Dynamic graph adaptation for stream processing over hybrid, physically disparate analytics platforms, by means of a computer-implemented method that includes obtaining a streaming application graph, generating a partitioned graph by partitioning the streaming application graph in response to a topology descriptor and a partitioning algorithm, compiling the partitioned graph into a plurality of subgraphs for deployment to a plurality of respective runtimes that are described by the topology descriptor, and deploying the plurality of subgraphs to the plurality of respective runtimes.

Abstract: Embodiments for space-efficient secondary indexing on distributed data stores in a networked computing environment by a processor. Replicas of corresponding master data at a file system level of a distributed file system (DFS) are sorted for creating secondary indexes of the replicas on different columns of a database table, wherein existing replication data is leveraged for the sorting.

Abstract: A method, an apparatus and an article of manufacture for generating a synthetic workload for stream computing. The method includes generating an undirected graph that meets a node degree distribution parameter, obtaining a user-defined parameter for at least one feature for at least one stream computing application, and manipulating the undirected graph to generate a synthetic workload for stream computing in compliance with the user-defined parameter for the at least one feature for the at least one stream computing application.

Abstract: A method, an apparatus and an article of manufacture for generating a synthetic workload for stream computing. The method includes generating an undirected graph that meets a node degree distribution parameter, obtaining a user-defined parameter for at least one feature for at least one stream computing application, and manipulating the undirected graph to generate a synthetic workload for stream computing in compliance with the user-defined parameter for the at least one feature for the at least one stream computing application.