International Business Machines Corporation

Konstantinos Katrinis

Andrea Reale

Catherine Helen Crawford

Piotr Padkowski

Michele Gazzetti

Yiannis Gkoufas

Eugen Schenfeld

Stefano Braghin

Spyridon Antonatos

Cheng-Hong Li

Ioannis Gkoufas

Alfred J Park

Dimitrios Syrivelis

Shoukat Ali

Deepak Ajwani

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.

Preserving data security in a shared computing file system

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.

Minimizing data loss in a computer storage environment with non-guaranteed continuous network connectivity

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.

Application-level, cooperative minimization of offlining incidents in an internet of things (IoT) environment

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.

Space-efficient secondary indexing on distributed data stores

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.

Dynamic graph adaptation for stream processing over hybrid, physically disparate analytics platforms

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.

Memory access broker system with application-controlled early write acknowledgment support and identification of failed early write acknowledgment requests to guarantee in-order execution of memory requests of applications

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.

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Dublin, Ireland

Konstantinos Katrinis