International Business Machines Corporation

Accenture Global Solutions Limited

Tata Consultancy Services Limited

Rohit Jain

Akshat Verma

Gary Denner

Mark Crosbie

Daniel C Gurney

Saurabh Bhola

Hemant Kumar Sivaswamy

Ramani Ranjan Routray

Kaladhar Voruganti

Sugata Ghosal

Upendra Sharma

Srinivasan Balasubramanian

Gauri Sudhir Shah

Roberto C Pineiro

Ravi Ranjan

Vijay H Gurdasani

Vijay Bharti

Jeremiah Joseph

Kamalpreet Sapna

Sumit Kumar Ghosh

Neelam Ved

Tushar Mohan

Rajnee Maheshwari

Murthy V Devarakonda

Marc Adam Kaplan

Tapan Kumar Nayak

Sridhar Gopal Pattar

James Rubas

Jayant Sudhakarrao Dani

Mandis Sadr Mohammad Beigi

Kiran Kumar Nutheti

Pushpender Kumar Garg

Data transformation and data quality checking is provided by reading data from a source datastore and storing the data into memory, performing in-memory processing of the data stored in memory, where the data is maintained in-memory for performance of the in-memory processing thereof, and where the in-memory processing includes performing one or more transformations on the data stored in memory, in which the data stored in memory is transformed and stored back into the memory and applying one or more data quality rules to the data stored in-memory, and based on performing the in-memory processing of the data stored and maintained in memory for the in-memory processing, loading to a target datastore at least some of the data processed by the in-memory processing.

Maintaining data in memory for transformation and quality checking when reading from a source and loading to a target

Techniques for consent centric data compliance checking are disclosed. In an example embodiment, multiple applications associated with an organization are received. Further, a purpose for each of the multiple applications associated with the organization is derived. Furthermore, consents of data subjects are captured for the derived purpose of each of the multiple application in a data subject preference master. Also, reconciliation of the data subject preference master and data subjects' data available in the organization is performed to determine consent lacking information.

System and method for consent centric data compliance checking

A device may select an enterprise content management (ECM) system for monitoring. The ECM system may include a set of subsystems. The device may monitor the set of subsystems of the ECM system based on selecting the ECM system for monitoring. The device may perform a set of health checks on the set of subsystems based on monitoring the set of subsystems. The set of health checks may include a validation of a set of network addresses associated with the set of subsystems, an analysis of a set of log files associated with the set of subsystems, and a determination of a set of metrics associated with the set of subsystems. The device may generate a health check report based on the set of health checks. The device may provide the health check report.

System monitoring device

An approach is provided in which a risk assessment is performed that accesses the risk to a user of an information handling system due to the user's link to a social network contact. Risky action values is received with the values corresponding to the social network contact. A risk level is calculated with the risk level corresponding to one or more of the risky action values. A preventative security action is then performed based on the calculated risk level. In another embodiment, an approach is provided in which the potential risks posed by a user are transmitted to the user's social network contacts. In this approach, potentially risky actions that are performed by the user are detected. Risky action values are identified that correspond to the detected potentially risky actions. The risky action values are then transmitted to the user's social network contacts over a computer network.

Assessing social risk due to exposure from linked contacts

Embodiments of the present invention relate to a method, program product, and system for managing the percentage of unpopulated cells in a multidimensional data structure during the servicing of multidimensional analytical queries. In an embodiment, a multidimensional data structure is stored in a memory location of a computing device, wherein the multidimensional data structure includes a dimension that is a subset of a plurality of dimensions included in a relational database. The computing device determines a frequency of utilization of a dimension to service a multidimensional query request. The computing device combines the dimension with the multidimensional data structure responsive to the frequency of utilization.

Managing sparsity in a multidimensional data structure

Managing sparsity in an multidimensional data structure

An approach is provided in receiving risk feedback from a social network. Feedback transmissions are received by a user's system with each of the feedback transmissions being received over a computer network from a social network contact. The received feedback transmissions are analyzed and, based on the analysis, a risky action that was performed by the user is identified. The user performs a risk avoidance measure to counteract the identified risky action. In one embodiment, the risk avoidance measure is reported back to the user's contacts.

Receiving security risk feedback from linked contacts due to a user's system actions and behaviors

Formulating an integrated disaster recovery (DR) plan based upon a plurality of DR requirements for an application by receiving a first set of inputs identifying one or more entity types for which the plan is to be formulated, such as an enterprise, one or more sites of the enterprise, the application, or a particular data type for the application. At least one data container representing a subset of data for an application is identified. A second set of inputs is received identifying at least one disaster type for which the plan is to be formulated. A third set of inputs is received identifying a DR requirement for the application as a category of DR Quality of Service (QoS) class to be applied to the disaster type. A composition model is generated specifying one or more respective DR QoS parameters as a function of a corresponding set of one or more QoS parameters representative of a replication technology solution. The replication technology solution encompasses a plurality of storage stack levels. A solution template library is generated for mapping the application to each of a plurality of candidate replication technology solutions. The template library is used to select a DR plan in the form of a replication technology solution for the application.

Methods, systems, and computer program products for disaster recovery planning

A policy for a computer system is transformed into a plurality of sub-policies, at least one synchronization step, and a final action. The sub-policies are distributed to corresponding sub-components in the computer system. The sub-policies are evaluated, wherein each sub-component evaluates its corresponding one or more sub-policies as other sub-components evaluate their corresponding one or more sub-policies. The sub-policies are synchronized by using the at least one synchronization step. The final action is performed in response to synchronizing the sub-policies. The computer system can be singular or distributed.

Concurrent evaluation of policies with synchronization

A method and system for method for replicating object consisting of creating a group of objects at a first location; transmitting the group of objects from a first location to a second location over a network coupling the first location to the second location, such that the number of transmissions is minimized receiving the group of objects at the second location; and storing the group of objects at the second location. The objects are preferably data objects and are collated into group based on a probability score is computed for each data object centered on an access pattern. Advantages include minimizing the number of transmission of the group of objects thereby reducing network traffic and failure of operation during replication of the objects.

Method and system for replicating objects

Provided are methods, apparatus arid computer programs for scheduling storage input and/or output (I/O) requests. A method for scheduling storage access requests determines a request processing sequence calculated to maximize SLA-based revenues achievable from processing a number of requests. A storage controller includes a scheduler which implements a revenue-based scheduling function to determine a revenue-maximizing processing sequence, and then assigns storage access requests to locations in a queue corresponding to the determined sequence. In an on-line mode, the scheduler can adapt to additional received requests, evaluating the revenue function for the additional requests and modifying the schedule if required. The method may include analyzing a request stream to predict requests that are likely to be received in the near future, and taking account of the predicted requests when determining a processing schedule.

Methods, apparatus and computer programs for scheduling storage requests

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New Delhi, India

Rohit Jain