公开(公告)号：GB2578981B

公开(公告)日：2021-04-21

申请号：GB202000528

申请日：2018-07-18

Applicant: IBM

Inventor： STEFAN RAVIZZA ,  TIM UWE SCHEIDELER ,  ERIK RUEGER ,  THORSTEN MUEHGE

IPC: G06F16/185

Abstract: A cognitive hierarchical storage-management system receives feedback describing users' satisfaction with the way that one or more prior data-access requests were serviced. The system uses this feedback to associate each previously requested data element's metadata and storage tier with a level of user satisfaction, and to optimize user satisfaction when the system is trained. As feedback continues to be received, the system uses machine-learning methods to identify how closely specific metadata patterns correlate with certain levels of user satisfaction and with certain storage tiers. The system then uses the resulting associations when determining whether to migrate data associated with a particular metadata pattern to a different tier. Data elements may be migrated between different tiers when two metadata sets share metadata values. A user's degree of satisfaction may be encoded as a metadata element that may be used to train a neural network of a machine-learning module. If detecting that two metadata sets share metadata values, the system determines whether to migrate data elements to different tiers.

公开(公告)号：GB2587762B

公开(公告)日：2021-10-06

申请号：GB202100941

申请日：2019-07-24

Applicant: IBM

Inventor： IVAN JAMES REEDMAN ,  TIM UWE SCHEIDELER

IPC: H04M1/725 ,  G06F1/28 ,  G06F21/55

Abstract: A method and system for determining a power consumption pattern for at least one application being executed on a computer is provided. The method comprises measuring a DC current and measuring a DC supply voltage provided to a data processing device, thereby creating a stream of time-stamped voltage value samples and current value samples. The method comprises further determining a product of the streams at identical times and converting the product into a real and an imaginary data stream using I/Q digital signal processing, combining these into a complex data stream, applying a signal processing demodulation step to the complex data stream, thereby generating a demodulated data stream, and extracting from the demodulated data stream at least one stream-based parameter signature, the at least one stream-based parameter signature representing the power consumption pattern of the at least one corresponding application being executed on the data processing device.

公开(公告)号：GB2584063B

公开(公告)日：2021-04-21

申请号：GB202014014

申请日：2019-02-12

Applicant: IBM

Inventor： STEFAN RAVIZZA ,  ANDREA GIOVANNINI ,  TIM UWE SCHEIDELER ,  FREDERIK FRANK FLÖTHER ,  FLORIAN GRAF ,  ERIK RUEGER

IPC: G06F21/60 ,  G06F21/62

Abstract: A computer-implemented method, system, and computer program product for dynamic access control to a node in a knowledge graph includes: structuring nodes of a knowledge graph into a plurality of hierarchically organized graph layers; assigning, to one or more users, an access right to a first node of the knowledge graph, the access right to the node selected from a plurality of access rights, where different types of users have different access rights; and assigning, to at least one user from the one or more users, an additional access right to a second node of the knowledge graph.

公开(公告)号：GB2584063A

公开(公告)日：2020-11-18

申请号：GB202014014

申请日：2019-02-12

Applicant: IBM

Inventor： STEFAN RAVIZZA ,  ANDREA GIOVANNINI ,  TIM UWE SCHEIDELER ,  FREDERIK FRANK FLÖTHER ,  FLORIAN GRAF ,  ERIK RUEGER

IPC: G06F21/60 ,  G06F21/62

Abstract: A computer-implemented method, system, and computer program product for dynamic access control to a node in a knowledge graph includes: structuring nodes of a knowledge graph into a plurality of hierarchically organized graph layers; assigning, to a user, an access right to a node of the knowledge graph, the access right to the node selected from a plurality of access rights; and changing the access right to the node dynamically, the changing based on at least one of a structure of the knowledge graph, an access history of the user to the node, and a parameter of the user indicative of a condition outside the knowledge graph.

公开(公告)号：GB2587762A

公开(公告)日：2021-04-07

申请号：GB202100941

申请日：2019-07-24

Applicant: IBM

Inventor： IVAN JAMES REEDMAN ,  TIM UWE SCHEIDELER

IPC: H04M1/725 ,  G06F1/28 ,  G06F21/55

Abstract: A method and system for determining a power consumption pattern for at least one application being executed on a computer is provided. The method comprises measuring a DC current and measuring a DC supply voltage provided to a data processing device, thereby creating a stream of time-stamped voltage value samples and current value samples. The method comprises further determining a product of the streams at identical times and converting the product into a real and an imaginary data stream using I/Q digital signal processing, combining these into a complex data stream, applying a signal processing demodulation step to the complex data stream, thereby generating a demodulated data stream, and extracting from the demodulated data stream at least one stream-based parameter signature, the at least one stream-based parameter signature representing the power consumption pattern of the at least one corresponding application being executed on the data processing device.

公开(公告)号：GB2581761A

公开(公告)日：2020-08-26

申请号：GB202009501

申请日：2018-11-23

Applicant: IBM

Inventor： TIM UWE SCHEIDELER ,  STEFAN RAVIZZA ,  ANDREA GIOVANNINI ,  AVDYL HAXHAJ ,  SIMON STREIT ,  FLORIAN GRAF

IPC: G06N5/02 ,  G06N20/00

Abstract: A computer program product, system, and method for building a knowledge graph may include receiving a plurality of new nodes, receiving a base knowledge graph having existing nodes selectively connected by existing edges, and superimposing the new nodes onto selected ones of the existing nodes of the base knowledge graph. The method may further include connecting the new nodes by creating a new edge with a new weight between at least two of the new nodes if corresponding existing nodes in the underlying base knowledge graph have a connection via zero or a predetermined maximum number of existing edges, wherein the new weight is determined based on the existing weights of the existing edges of connections between the corresponding existing nodes, and detaching the new nodes with the new edges from the base knowledge graph.

公开(公告)号：GB2579006A

公开(公告)日：2020-06-03

申请号：GB202003665

申请日：2018-08-21

Applicant: IBM

Inventor： ANDREA GIOVANNINI ,  STEFAN RAVIZZA ,  TIM UWE SCHEIDELER ,  FLORIAN GRAF

IPC: G06N5/04 ,  G06F16/2458

Abstract: A method includes receiving a first query by a computing device and assigning the first query to a plurality of cognitive engines, wherein each of the plurality of cognitive engines include different characteristics for processing data. The method also includes, responsive to receiving a response from each of the plurality of cognitive engines for the first query, comparing the received responses from the plurality of cognitive engines. The method also included responsive to determining a difference between a first response from a first cognitive engine and a second response from a second cognitive engine is above a predetermined threshold value, performing a response mediation process until the difference is below the predetermined threshold value.The method also includes selecting a first final response from the received responses for the first query and the second query and displaying the first final response to a user.

公开(公告)号：GB2578981A

公开(公告)日：2020-06-03

申请号：GB202000528

申请日：2018-07-18

Applicant: IBM

Inventor： STEFAN RAVIZZA ,  TIM UWE SCHEIDELER ,  ERIK RUEGER ,  THORSTEN MUEHGE

IPC: G06F16/00

Abstract: A cognitive hierarchical storage-management system receives feedback describing users' satisfaction with the way that prior data-access requests have been serviced. The system uses this feedback to associate each previously requested data element's metadata and storage tier with a level of user satisfaction. As feedback continues to be received, the system uses machine-learning methods to identify how closely specific metadata patterns correlate with certain levels of user satisfaction and with certain storage tiers. The system then uses these associations when determining whether it should migrate data associated with a particular metadata pattern to a different tier.