公开(公告)号：US12265837B2

公开(公告)日：2025-04-01

申请号：US18302237

申请日：2023-04-18

Applicant: International Business Machines Corporation

Inventor： Nirmit V Desai ,  Jae-Wook Ahn ,  Tova Roth ,  Dinesh C. Verma ,  Douglas M. Freimuth ,  Seraphin Bernard Calo ,  Anshu Kak ,  Steven A Waite ,  Roger Hollander

IPC: G06F9/455 ,  G06N3/02 ,  G06N3/08

Abstract: Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log template. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and a particular semantic state of the original application.

公开(公告)号：US20240403099A1

公开(公告)日：2024-12-05

申请号：US18326195

申请日：2023-05-31

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Dinesh C. Verma ,  Mudhakar Srivatsa ,  Gerald Coon ,  SATISHKUMAR SADAGOPAN ,  Utpal Mangla ,  Mathews Thomas

IPC: G06F9/455

Abstract: An embodiment for improved estimating of end-user performance of cloud-based services. The embodiment may collect, for a target cloud-based service, a first dataset including network level metrics, and a second dataset including end-user performance data from one or more monitoring services. The embodiment may combine the collected first dataset and second dataset to generate a curated training dataset. The embodiment may train a machine learning prediction model using the curated training dataset. The embodiment may predict and estimate, using the trained machine learning prediction model, the end-user performance of the target cloud-based service for any target end-user.

公开(公告)号：US20240202552A1

公开(公告)日：2024-06-20

申请号：US18083300

申请日：2022-12-16

Applicant: International Business Machines Corporation

Inventor： Mudhakar Srivatsa ,  Satishkumar Sadagopan ,  Utpal Mangla ,  Dinesh C. Verma ,  Gerald Coon ,  Mathews Thomas

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A computer-implemented method, according to one embodiment, includes determining a plurality of downstream task models of a foundation model, and arranging the downstream task models into a logical tree structure. Each node of the logical tree structure represents a sequence of layers of an associated one of the downstream task models. In response to a determination that a request for inferencing on a target model has resulted in a cache miss occurring, the logical tree structure is used to identify an inferencing server that satisfies at least a first predetermined prerequisite for fulfilling the inferencing request. The method further includes causing the identified inferencing server to fulfill the inferencing request. A computer program product, according to one embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

公开(公告)号：US11968248B2

公开(公告)日：2024-04-23

申请号：US17968957

申请日：2022-10-19

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Bong Jun Ko ,  Theodoros Salonidis ,  Rahul Urgaonkar ,  Dinesh C. Verma

IPC: H04L67/10 ,  G06F9/50 ,  G06F16/951

CPC classification number: H04L67/10 ,  G06F9/5044 ,  G06F16/951

Abstract: Methods are provided. A method includes announcing to a network meta information describing each of a plurality of distributed data sources. The method further includes propagating the meta information amongst routing elements in the network. The method also includes inserting into the network a description of distributed datasets that match a set of requirements of the analytics task. The method additionally includes delivering, by the routing elements, a copy of the analytics task to locations of respective ones of the plurality of distributed data sources that include the distributed datasets that match the set of requirements of the analytics task.

公开(公告)号：US20240129887A1

公开(公告)日：2024-04-18

申请号：US17968642

申请日：2022-10-18

Applicant: International Business Machines Corporation

Inventor： Utpal Mangla ,  Saurabh Agrawal ,  Dinesh C. Verma ,  Mathews Thomas ,  Sagar Tayal

IPC: H04W64/00 ,  H04B7/0413 ,  H04B17/336 ,  H04W16/28

CPC classification number: H04W64/006 ,  H04B7/0413 ,  H04B17/336 ,  H04W16/28

Abstract: A computer-implemented method for grouping devices in a massive multiple-input and multiple-output (MIMO)-based cellular network, in accordance with one embodiment, includes determining movement states of end devices in a cell of the massive MIMO-based cellular network, estimating payload requirements of the end devices, and grouping the end devices in a group based on the determined movement states and the estimated payload requirements.

公开(公告)号：US20230418852A1

公开(公告)日：2023-12-28

申请号：US17846115

申请日：2022-06-22

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： MUDHAKAR SRIVATSA ,  Dinesh C. Verma ,  SATISH SADAGOPAN ,  Mathews Thomas ,  Utpal Mangla

IPC: G06F16/332 ,  G06F40/30 ,  G06Q10/06

CPC classification number: G06F16/3329 ,  G06F40/30 ,  G06Q10/06393

Abstract: Disclosed are methods method, systems, and computer program products for automatic management of a data processing system (DPS). One embodiment of the method may comprise receiving, at a computer processor, operations data associated with a DPS; and generating, by a Question-Answer (QA) system executing on the computer processor, a Question sentence from the operations data. The method may further comprise sampling a window of the operations data, extracting a plurality of key performance indicators (KPI) from the operations data in the sampled window, and providing the plurality of KPI to the QA system.

公开(公告)号：US11803413B2

公开(公告)日：2023-10-31

申请号：US17110486

申请日：2020-12-03

Applicant: International Business Machines Corporation

Inventor： Dinesh C. Verma ,  Shahrokh Daijavad ,  Bijan Davari

IPC: G06F15/173 ,  G06F9/48 ,  G06F8/76 ,  H04L67/10 ,  H04L43/045 ,  H04L43/08 ,  H04L67/00

CPC classification number: G06F9/4856 ,  G06F8/76 ,  H04L43/045 ,  H04L43/08 ,  H04L67/10 ,  H04L67/34

Abstract: A set of network traffic among a plurality of legacy applications is monitored. From the set of network traffic, a communication graph is generated for the plurality. From the communication graph, a set of migratable applications within the plurality is identified. The set of migratable applications is migrated to a cloud edge layer, and a user is notified of the migration.

公开(公告)号：US11789798B2

公开(公告)日：2023-10-17

申请号：US17455561

申请日：2021-11-18

Applicant: International Business Machines Corporation

Inventor： Shrey Shrivastava ,  Jeffrey Willoughby ,  Shuxin Lin ,  Yuanchen Hu ,  Dinesh C. Verma

IPC: G06F11/00 ,  G06F11/07 ,  G06F11/26

CPC classification number: G06F11/0769 ,  G06F11/0721 ,  G06F11/26

Abstract: An apparatus includes circuitry configured to maintain a record of a plurality of owners and at least one test operation owned by an owner; prompt automatically the owner in response to a failure of the one test operation; maintain a log of actions taken on the one test operation, and provide availability to the log of actions; update an estimated time to completion, and notify a management entity of the updated estimated time to completion; mark and prioritize an order related to the one test operation, in response to the estimated time to completion being within a threshold of a delivery date; rank the marked order with other marked orders by a risk of not being able to meet the delivery date; and notify the owner of the ranking with an urgent message, in response to the marked order failing to meet the delivery date.

公开(公告)号：US20220188692A1

公开(公告)日：2022-06-16

申请号：US17121702

申请日：2020-12-14

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Supriyo Chakraborty ,  Ashish Verma ,  Dinesh C. Verma

IPC: G06N20/00

Abstract: A computer-implemented method of determining an agent data attribution and selection to perform a collaborative data-related task includes computing an agent data attribution score for each agent of the plurality of agents associated with the collaborative data-related task. A subset of the plurality of agents that participate in the collaborative data-related task is selected based on the agent data attribution score. An instruction is transmitted to the selected subset of the plurality of agents for each agent to conduct a respective portion of the collaborative data-related task.

公开(公告)号：US11269858B2

公开(公告)日：2022-03-08

申请号：US16364932

申请日：2019-03-26

Applicant: International Business Machines Corporation

Inventor： Dinesh C. Verma ,  Donna N. Dillenberger ,  Martin Oberhofer ,  Namik Hrle

IPC: G06F16/30 ,  G06F16/23 ,  H04L9/06 ,  G06F16/27

Abstract: An example operation may include one or more of determining data at a first node satisfies a condition, obtaining a pointer to a shared storage area for the data, controlling generation of a block including the pointer, and appending the block to a blockchain without the data, wherein the first node corresponds to first virtual node hosted by blockchain-as-a-service (Baas) provider and wherein the first virtual node receives the data from a network coupled to the Baas provider.