International Business Machines Corporation

Mlb Advanced Media, L.p.

Robert Engel

Dean Hildebrand

Nagapramod S Mandagere

Heiko Hary Ludwig

Eric Kevin Butler

Aly Megahed

Mohamed Mohamed

Yuya Jeremy Ong

Nitin Ramchandani

Amit Suresh Warke

Nathalie Baracaldo Angel

Alexander M Keller

Dilip Dinkar Kandlur

Bryant R Chen

German H Flores

Cory Schwartz

Ashish Mehra

Tsipora P Barzilai

Shashank Rajamoni

A method of using a computing device to compare performance of multiple algorithms. The method includes receiving, by a computing device, multiple algorithms to assess. The computing device further receives a total amount of resources to allocate to the multiple algorithms. The computing device additionally assigns a fair share of the total amount of resources to each of the multiple algorithms. The computing device still further executes each of the multiple algorithms using the assigned fair share of the total amount of resources. The computing device additionally compares the performance of each of the multiple based on at least one of multiple hardware relative utility metrics describing a hardware relative utility of any given resource allocation for each of the multiple algorithms.

Fair simultaneous comparison of parallel machine learning models

Techniques for augmenting data visualizations based on user interactions to enhance user experience are provided. In one aspect, a method for providing real-time recommendations to a user includes: capturing user interactions with a data visualization, wherein the user interactions include images captured as the user interacts with the data visualization; building stacks of the user interactions, wherein the stacks of the user interactions are built from sequences of the user interactions captured over time; generating embeddings for the stacks of the user interactions; finding clusters of embeddings having similar properties; and making the real-time recommendations to the user based on the clusters of embeddings having the similar properties.

Interaction-based visualization to augment user experience

According to one embodiment, a method, computer system, and computer program product for preventing statistical inference attacks is provided. The present invention may include splitting records into items, and classifying these items into shared items and private items; grouping the private items according to privacy and confidentiality requirements; restricting access of the private items to stakeholders based on the confidentiality requirements using cryptographic keys; generating and encrypting one or more placeholders for both existent and non-existent stakeholders; storing private items in private storage as indicated by links; creating shared records comprising links, placeholders, and shared items; adding integrity signatures to the shared records; and publishing the shared records to a shared medium.

Preventing statistical inference attacks on data that is shared among multiple stakeholders with disjoint access privileges

A method, computer system, and computer program product are provided. A set of classifiers are applied to metric definitions of an electronic contract between computing devices of a service provider and a service consumer. Each classifier includes a selector pattern and a set of variable declarations. Performance data of the service provider computing device are filtered according to the selector pattern of the each classifier. One or more algebraic expressions of the metric definitions are evaluated in accordance with the each classifier and the filtered performance data to determine compliance of the service provider computing device with the electronic contract. Evaluation results indicating whether the service provider computing device is in compliance with the electronic contract are captured and reported.

Enforcing electronic service contracts between compu'iing devices

Embodiments relate to a computer system, computer program product, and method to support context aware container volume management. Two or more containers are operatively coupled to a shared operating system instance. Workflow and system topologies directed at the containers are modeled. The workflow models transition states of containers. The container topology model identifies relationships between two more containers. The storage topology model identifies a relationship and dependency of storage volumes. The models are leveraged to assess and autonomously determine functional container storage requirements. Assignment(s) of an application container to a volume is optimized and selectively attached responsive to the autonomous determination.

Context aware container management

An embodiment of the invention may include a method, computer program product and system for data storage management. The embodiment may include receiving a request from a second container runtime for access to a first container runtime volume by the second container runtime. The embodiment may include determining whether the first container runtime volume exists within a shared unified volume listing. Based on determining that the first container runtime volume exists within the shared unified volume listing, the embodiment may include transforming volume information of the first container runtime volume from a unified volume listing schema to a second container runtime volume listing schema. The embodiment may include returning the volume information of the first container runtime volume to the second container runtime.

Scale-out container volume service for multiple frameworks

Systems and methods of transmitting data packets in a live data feed are provided. A live data processing system receives a plurality of tracking data packets that are obtained using radar devices and image capturing devices. The live data processing system determines that a particular tracking data packet is missing from the plurality of tracking data packets based on a predetermined order for receiving the plurality of tracking data packets. The live data processing system queues the plurality of tracking data packets. The live data processing system generates a plurality of message packets based on the plurality of tracking data packets and the particular tracking data packet that is received after receiving the plurality of tracking data packets. The live data processing system transmits, in the live data feed, the plurality of message packets in the predetermined order to a plurality of devices for display.

System and method for real time transmission and display of tracking data

A computer connected to one or more networks through appropriate network interfaces is used to classify, manipulate, and/or control communications, e.g., packets sent and/or received over the network by one or more applications executing in the computer. Each application is connected to the network through one or more sockets to enable this communication. The computer also comprises one or more rule sets of one or more rules. A socket set of one or more of the sockets is associated with only one of the rule sets. The rules in the rule set are used to control one or more of the packets communicated by the applications communicating over the socket(s) associated with the respective rule set. Rules can be added to the rule set, deleted from the rule set, or modified in order to classify, manipulate, and/or control the communication of the packets, e.g. to control the rate at which the packets are sent or to provide certain security functions.

Growing community of inventors

San Francisco, CA, United States of America

Robert Engel