International Business Machines Corporation

Alexander Kofman

Daniel Christopher Berg

Tamar Eilam

Michael H Kalantar

Gilad Mordechai Saadoun

Jonathan Bnayahu

Fabio A Oliveira

Florian Rosenberg

Asaf Adi

Dinakaran B Joseph

Matt Richard Hogstrom

Harm Sluiman

Artem Barger

William Carlisle Arnold

Tova Roth

Edward Charles Snible

Alexander V Konstantinou

Avi Yaeli

Jose I Ortiz

Ruth Edith Willenborg

Mordechai Nisenson

Corville O Allen

Aharon Abadi

Yacov Manevich

Peter Bak

Dany Moshkovich

Tali Yatzkar-Haham

Guy Sharon

Dolev Dotan

Fabiana Fournier

Pratul Gupta

Sarit Arcushin

Inna Skarbovsky

Per Johan Kroll

Disclosed herein are methods and systems for executing verifiable computation modules to process private data at private data owner platform, comprising obtaining a computation module having a unique identifier recorded in a distributed ledger controlled by a plurality of computing nodes, generating a key pair comprising a signing key and a verification key derived from the signing key, recording, in the distributed ledger, an execution record associating an execution instance of the computation module with the verification key, initiating the execution instance of the computation module to process a private dataset incorporated with the signing key. outputting a computation outcome, computing an execution result signature for the execution instance based on the unique identifier and the private data and the signing key, and recording the execution result signature in the distributed ledger to enable verification of the execution instance.

Verifiable privacy preserving computation

A processor may assign an indicator to each participant in a blockchain network. The indicator may respectively indicate a role of each participant. The processor may transform the indicator of each participant into respective scores. The respective scores may be directly associated with the role of each participant. The processor may aggregate the respective scores into an endorsement score. The processor may determine if the endorsement score exceeds an endorsement threshold.

Score based endorsement in a blockchain network

A computer-implemented method, computerized apparatus and computer program product, the method comprising: receiving a latency constraint on a Complex Event Processing (CEP) computation; monitoring progress of the CEP computation to determine a risk of violating the latency constraint; and, responsive to determining that a risk of violating the latency constraint exists, outputting at least one possible result of the CEP computation.

Method and system for complex event processing with latency constraints

A method for executing an event processing application in a multi-platform environment which includes a first computing platform and a second computing platform. The event processing application comprises a network of a plurality of processing rules, each of which, when executed by a computing platform, is configured to process incoming events and output outgoing events. The method comprises automatically identifying one or more processing rules comprised by the event processing application that are restricted to be executed in the first computing platform. The automatic identification comprises analyzing each rule in the plurality of processing rules to determine whether the rule is configured to perform a restricted activity. The method further comprises executing the plurality of processing rules in the multi-platform environment, some of which are executed in the first computing platform and some are executed in the second computing platform.

Multi platform based event processing

Various embodiments create a cross-configuration software module for cross-configuring software entities. In one embodiment, a first set of requirements and at least a second set of requirements are obtained. Each of the first and second set of requirements identify at least one of a set of software entities and a set of hardware components required to be present on at least one system including software entities to be cross-configured. At least one set of operations is obtained. The set of operations includes at least one executable instruction that configures a first software entity with a second software entity. A first configuration definition is generated including at least the first set of requirements and the at least one set of operations. A second configuration definition is generated including at least the second set of requirements. The first and second configuration definitions are stored within a cross-configuration software module.

Designing and cross-configuring software

A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Semantically rich composable software image bundles

A computerized method for generating monitoring rules, comprising: presenting to a user a spatio-temporal data indicative of a plurality of spatio-temporal attributes of a plurality of image objects in a space during a period; selecting, by a user, at least one of a spatial pattern and a temporal pattern represented in said spatio-temporal data; analyzing said at least one of a spatial pattern and a temporal pattern to identify at least one of a spatial related characteristic of at least some of said plurality of image objects and a temporal related characteristic of at least some of said plurality of image objects; automatically generating at least one monitoring rule to track an occurrence of said at least one of a location related characteristic and a temporal related characteristic.

Visual rules for decision management

A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Designing and building virtual images using semantically rich composable software image bundles

A practice selection method is provided. The method comprises recording first information describing one or more characteristics of a first project in at least one storage medium; determining whether a first practice is likely to have a successful impact on the first project based on the first information; and suggesting the first practice, in response to determining that the first practice is likely to have a successful impact on the first project. The first information may comprise subjective and objective information and may also be used to select a second practice for a second project.

Adaptive project based practice selection schemes in a computing environment

Growing community of inventors

Haifa, Israel

Alexander Kofman