International Business Machines Corporation

Dagan Gilat

Segev Eliezer Wasserkrug

Ariel Landau

Uri Shani

Sergey Krutyolkin

David Harold Berk

Joel Arditi

Gal A Shachor

Sergey Zeltyn

Pnina A Vortman

Michael Masin

Asaf Adi

Opher Etzion

Mike A Marin

Amit Fisher

Guy Sharon

Aviad Sela

Natalia Razinkov

Sarel Aiber

A novel and useful system and method of decentralized decision-making for real-time scheduling in a multi-process environment. For each process step and/or resource capable of processing a particular step, a service index is calculated. The calculation takes into account several measures, such as business level measures, operational measures and employee level measure. The decision of which process step a resource should next work on or what step to assign to a resource is based on the service index calculation and, optionally, other production factors. In one embodiment, the resource is assigned the process step with the maximal service index. Alternatively, when a resource becomes available, all process steps the resource is capable of processing are presented in order of descending service index. The resource then selects which process step to work on next.

Resource optimization for real-time task assignment in multi-process environments

A data processing method is provided. The method comprises collecting a stream of data records received from one or more data sources connected in a communications network; dividing the stream of data records into sets of data records for parallel processing by a plurality of concurrently running tasks, wherein a first task loads a persistent index associated with a first set of data records into memory to generate an in-memory version of the first persistent index for the first set of data records; and identifying duplicate and non-duplicate data records in the first set of data records, based on searching the in-memory version of the first persistent index.

Duplicate filtering in a data processing environment

Device, system, and method of collaborative distribution of digital merchandise. For example, an apparatus for collaborative distribution of Digital Merchandise Items (DMIs) includes: a first computing device having an agent module to receive a command of a first user to purchase a DMI from a second user, to provide information to process a first electronic payment from the first user to the second user, to receive the DMI from a second computing device of the second user, to receive a confirmation that a second electronic payment was made from a third user to the first user, to transfer a copy of the DMI from the first computing device to a third computing device of the third user, to calculate a first portion of the second electronic payment to be maintained by the first user, to calculate a second portion of the second electronic payment to be transferred to the second user, and to provide information to process an electronic payment of the second portion from the first user to the second user.

Device, system, and method of collaborative distribution of digital merchandise

A data processing method is provided. The method comprises collecting a stream of data records from one or more devices in a network; loading one or more persistent indexes associated with the stream of data records into memory; identifying duplicate data records in the stream of data records using the in-memory indexes; and updating a repository such that the duplicate data records are not stored in the repository or managed differently than non-duplicate data records.

A method and system for ADI (Active Dependency Integration) provides an information and execution model for the description of enterprise systems, solutions and services. It supports the modeling of various entities and business components (e.g. event, disk, application, activity, business process), the information that is associated with them (i.e. schema), and the semantic relationships among them (e.g. dependency between a business component and other business components and events). The ADI execution model monitors and manages business components and the relationships among them. It automatically updates business components information in response to events occurrences and constraints violations, and propagates changes in business components to other business components according to the dependency model.

Method and system for active monitoring of dependency models

A method for simulating a computer system includes defining a set of building blocks including models of components of the computer system. The set of building blocks is interconnected to produce a topological model of the computer system. A client transaction model is derived based on historical data, for generating simulated client requests to be processed by the topological model. A resource requirement model is produced based on the topological model and on the historical data, the resource requirement model simulating a resource utilization of the components of the computer system responsively to the generated client requests. A performance metric of the computer system is estimated by simulating the computer system using the simulated client requests and the resource requirement model.

Automatic generation of hybrid performance models

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Haifa, Israel

Dagan Gilat