International Business Machines Corporation

Louis Degenaro

Arun Kwangil Iyengar

Isabelle Marie Rouvellou

James R Giles

James R Challenger

Rohit Wagle

Paul Reed

James Robert Harold Challenger

Achille Belly Fokoue-Nkoutche

Robert Filepp

Richard Pervin King

Gabriela Jacques Da Silva

Hoi Yeung Chan

Thomas Arthur Mikalsen

Mark Holmes Linehan

Judah M Diament

Edward Adam Epstein

Burn Lewin Lewis

David Lars Ehnebuske

Barbara Jane Alspach McKee

Samuel Monk Weber

Charles A Kerr, Jr

Arvind Rajpurohit

Henrique Andrade

Lei Gao

Abhishek Malvankar

Jian Yin

Adolfo Francisco Rodriguez

Isabelle Marie Catherine Rouvellou

Shawn William Lauzon

Saurabh Pujar

Jaroslaw Cwiklik

Jon Kendall Peterson

Dianne E Richards

Scott E Waldner

Kevin Paul Rasmus

A computer-implemented method, system and computer program product for sharing and utilizing healthcare data, by: providing one or more computer-implemented machine learning models for analyzing the healthcare data; and recording transactions involving the machine learning models using a blockchain as a distributed ledger that is shared, replicated and synchronized. Healthcare data is also used to train the machine learning models. The healthcare data comprises research data or patient data such as Electronic Medical Records (EMRs). A smart contract that is a computer-implemented protocol is used to facilitate, verify or enforce negotiation of the transactions involving the machine learning models or healthcare data.

System and method to share and utilize healthcare data

A distributable and serializable finite state machine and methods for using the distributable and serializable finite state machine are provided wherein finite state machine instance can be location-shifted, time-shifted or location-shift and time-shifted, for example by serializing and deserializing each instance. Each instance can be located-shifted between agents, and a persistent memory storage location is provided to facilitate both location-shifting and time-shifting. Finite state machine instances and the actions that make up each instance can be run in a distributed fashion among a plurality of agents.

Distributable serializable finite state machine

A system for processing analytics on a cluster of computing resources may receive a user request to process a Job, Service or Reservation, and may include an Orchestrator, Resource Manager, Process Manager, and one or more Agents and Job Drivers, which together deploy the Job onto one or more nodes in the cluster for parallelized processing of Jobs and their associated work items.

Distributed UIMA cluster computing (DUCC) facility

A method for managing distributed computer data stream acceleration devices is provided that utilizes distributed acceleration devices on nodes within the computing system to process inquiries by programs executing on the computing system. The available nodes and available acceleration devices in the computing system are identified. In addition, a plurality of virtual acceleration device definitions is created. Each virtual acceleration device definition includes attributes used to configure at least one of the plurality of identified acceleration devices. When an inquiry containing an identification of computing system resources to be used in processing the inquiry is received, at least one virtual acceleration device definition that is capable of configuring an acceleration device in accordance with the computing system resources identified by the inquiry is identified. That acceleration device is configured in accordance with the identified virtual acceleration device definition and is used to process the inquiry.

Distributed acceleration devices management for streams processing

A method, apparatus and programmed storage device for routing data through a communications network. More specifically, a programmable traffic manager is programmed with at least one application level directive and the data is routed through the network to one of the network nodes using the programmable traffic manager, which is programmed in accordance with the application level directive. In a particular example of this invention, a request from a client is routed by the programmable traffic manager to at least one a plurality of servers hosting an application, where the programmable traffic manager is routed in accordance with the application level directive.

Cooperative routing between traffic control device and multi-server application

Methods and systems are provided for unified job processing of interdependent heterogeneous tasks within a domain containing a plurality of nodes. Jobs containing components to be processed in the domain are submitted and are identified by type. A job control flow associated with the job type is identified and used to process the components of the job on various nodes within the domain. Multiple job control flows are handled simultaneously, and provisions are made for sharing common job components among jobs. The job control flow utilizes a finite state machine where a given instance of the finite state machine applies to a specific job type. The finite state machine can be expressed using extensible mark-up language schema.

Unified job processing of interdependent heterogeneous tasks using finite state machine job control flow based on identified job type

Plug-in configurable middleware is provided for managing distributed applications. The middleware includes at least one core runtime engine configured as a plurality of concurrent instantiations on one or more hosts within a distributed architecture. These hosts can represent separate nodes or a single node within the architecture. Each core runtime engine instance provides the minimum amount of functionality required to support the instantiation of one or more plug-ins within that core runtime engine instance. Each core runtime engine instance is in communication with other concurrent core runtime engine instances and can share the functionality of plug-in instances with the other core runtime engine instances, for example through the use of proxies. A plurality of personalities representing pre-defined functions is defined and one of more of these personalities is associated with each core runtime engine instance. A plurality of pre-defined plug-ins are defined and associated with the personalities.

Distributed pluggable middleware services

Improved load balancing techniques are disclosed. For example, in one illustrative aspect of the invention, a method of satisfying requests in a system comprised of a plurality of servers comprises the following steps. At least one load balancer is provided for routing requests to the plurality of servers. At the at least one load balancer, a request sent from a client is obtained. At the at least one load balancer, the request is examined. Costs of satisfying the request by at least two of the plurality of servers are estimated. The estimation is based on at least one of a number and a cost of at least one remote access for satisfying the request. The request is routed to a server of the plurality of servers with a low estimated cost of satisfying the request.

Systems and methods for content-aware load balancing

A method for cross-triggering transitions in independent finite state machines is provided. For a given plurality of finite state machine definitions having a plurality of states and a plurality of transitions among the states, two or more independent instances of the plurality of finite state machine definitions are created. In addition, associations between two or more of the independent finite state machine instances are identified. The method uses cross-triggering rules that identify a condition in a first one of the associated independent finite state machine instances that triggers a transition action in a second one of the associated independent finite state machine instances. Each cross-triggering rule is triggered upon an occurrence of the cross-triggering rule condition, and the transition action in the second associated independent finite state machine instance is performed in response to the triggering of the cross-triggering rule.

Rules-based cross-FSM transition triggering

Methods for serving data include maintaining an incomplete version of an object at a server and at least one fragment at the server. In response to a request for the object from a client, the incomplete version of the object, an identifier for a fragment comprising a portion of the objects and a position for the fragment within the object are sent to the client. After receiving the incomplete version of the object, the identifier, and the position, the client requests the fragment from the server using the identifier. The object is constructed by including the fragment in the incomplete version of the object in a location specified by the position.

Method and system for efficient fragment caching

A system and method for managing cachable entities (i.e., entities stored in a cache and/or entities which may be stored in a cache) in a data processing application. In one aspect, a method for managing cachable entities comprises the steps of analyzing program code to determine if there is at least one statement which affects a desirability of performing at least one cache transaction; and performing the at least one cache transaction if it is desired. In another aspect, a program analysis tool statically analyzes program code to locate points where object state changes occur, where objects are created and where objects are deleted, and then generates regularized dependencies at such points for and employing the dependencies to invalidate dependent cached queries. Query specific keys are generated to insert query results into and retrieve query results from a dependency managed cache. Regularized dependencies are generated at the object query points and are attached to query results inserted into a dependency managed cache, which facilitates consistency of query results from the dependency managed cache.

System and method for managing cachable entities

In one embodiment, a method comprises creating at least one individualized language resource, creating at least one individualized language rule referencing at least one of said individualized language resource, and transforming said at least one individualized language rule into computer executable format.

Methods and apparatus for business rules authoring and operation employing a customizable vocabulary

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White Plains, NY, United States of America

Louis Degenaro