International Business Machines Corporation

Jun-Jang Jeng

Hung-Yang Chang

Santhosh Babu Kumaran

Christian Alexander Lang

Jen-Yao Chung

Hui Lei

Liangzhao Zeng

Liang-Jie Zhang

Ioana Roxana Stanoi

Haifei Li

Pawan Raghunath Chowdhary

Lev Kozakov

Youssef Drissi

Shyh-Kwei Chen

Shubir Kapoor

Fenno F Heath, Iii

David Leslie Cohn

David B Flaxer

Prabir Nandi

Haiyang Wang, Legal Representative

Moon Jung Kim

Roman Vaculin

Juhnyoung Lee

Yurdaer Nezihi Doganata

Moon Ju Kim

Mari Abe Fukuda

Rong Liu

Frederick Y Wu

Tian-Jy Chao

Anil Nigam

Teruo Koyanagi

Yiming Ye

Tong-Haing Fin

Josef Schiefer

Henry C Chang

Rama Kalyani Tirumala Akkiraju

Juan Leon-Rodriquez

Qun Zhou

Pawan R Chowdbary

Pooja Yadav

Chian-Rou Shieh

Zhe Shan

Yohsuke Ozawu

A model-driven and QoS-aware infrastructure facilitates the scalable composition of Web services in highly dynamic environments. An exception management framework supports two modes of exception management for business processes, providing a novel policy-driven approach to exception management implemented in the system infrastructure. Exception management is implemented in the system infrastructure, with exception handling policies supplied by individual business processes. Using the exception management framework, developers define exception policies in a declarative manner. Before a business process is executed, the service composition middleware integrates the exception policies with normal business logic to generate a complete process schema. This policy driven-approach can significantly reduce the development time of business processes through its separation of the development of the business logic and the exception handling policies.

Apparatus and method for policy-driven business process exception handling

Meta-Rules are a special set of business rules whose purpose is to enable business rules selection and subsequent rule invocation by a business rules manager. Contained within a Meta-Rule are business policy and other information that enables the selection of a business rule used by a business application. Meta-rules allow the system to dynamically select and identify specific business rules to be executed within a given business application. By enabling a higher level of abstraction, and relying on rules to resolve specific business rule selection and invocations, Meta-rules further separate the binding of business knowledge and practice from application programming logic. The application programmer is freed from having specific knowledge of the business rule; all that is required is an assertion that a rule is to be used.

Method and apparatus for using meta-rules to support dynamic rule-based business systems

The techniques provided herein include obtaining a model of an enterprise operation that specifies initiation and one or more evolution milestones of one or more business entities, formulating one or more performance metrics for the enterprise operation, wherein the one or more performance metrics are calculated from the one or more business entities, the one or more evolution milestones, and one or more relevant external events, and using the one or more business entities and one or more performance metrics to automatically create an executable performance monitoring model for the enterprise operation, wherein the executable performance monitoring model processes data in the one or more business entities, the one or more evolution milestones, and the one or more relevant external events to compute the one or more performance metrics for the enterprise operation.

Monitoring enterprise performance

An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop includes nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time. The beginning or sensing element of the loop is triggered by a token (representing a business event from a business process). The ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle.

Business performance management (BPM) system and method having a physical star architecture, data processing rings and BPM loops

An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop is defined as a set of nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time, where the beginning or sensing element of the loop is triggered by a token (representing a business event from a business process) and the ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle. On demand business activity management of larger aggregates of business entities (i.e. enterprises and value chains) is achieved by extending this architecture by building upon the BPM loops of the component entities to form a BPM net, adding nodes as necessary. This architecture, system and method can be implemented at multiple levels of granularity from operational or tactical business activities to enterprise wide strategic activities.

Method and apparatus of on demand business activity management using business performance management loops

A system, method, and computer readable medium for reducing message flow on a message bus are disclosed. The method includes determining if at least one logical operator in a plurality of logical operators requires processing on a given physical processing node in a group of physical nodes. The logical operator is pinned to the given physical processing node. The pinning prevents any subsequent reassignment of the logical operator to another physical processing node. Each logical operator in the plurality of logical operators is assigned to an initial physical processing node in the group of physical processing nodes on a message bus. A determination is made as to whether at least one logical operating in the plurality of logical operators needs to be reassigned to a different physical processing node. The at least one logical operator is reassigned to the different physical processing node.

Reduction of message flow between bus-connected consumers and producers

A system, method, and computer readable medium for reducing message flow on a message bus are disclosed. The method includes determining if at least one logical operator in a plurality of logical operators requires processing on a given physical processing node in a group of physical nodes. In response to determining that the logical operator requires processing on the given physical processing node, the logical operator is pinned to the given physical processing node. Each logical operator in the plurality of logical operators is assigned to an initial physical processing node in the group of physical processing nodes on a message bus.

Systems, methods and computer products for generating calculation context classes from a relationship between structured data and a calculation procedure, the context classes having parent-child relationships. Exemplary embodiments include a method including searching the calculation procedure for a first data definition, generating a first context from a first scope applied to the first data definition, tracing back the calculation procedure to obtain a second data definition for calculating the first data definition and to which the first scope is applied, copying the calculation procedure into the first context until the second data definition is obtained, obtaining a second scope applied to the second data definition, obtaining a second context generated from the second scope, determining an existence of an order comparison of the first scope with the second scope and obtaining order from the structured data.

Systems, methods and computer products for a monitoring context generator

A method, information processing system, and computer readable storage medium manage and predict profit leakage. A dynamic deduction space is created that includes a plurality of dimensions associated with historical deduction data and profit leakage information associated with a combination of two or more of the dimensions. Information associated with an open deduction is received. A dimension set in the deduction space is identified that corresponds to the open deduction. A profit leakage classification is assigned to the open deduction based on profit leakage information associated with the dimension set.

System and method for predicting profit leakage

Systems and methods for monitoring and controlling business level SLAs (Service level Agreements), and more particularly, systems and method for monitoring and controlling business level SLAs using probe points, KPIs (Key Performance Indicators) and business commitments. An XML (extensible Markup Language)-based specification referred to as BPCL (Business Process Commitment Language) is used to describe business commitments. BPCL specifications are used by a business process management (BPM) system to configure, monitor, and control business processes based on business commitments. Business Commitments and BPCL provide a path toward model-based management for dynamic e-business solutions.

Systems and methods for monitoring and controlling business level service level agreements

An enterprise system includes a plurality of artifacts (e.g., persons, objects, databases, autonomous elements, intelligent agents, information systems, etc), and a smart distance (e.g., a distance which may optimize the performance of the enterprise system) between the plurality of artifacts.

Enterprise system having a smart distance among artifacts, and apparatus and method for providing the smart distance among the artifacts

A hybrid approach for capturing meta data about Business Processing Monitoring (BPM) artifacts is based on a combination of a relational meta data model and a semantic net. Meta data about metrics and situations and their dimensional context are first captured in the method. Then, relational meta data are used to describe a generic data schema for metrics, situations and their dimensional context. The meta data from semantic nets are used to extend the meta data definitions. Data from a data warehouse are searched and managed with the schema described and managed with the relational and semantic net meta data.

Adaptive data warehouse meta model method

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Armonk, NY, United States of America

Jun-Jang Jeng