International Business Machines Corporation

Shyh-Kwei Chen

Kun-Lung Wu

Philip Shi-lung Yu

Pawan Raghunath Chowdhary

Hung-Yang Chang

Jen-Yao Chung

Ming-Ling Lo

Arun Hampapur

Xuan Liu

Liangzhao Zeng

Ajay Ashok Deshpande

Saurabh Gupta

Ali Koc

Brian Leo Quanz

Michail Vlachos

Christopher Scott Milite

Yingjie Li

Chek Keong Tan

Dahai Xing

Jun-Jang Jeng

Mitchell Adam Cohen

Xiaobo Zheng

Shiwa S Fu

Dingding Lin

Vibby Gottemukkala

Florian Pinel

Philip Shilung Yu

Biplav Srivastava

Juhnyoung Lee

Hui Lei

Rakesh Mohan

Themistoklis Palpanas

Maharshi H Desai

Jih-Shyr Yih

Michael J Ding

Ajay Satsangi

Mark (Gee-Gwo) Mei

A method for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics&#x2014;to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.

Tracking business performance impact of optimized sourcing algorithms

A system, method and computer program product for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics&#x2014;to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.

Range query techniques are disclosed for use in accordance with data stream processing systems. A technique is provided for incrementally processing continual range queries against moving objects. This technique is applicable for location-aware services and applications. A technique for evaluating one or more continual range queries over one or more moving objects comprises maintaining a query index with one or more containment-encoded virtual constructs associated with the one or more continual range queries over the one or more moving objects, and incrementally evaluating the one or more continual range queries using the query index.

Range query methods and apparatus

A method (and structure) for monitoring continual range queries against events includes decomposing each range query with one or more predefined virtual constructs, building a query index, and using the query index to match an event with the range queries.

System and method for monitoring events against continual range queries

A system, method, and framework resulting therefrom, for a model-driven dashboard for business performance management, which includes capturing business dashboard model requirements at a business model level by providing at least one user-customizable model for capturing functionality of a dashboard, and after the user defines the functionality of the dashboard using the at least one user-customizable model, automatically generating code for a deployable dashboard application.

System and method for model-driven dashboard for business performance management

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

Range query techniques are disclosed for use in accordance with data stream processing systems. In one aspect of the invention, a technique is provided for indexing continual range queries for use in data stream processing. For example, a technique for use in processing a data stream comprises obtaining at least one range query to be associated with the data stream, and building a range query index based on the at least one range query using one or more virtual constructs such that the query index is adaptive to one or more changes in a distribution of range query sizes. The step/operation of building the range query index may further comprise building the range query index such that the range query index accommodates one or more changes in query positions outside a monitoring area of the at least one range query. In another aspect of the invention, a technique is provided for incrementally processing continual range queries against moving objects. For example, a technique for evaluating one and more continual range queries over one and more moving objects comprises maintaining a query index with one and more containment-encoded virtual constructs associated with the one and more continual range queries over the one and more moving objects, and incrementally evaluating the one or more continual range queries using the query index.

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

Deploying artifacts and tools in cloud computing environment for provisioning packaged software applications generates a user interface code automatically and dynamically using information from at least structural data representations of cloud computing environment and base configuration requirements for running one or more packaged software applications in the cloud computing environment. In one aspect, the automatically generated code may be augmented using one or more library codes and auxiliary files. Specific configuration requirements are further obtained by running the automatically generated user interface code. One or more components to deploy in the cloud computing environment are determined that meet the base configuration requirements and the specific configuration requirements, by analyzing the structural data representations.

Deploying artifacts for packaged software application in cloud computing environment

A mapping language, insertable into a DTD, allows automatic mapping from data sources into XML. A mapping results from the establishment of a correspondence between entities in a data source on the one hand and lists and scalars on the other hand. The language maps the lists and scalars to XML elements and attributes. The mapping language includes two constructs: the binding specification and the value specification. The value specification associates with a value or choice declaration. The binding specification includes at least one variable/expression pair. The constructs are insertable into a DTD to create an annotated DTD.

Converting between data sources and XML

Techniques are provided for performing structural joins for answering containment queries. Such inventive techniques may be used to perform efficient structural joins of two interval lists which are neither sorted nor pre-indexed. For example, in an illustrative aspect of the invention, a technique for performing structural joins of two element sets of a tree-structured document, wherein one of the two element sets is an ancestor element set and the other of the two element sets is a descendant element set, and further wherein each element is represented as an interval representing a start position and an end position of the element in the document, comprises the following steps/operations. An index is dynamically built for the ancestor element set. Then, one or more structural joins are performed by searching the index with the interval start position of each element in the descendant element set.

Methods and apparatus for performing structural joins for answering containment queries

Systems and methods for the identification of correlated burst events among two or more data streams, given one or more specific query time spans are disclosed. Also broadly contemplated is the act of finding, from one or more data streams, those streams that have correlated burst events with another given data stream within a time span.

Systems and methods for correlation of burst events among data streams

A system and method for developing and enabling model-driven extensible Markup Language (XML) transformation to XML Metadata Interchange (XMI) format incorporate a strong built-in validation capability. A platform independent framework applies multiple passes of transformation, where each pass performs specific operations on internal models. Different source models are then merged into a target model.

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Chappaqua, NY, United States of America

Shyh-Kwei Chen