Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/375663.375759acmconferencesArticle/Chapter ViewAbstractPublication PagesmodConference Proceedingsconference-collections
Article

Monitoring business processes through event correlation based on dependency model

Published: 01 May 2001 Publication History

Abstract

Events are at the core of reactive and proactive applications, which have become popular in many domains.
This demo shows the monitoring of incoming events as a means to detect possible problems in the course of business processes using a dependency model.
Contemporary modeling tools lack the capability to express the event semantics and relationships to other entities. This capability is useful when the events are based on a dependency model among business processes, applications and resources. The ability to express an event by employing a general dependency model, an to use it through a designated event correlation monitoring tool, enables the accomplishment of tasks such as impact analysis and business processes monitoring, including prediction of violation of constraints (such as: service level agreements).
This demonstrated tool provides the system designer with the ability to define and describe events and their relationships to other events, objects and tasks. The model employs various conditional dependencies that are specific to the event domain. The demo shows how systems (business processes) are monitored using the dependency / event model, by applying rules using an event correlation engine with strong expressive power.
This demo proposal describes the generic application development tool, the middleware architecture and framework and the demo.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGMOD '01: Proceedings of the 2001 ACM SIGMOD international conference on Management of data
May 2001
630 pages
ISBN:1581133324
DOI:10.1145/375663
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 2001

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Conference

SIGMOD/PODS01
Sponsor:

Acceptance Rates

SIGMOD '01 Paper Acceptance Rate 44 of 293 submissions, 15%;
Overall Acceptance Rate 785 of 4,003 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Feb 2025

Other Metrics

Citations

View Options

View options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media