scholarly journals Tool Support for Distributed Workflow Management with Task Clustering

2021 ◽  
Vol 14 (2) ◽  
pp. 1
Author(s):  
Ayesh Weerasinghe ◽  
Kalana Wijethunga ◽  
Randika Jayasekara ◽  
Indika Perera ◽  
Anuradha Wickramarachchi
Keyword(s):  
Workflow Management ◽  
Tool Support ◽  
Distributed Workflow ◽  
Task Clustering

SwarmForm: A Distributed Workflow Management System with Task Clustering

2020 ◽  
Author(s):  
Ayesh Weerasinghe ◽  
Kalana Wijethunga ◽  
Randika Jayasekara ◽  
Indika Perera ◽  
Anuradha Wickramarachchi
Keyword(s):  
Management System ◽  
Workflow Management ◽  
Workflow Management System ◽  
Distributed Workflow ◽  
Task Clustering

AGENT-BASED COMMUNICATION FOR DISTRIBUTED WORKFLOW MANAGEMENT USING JINI TECHNOLOGIES

2003 ◽  
Vol 12 (01) ◽  
pp. 81-99 ◽  
Author(s):  
M. BRIAN BLAKE
Keyword(s):  
Workflow Management ◽  
Agent Communication ◽  
Communication Architecture ◽  
Agent Based ◽  
Distributed Workflow ◽  
Management Domain ◽  
Distributed Components ◽  
Software Engineering Process ◽  
Inference Systems ◽  
Manipulation Language

Agent communication has developed widely over the past decade for various types of multiple agent environments. Originally, most of this research surrounded simulation systems and inference systems. Subsequently, agents are expected to adapt to, dynamically create, and understand evolving conversation policies. This concept of agent communication is not completely necessary in some domains. One such domain is that of distributed workflow management with implications into Electronic Commerce. In this domain, agents are "middle-agents" that represent the distributed components that implement each individual workflow step. By representing the component-based services of each step, multiple distributed agents can essentially manage a workflow or supply chain that spans several online businesses (B2B). The WARP (Workflow-Automation through Agent-Based Reflective Processes) architecture is a multi-agent architecture developed to support distributed workflow management environments where distributed components are used to implement each of the workflow steps This paper describes an object-oriented workflow ontology for this distributed workflow management domain. There is also a software engineering process for integrating new component-based services into this ontology. Furthermore, the interaction protocol and supporting implementation based on the Knowledge Query and Manipulation Language (KQML) are presented. This agent communication architecture is implemented using Sun MicroSystems' Java and Jini technologies.

A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories

2016 ◽  
Vol 13 (2) ◽  
pp. 74-101
Author(s):  
Gustavo Ansaldi Oliva ◽  
Marco Aurélio Gerosa ◽  
Fabio Kon ◽  
Virginia Smith ◽  
Dejan Milojicic
Keyword(s):  
Impact Analysis ◽  
New Technology ◽  
Workflow Management ◽  
The Body ◽  
Analysis Approach ◽  
Tool Support ◽  
Change Impact Analysis ◽  
Support Organizations ◽  
Change Impact ◽  
The Impact

In ever-changing business environments, organizations continuously refine their processes to benefit from and meet the constraints of new technology, new business rules, and new market requirements. Workflow management systems (WFMSs) support organizations in evolving their processes by providing them with technological mechanisms to design, enact, and monitor workflows. However, workflows repositories often grow and start to encompass a variety of interdependent workflows. Without appropriate tool support, keeping track of such interdependencies and staying aware of the impact of a change in a workflow schema becomes hard. Workflow designers are often blindsided by changes that end up inducing side- and ripple-effects. This poses threats to the reliability of the workflows and ultimately hampers the evolvability of the workflow repository as a whole. In this paper, the authors introduce a change impact analysis approach based on metrics and visualizations to support the evolution of workflow repositories. They implemented the approach and later integrated it as a module in the HP Operations Orchestration (HP OO) WFMS. The authors conducted an exploratory study in which they thoroughly analyzed the workflow repositories of 8 HP OO customers. They characterized the customer repositories from a change impact perspective and compared them against each other. The authors were able to spot the workflows with high change impact among thousands of workflows in each repository. They also found that while the out-of-the-box repository included in HP OO had 10 workflows with high change impact, customer repositories included 11 (+10%) to 35 (+250%) workflows with this same characteristic. This result indicates the extent to which customers should put additional effort in evolving their repositories. The authors' approach contributes to the body of knowledge on static workflow evolution and complements existing dynamic workflow evolution approaches. Their techniques also aim to help organizations build more flexible and reliable workflow repositories.

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