IEEE Transactions on Software Engineering
Foundations for the study of software architecture
ACM SIGSOFT Software Engineering Notes
Team automata for groupware systems
GROUP '97 Proceedings of the international ACM SIGGROUP conference on Supporting group work: the integration challenge
Linearizer: a heuristic algorithm for queueing network models of computing systems
Communications of the ACM
IEEE Transactions on Software Engineering
Architectures for very large scale workflow management systems
Architectures for very large scale workflow management systems
Resource constraints analysis of workflow specifications
Journal of Systems and Software - Special issue: Applications of statistics in software engineering
Future Generation Computer Systems
Performance metrics and ontologies for Grid workflows
Future Generation Computer Systems
DIPAS: A distributed performance analysis service for grid service-based workflows
Future Generation Computer Systems
Overhead Analysis of Grid Workflow Applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Dwelling time probability density distribution of instances in a workflow model
Computers and Industrial Engineering
XWELL: a XML-based workflow event logging mechanism and language for workflow mining systems
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Workcase-oriented workflow enactment components for very large scale workflows
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
A real-time cooperative swim-lane business process modeler
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
A process-driven inter-organizational choreography modeling system
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
An EJB-based very large scale workflow system and its performance measurement
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
A process-driven e-business service integration system and its application to e-logistics services
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Online performance monitoring and analysis of grid scientific workflows
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Workflow performance analysis and simulation based on multidimensional workflow net
Computers in Industry
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The design and implementation of a workflow management system is typically a large and complex task. Decisions need to be made about the hardware and software platforms, the data structures, the algorithms, and network interconnection of various modules utilized by various users and administrators. These decisions are further complicated by requirements such as flexibility, robustness, modifiability, availability, performance, and usability. As the size of workflow systems increases, organizations are finding that the standard server/client architectures, and off-the-shelf solutions are not adequate. We can further see that in the future, very large-scale workflow systems (VLSW) will become more complex, and more prevalent. Thus, one further requirement is an emphasis of this document: scalability. For the purposes of our scalable workflow investigations, we describe a framework, a taxonomy, a model, and a methodology to investigate the performance of various workflow architectures as the size of the system (number of workcases) grows very large.First, this paper presents a novel workflow architectural framework and taxonomy. We survey some example current workflow products and research prototype systems, illustrating some of the taxonomical categories. In fact, most current workflow architectures fall into only one of the many categories of this taxonomy: the centralized server/client category. The paper next explains a performance analysis methodology useful for exploring this taxonomy. The methodology deploys a layered queuing model, and performs mathematical analysis on this model using a modified MOL (method of layers) combined with a linearization algorithm. Finally, the paper utilizes this methodology to compare and contrast the various architectural categories, providing interesting results about performance as the number of workcases increases. Our analytic results suggest that (a) for VLSW performance determination, software architecture is as important as hardware architecture, and (b) alternatives to the client server architecture provide significantly better scalability.