19,657 research outputs found
Integration of BPM systems
New technologies have emerged to support the global economy where for instance suppliers, manufactures and retailers are working together in order to minimise the cost and
maximise efficiency. One of the technologies that has become a buzz word for many businesses is business process management or BPM. A business process comprises activities
and tasks, the resources required to perform each task, and the business rules linking these activities and tasks. The tasks may be performed by human and/or machine actors.
Workflow provides a way of describing the order of execution and the dependent relationships between the constituting activities of short or long running processes.
Workflow allows businesses to capture not only the information but also the processes that transform the information - the process asset (Koulopoulos, T. M., 1995). Applications which involve automated, human-centric and collaborative processes across organisations are
inherently different from one organisation to another. Even within the same organisation but over time, applications are adapted as ongoing change to the business processes is seen as the norm in today’s dynamic business environment. The major difference lies in the specifics of business processes which are changing rapidly in order to match the way in which businesses operate. In this chapter we introduce and discuss Business Process Management (BPM) with a focus on the integration of heterogeneous BPM systems across multiple organisations. We identify the problems and the main challenges not only with regards to technologies but also in the social and cultural context. We also discuss the issues that have arisen in our bid to find the solutions
Workflow Partitioning and Deployment on the Cloud using Orchestra
Orchestrating service-oriented workflows is typically based on a design model
that routes both data and control through a single point - the centralised
workflow engine. This causes scalability problems that include the unnecessary
consumption of the network bandwidth, high latency in transmitting data between
the services, and performance bottlenecks. These problems are highly prominent
when orchestrating workflows that are composed from services dispersed across
distant geographical locations. This paper presents a novel workflow
partitioning approach, which attempts to improve the scalability of
orchestrating large-scale workflows. It permits the workflow computation to be
moved towards the services providing the data in order to garner optimal
performance results. This is achieved by decomposing the workflow into smaller
sub workflows for parallel execution, and determining the most appropriate
network locations to which these sub workflows are transmitted and subsequently
executed. This paper demonstrates the efficiency of our approach using a set of
experimental workflows that are orchestrated over Amazon EC2 and across several
geographic network regions.Comment: To appear in Proceedings of the IEEE/ACM 7th International Conference
on Utility and Cloud Computing (UCC 2014
A Taxonomy of Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and
engineers are building more and more complex applications to manage and process
large data sets, and execute scientific experiments on distributed resources.
Such application scenarios require means for composing and executing complex
workflows. Therefore, many efforts have been made towards the development of
workflow management systems for Grid computing. In this paper, we propose a
taxonomy that characterizes and classifies various approaches for building and
executing workflows on Grids. We also survey several representative Grid
workflow systems developed by various projects world-wide to demonstrate the
comprehensiveness of the taxonomy. The taxonomy not only highlights the design
and engineering similarities and differences of state-of-the-art in Grid
workflow systems, but also identifies the areas that need further research.Comment: 29 pages, 15 figure
SFDL: MVC Applied to Workflow Design
Process management based on workflow systems is a growing trend in collaborative environments. One of the most notorious areas of improvement is that of user interfaces, especially since business process definition languages do not address efficiently the point of contact between workflow engines and human interactions. With that in focus, we propose the MVC pattern design to workflow systems. To accomplish this, we have designed a new dynamic view definition language called SFDL, oriented towards the easy interoperability with the different workflow definition languages, while maintaining enough flexibility to be represented in different formats and being adaptable to several environments. To validate our approach, we have carried out an implementation in a real banking scenario, which has provided continuous feedback and enabled us to refine the proposal. The work is fully based on widely accepted and used web standards (XML, YAML, JSON, Atom and REST). Some guidelines are given to facilitate the adoption of our solution
Enhancing Workflow with a Semantic Description of Scientific Intent
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