11,428 research outputs found
Planning with Global Constraints for Computing Infrastructure Reconfiguration
This paper presents a prototype system called SFplan- ner which uses an automated planning technique to generate workflows for reconfiguring a computing infras- tructure. The system allows an administrator to specify a configuration task which consists of current state, de- sired state and global constraints. This task is compiled to a grounded finite-domain representation as the input for the standard (unmodified) Fast-Downward planner in order to automatically generate a workflow. The ex- ecution of the workflow will bring the system into the desired state, preserving the global constraints at every stage of the workflow
Investigation into Mobile Learning Framework in Cloud Computing Platform
Abstract—Cloud computing infrastructure is increasingly
used for distributed applications. Mobile learning
applications deployed in the cloud are a new research
direction. The applications require specific development
approaches for effective and reliable communication. This
paper proposes an interdisciplinary approach for design and
development of mobile applications in the cloud. The
approach includes front service toolkit and backend service
toolkit. The front service toolkit packages data and sends it
to a backend deployed in a cloud computing platform. The
backend service toolkit manages rules and workflow, and
then transmits required results to the front service toolkit.
To further show feasibility of the approach, the paper
introduces a case study and shows its performance
Modeling and Execution of Multienterprise Business Processes
We discuss a fully featured multienterprise business process plattform
(ME-BPP) based on the concepts of agent-based business processes. Using the
concepts of the subject-oriented business process (S-BPM) methodology we
developed an architecture to realize a platform for the execution of
distributed business processes. The platform is implemented based on cloud
technology using commercial services. For our discussion we used the well known
Service Interaction Patterns, as they are empirically developed from typical
business-to-business interactions. We can demonstrate that all patterns can be
easily modeled and executed based on our architecture. We propose therefore a
change from a control flow based to an agent based view to model and enact
business processes.Comment: arXiv admin note: substantial text overlap with arXiv:1404.273
Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud
With the advent of cloud computing, organizations are nowadays able to react
rapidly to changing demands for computational resources. Not only individual
applications can be hosted on virtual cloud infrastructures, but also complete
business processes. This allows the realization of so-called elastic processes,
i.e., processes which are carried out using elastic cloud resources. Despite
the manifold benefits of elastic processes, there is still a lack of solutions
supporting them.
In this paper, we identify the state of the art of elastic Business Process
Management with a focus on infrastructural challenges. We conceptualize an
architecture for an elastic Business Process Management System and discuss
existing work on scheduling, resource allocation, monitoring, decentralized
coordination, and state management for elastic processes. Furthermore, we
present two representative elastic Business Process Management Systems which
are intended to counter these challenges. Based on our findings, we identify
open issues and outline possible research directions for the realization of
elastic processes and elastic Business Process Management.Comment: Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and
P. Hoenisch (2015). Elastic Business Process Management: State of the Art and
Open Challenges for BPM in the Cloud. Future Generation Computer Systems,
Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.00
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