U.S. Army Modeling and Simulation Executable Architecture Deployment Cloud Virtualization Strategy

Abstract

Our research has included leveraging Virtualization Technologies to provide integration, configuration and execution relief of Modeling & Simulation (M&S) event planning, instantiation and analysis. We have achieved this through a single service that is used to deploy and execute stand-alone applications as well as separate, but cooperative, applications on a dynamic virtual machine-based cloud. This use of virtualization technology shows significant cost savings in reducing the human effort for integration, test and execution by providing a powerful virtual machine environment that combines new and existing applications and theirconfigurations. Our effort eliminates the time needed to manually configure and execute these applications on physical hardware once they are captured in the system.

Towards a benefits dependency network for DevOps based on a systematic literature review

“…For the practices, 15 studies of the selected ones have presented or discussed any activity in the context of DevOps,() from which we identified the 29 practices. These studies mostly had a general discussion and do not investigate the practices in detail.…”

“…Some relations have been extracted directly from the selected studies() and some other (dash colored orange in Figure ) assumed by the authors during this study and using 2 studies. ()…”

ClouNS - a Cloud-Native Application Reference Model for Enterprise Architects

“…Several research approaches tried not to focus the cloud infrastructure as object of standardization but to standardize the deployment of complex systems. This is often done by defining descriptive (often XML-based) deployment languages [25], [26], [27], [28]. However, these kind of languages are often limited to static (non elastic) deployments.…”

Lightweight Virtualization Cluster How to Overcome Cloud Vendor Lock-In

“…But a transfer between these worlds is hardly possible right now because they seem to rely on a lot of very infrastructure specific features. • More formal research approaches try to formalize the deployment description by defining mostly XMLbased deployment languages (compare [8]- [11]). Using a deploying component capable to interpret the deployment language theses approaches are capable to deploy these formal descriptions to the APIs of several service providers (even into federated clouds).…”