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Enis Afgan

Researcher at Johns Hopkins University

Publications -  75
Citations -  6420

Enis Afgan is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Cloud computing & Grid computing. The author has an hindex of 18, co-authored 73 publications receiving 4585 citations. Previous affiliations of Enis Afgan include University of Alabama at Birmingham & Victorian Life Sciences Computation Initiative.

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Application Specification Language (ASL) - A Language for Describing Applications in Grid Computing.

TL;DR: This paper presents a new grid language called Application Specification Language (ASL), which allows application developers to describe their individual applications, and provides examples of language use showing how adoption of ASL alleviates some of the deployment and runtime difficulties.
Proceedings ArticleDOI

Custos: Security Middleware for Science Gateways

TL;DR: Custos is introduced, a software framework that provides common security operations for science gateways, including user identity and access management, gateway tenant profile management, resource secrets management, and groups and sharing management through a language-independent Application Programming Interface that encapsulates science gateway usage scenarios.
Book ChapterDOI

Grid resource broker using application benchmarking

TL;DR: The design and prototyping of such a resource broker that not only selects a matching resource based on user specified criteria but also uses the application performance characteristics on the resources enabling the user to execute applications transparently and efficiently thereby providing true virtualization is described.
Proceedings ArticleDOI

CloudBridge: a Simple Cross-Cloud Python Library

TL;DR: An open source Python library called CloudBridge is described that provides a simple, uniform, and extensible API for multiple clouds, allowing applications to confidently utilize any of the supported clouds without any cloud-specific code or testing.

System Acceptance Report for NSF award 1445604 ”High Performance Computing System Acquisition: Jetstream - A Self-Provisioned, Scalable Science and Engineering Cloud Environment”

TL;DR: The first production cloud resource supporting general science and engineering research within the XD ecosystem is Jetstream as discussed by the authors, which will become available for production use in 2016 and will aid thousands of researchers who need modest amounts of computing power interactively.