[Colloquium] Seminar Announcement: Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning -REMINDER!

[Ninfa Mayorga]

Computation Institute- Data Lunch Seminar (DLS)

Speaker: Raffaele Montella, Assistant Professor, Computer Science, University Parthenope of Naples, Italy
Host: Tanu Malik 
Date: January 13, 2012
Time: 12:00 PM - 1:00 PM
Location: University of Chicago, Searle 240A, 5735 S. Ellis Avenue

Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning

Abstract.
High-resolution climate and weather forecast models, and regional and global sensor networks, are producing ever-larger quantities of multidimensional environ- mental data. To be useful, this data must be stored, managed, and made available to a global community of researchers, policymakers, and others. The emergence of commercial 'cloud' or infrastructure on demand providers (Mell & Tim, 2009) - operators of large storage and computing farms supporting quasi-instantaneous on-demand access and leveraging economics of scale to reduce cost - provides a potential alternative to the servers operated by systems such as ESG. Hosting environmental data in NetCDF format on cloud storage (e.g., Amazon S3) and running analysis pipelines on cloud computers (e.g., Amazon EC2) has the potential to reduce costs and/or improve the quality of delivered services, especially when responding to access peaks (Armbrust, Fox, Griffith, Joseph, Katz et al., 2009). In this paper we present the resul ts of a study that aims to determine whether it is indeed feasible and cost-effective to apply cloud services to the hosting and delivery of environmental data. We approach this question from the twin perspec- tives of architecture and cost. We first examine and present the design, development, and evaluation of a cloud-based software infrastructure that leverages some grid computing services and dedicated to the storage, processing, and delivery of multidimensional environmental data. In the conclusions and future directions some updates enforcing the Hadoop and Map Reduce application in this field.

Main reference: http://www.springerlink.com/content/j06911271nn128r3/
Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning
R. Montella, I. Foster

BIO:
Raffaele Montella works as an Assistant Professor, with tenure, in Computer Science, Department of Applied Science, School of Science and Technology, University 'Parthenope' of Naples, Italy since 2005. He received his degree (MSc equivalent) in (Marine) Environmental Science at the 'Parthenope' University of Naples in 1998, defending a thesis on the 'Development of a GIS system for marine applications', scoring laude and an award mention to his study career. He defended his PhD thesis on 'Environmental Modeling and Grid Computing Techniques' earning his PhD in Marine Science and Engineering at the University of Naples Federico II.

The main topics of research and the scientific production are focused on tools for high performance computing, such as grid, cloud and GPUs with applications in the field of computational environmental science (multidimensional data/distributed computing for modeling).

Information: Lunch will be provided

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