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Graziano Obertelli

Researcher at University of California, Santa Barbara

Publications -  13
Citations -  3204

Graziano Obertelli is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 13, co-authored 13 publications receiving 3168 citations. Previous affiliations of Graziano Obertelli include University of California, San Diego.

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Proceedings ArticleDOI

The Eucalyptus Open-Source Cloud-Computing System

TL;DR: This work presents Eucalyptus -- an open-source software framework for cloud computing that implements what is commonly referred to as Infrastructure as a Service (IaaS); systems that give users the ability to run and control entire virtual machine instances deployed across a variety physical resources.
Journal ArticleDOI

Adaptive computing on the Grid using AppLeS

TL;DR: The AppLeS (Application Level Scheduling) project provides a methodology, application software, and software environments for adaptively scheduling and deploying applications in heterogeneous, multiuser grid environments and outlines the findings.
Proceedings ArticleDOI

The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

TL;DR: This paper describes a user-level Grid middleware project, the AppLeS Parameter Sweep Template (APST), that uses application-level scheduling techniques and various Grid technologies to allow the efficient deployment of parameter sweep applications over the Grid.
Proceedings ArticleDOI

VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance

TL;DR: This paper applies VGrADS' virtual grid execution system (vgES) for scheduling a set of deadline sensitive weather forecasting workflows and reports on experiences with virtualized reservations for batchqueue systems, coordinated usage of TeraGrid, Amazon EC2, and Eucalyptus resources, and fault tolerance through automated task replication.
Proceedings ArticleDOI

Application-aware scheduling of a magnetohydrodynamics application in the Legion metasystem

TL;DR: A new high-performance scheduler is described that incorporates dynamic system information, application requirements, and a detailed performance model in order to create performance efficient schedules.