Paper Info
Title
Practical Considerations in Cloud Utilization for the Science Gateway nanoHUB.org
Abstract
nanoHUB.org is arguably the largest online nanotechnology user facility in the world. Just between July 2010 and June 2011 it served 177,823 users. 10,477 users ran 393,648 simulation jobs on a variety of computational resources ranging from HUB zero-based virtual execution hosts for rapid, interactive runs as well as grid-based resources for computationally-intense runs. We believe that as such our users experience a fully operational scientific "cloud"-based infrastructure even though it is not using "standard" computational cloud infrastructures such as EC2. In this paper we explore the use of standard computational cloud-based resources to determine whether they can deliver satisfactory outcomes for our users without requiring high personnel costs for configuration. In a science gateway environment, the assignment of jobs to the appropriate computational resource is not trivial. Resource availability, wait time, time to completion, and likelihood of job success must all be considered in order to transparently deliver an acceptable level of service to our users. In this paper, we present preliminary results examining the benefits and drawbacks of utilizing standard computational cloud resources as one potential venue for nano HUB computational runs. In summary we find that cloud resources performed competitively with other grid resources in terms of wait time, CPU usage, and success in a multiple job submission strategy.
Year
DOI
Venue
2011
10.1109/UCC.2011.46
UCC
Keywords
Field
DocType
standard computational cloud resource,computational cloud,appropriate computational resource,standard computational cloud-based resource,wait time,job success,cloud resource,grid-based resource,computational resource,grid resource,science gateway nanohub,practical considerations,cloud utilization,grid computing,logic gates,level of service,computational modeling,computer model,internet,logic gate,virtual machine,nanotechnology,user experience,cloud computing,resource allocation
World Wide Web,Grid computing,Level of service,Computer science,CPU time,Internetworking,Resource allocation,Computational resource,Database,The Internet,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4577-2116-8
5
0.45
References 
Authors
11
7
Name
Order
Citations
PageRank
Lynn K. Zentner1102.64
Steven M. Clark260.82
Preston M. Smith3343.72
Swaroop Shivarajapura471.20
Victoria Farnsworth591.59
Krishna P. C. Madhavan6276.84
Gerhard Klimeck712926.11