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Virginia Tech

Providing High Performance Computing based Models as a Service: Architecture and Services for Modeling Contagions on Large Networked Populations

Abstract

dc:description.abstract

Network science emerged as an interdisciplinary field over the last 20 years, and played a central role to address fundamental problems in other fields, e.g., epidemiology, public health, and transportation, and is now part of most university curriculums. Network dynamics is a major area within network science where researchers study different forms of processes in networked populations, such as the spread of emotions, influence, opinions, flu, ebola, and mass movements. These processes often referred to individually and collectively as contagions. Contagions are increasingly studied because of their economic, social, and political impacts. Yet, resources for studying network dynamics are largely dispersed and stand-alone. Furthermore, many researchers interested in the study of networks are not computer scientists. As a result, they do not have easy access to computing and data resources. Even with the presence of software or tools, it is challenging to install, build, and maintain software. These challenges create a barrier for researchers and domain scientists. The goal of this work is the design and implementation of a research framework for modeling contagions on large networked populations. The framework consists of various systems and services that provide support for researchers and domain scientists at different stages of their research workflow.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • El Meligy Abdelhamid, Sherif Hanie
Chairs dc:contributor.committeechair
  • Marathe, Madhav Vishnu
  • Kuhlman, Christopher James
Committee members dc:contributor.committeemember
  • North, Christopher L.
  • Ravi, S. S.
  • Kholief, Mohamed

Subjects

dc:subject × 9

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:9337
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/84456

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

El Meligy Abdelhamid, Sherif Hanie. Providing High Performance Computing based Models as a Service: Architecture and Services for Modeling Contagions on Large Networked Populations. doctoral thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/84456